PSJ Model Guidebook

Prepared: March 2011
Revised: April 2016
Japan Securities Dealers Association
PSJ Calculation Statistics Council

Table of Contents
Forward to the English Language Version ....................................................... 1
Forward to the Japanese Language Version.................................................... 2
Chapter 1 Purpose for Introducing the PSJ Model ........................................... 3
Chapter 2 MBS Prepayments .......................................................................... 6
Section 1 Scheduled Repayments and Prepayments of Mortgages............... 6
Section 2 CPR and SMM ............................................................................... 8
Section 3 Example of the Use of CPR and SMM with JHF MBS.................. 11
Chapter 3 PSJ Model—Standard Model ........................................................ 21
Section 1 The Development Concept of the Standard Model ....................... 21
Section 2 Definitions .................................................................................... 23
Section 3 Process of Producing Cash Flows for JHF MBS using the Standard
Model ........................................................................................................... 25
Section 4 Example of Application for Risk Management .............................. 33
Chapter 4 PSJ Model—Customized Model .................................................... 37
Section 1 The Development Concept of the Customized Model .................. 37
Section 2 Definitions .................................................................................... 38
Section 3 Process of Producing Cash Flows for JHF MBS using theCustomized Model ....................................................................................... 41
Afterword to the Japanese Language Version ............................................... 45
Appendix 1 Measures toward the Establishment of an Infrastructure for the
MBS Market in Japan ..................................................................................... 46
Appendix 2 Format for PSJ Calculation Statistical Values Report: Average
Values ............................................................................................................ 54

The amendment in April 2016 is as follows:
Amendment
30 Deleted

Original text
30 With PSJ calculation statisticalvalues, the PSJ calculation values
reported by participating JSDA
member firms when interest rates
change are premised on a parallel
shift in the yield curve. As a result, if
the interest rate is negative, thecalculation is done using 0%.

Forward to the English Language Version
In 2006, the Japan Securities Dealers Association (hereinafter referred to as
the “JSDA”) began to operate the Prepayment Standard Japan (PSJ) model
created based on discussions by its Working Group on a Japan Version of the
PSA Model (hereinafter referred to as the “WG”). In conjunction with thatevent, JSDA also published the PSJ Model Guidebook.
The introduction of the PSJ Model enabled market participants to enjoy theconvenience of using common price levels, spread valuations, and otherfactors based on the same expected cash flows, which improved pricing
transparency in the mortgage backed securities (MBS) market. Currently, useof the PSJ model as a standard measure for the prepayment rates has fully
penetrated Japan’s MBS market in both the primary and secondary markets.
broker/dealers participate in the PSJ Calculation Statistics Council set up to
carry on the work of the WG, continuing to provide PSJ calculation data to themarket and endeavoring to maintain and improve the convenience of the PSJ
model.
In other related events, the Japanese government introduced a preferential
tax treatment for non-resident holders of Japanese municipal and corporate
bonds in June 2010. It is hoped that more measures will be introduced infuture to increase the participation of foreign investors in the domesticallyissued MBS market.
As with the Japanese version of this guidebook, we hope that use of the
English version by cross border market participants will contribute to thegrowth of the MBS market in Japan.

March 29, 2011JSDA
PSJ Calculation Statistics Council1Forward to the Japanese Language Version
In November 2005, after receiving a joint proposal from several broker/dealers
handling mortgage backed securities (MBS) regarding introducing a standard
measure for market participants to use for prepayment rates, the Japan
Securities Dealers Association (JSDA), established a Working Group on a
Japan Version of the PSA Model under its Securities Strategy Board andbegan deliberations.
Over the ensuring period and after a great deal of energetic discussion, theworking group came up with the PSJ model. The Securities Strategy Board
formally approved the introduction of this model on April 24, 2006. 1
Put simply, the PSJ model is an easy-to-use mathematical model for
expressing MBS prepayment scenarios. The model has been rendered usable
for a large range of market participants by greatly simplifying its form.
Moreover, because the model was designed to reflect the special
characteristics of the prepayment rate of MBS, which are known to move in a
specific way over time, it is relatively easy to express a variety of prepayment
scenarios over certain timeframes using a standard measure for market
participants.
This guidebook was created with those coming into contact with the PSJ
model for the first time in mind. It aims to promote the widespread use of themodel by providing as simple as possible explanations of the purpose for
introducing the model, definitions, practical use of the model, and other points.
It is hoped that growing use of the PSJ model will familiarize many moremarket participants with the prepayment rates and cash flow analysis of MBS,leading to greater activity in the MBS secondary market and contributing to
improved market liquidity.

April 24, 2006
JSDA
Working Group on a Japan Version of the PSA Model

1

Please refer to Appendix 1: “Measures toward the Establishment of an Infrastructure for the
MBS Market in Japan”

2Chapter 1 Purpose for Introducing the PSJ Model
In analyzing the investment value of an MBS 2 issue, it is important to be able
to project contingent cash flows based on a fixed assumption of the
prepayment rate. While a certain portion of market participants can assess theinvestment value of an MBS issue on their own using complex prepayment
models created based on their own analysis to estimate cash flows by
projecting a prepayment rate, not all market participants are capable of doing
so. Therefore, to pursue the further development of the MBS market, what isneeded is a common metric for prepayment rates that can be used in practicalterms by a much larger number of market participants to analyze investment
value.
To that end, the working group has created the Prepayment Standard Japanmodel (PSJ model). Produced as part of efforts to develop the market
infrastructure from the perspective of the role the securities industry shouldplay in Japan’s MBS market, it is meant to serve as a standard measure forthe characteristic prepayments of MBS.
The significance of the introduction of the PSJ model produced by the working
group is as follows.
1. MBS and prepayments
The major characteristic of MBS financial instruments is that prepayments are
made to MBS holders based on the pass-through of the prepayments made to
the underlying mortgage pool.
Currently, the most widely used measures for expressing prepayment rates bymortgage pools and prepayment rates on MBS are SMM 3 and CPR 4. The
former expresses the monthly prepayment rate for mortgage pools as apercentage, while the latter expresses it as an annualized prepayment rate inpercentage (in terms of actual use, the CPR is the most commonly usedmeasure).
2. Importance of prepayment rate in analysis of investment value of MBS
From the point of view of market participants, the determination ofassumptions about the prepayment rate is extremely important. Contrary to
the fixed cash flows of a regular bullet bond that is redeemed in a lump sum atmaturity, the analysis of the investment value of the MBS depends on the2Acronym for Mortgage Backed Securities. The term is generally used for housing loan
(residential mortgage loan) backed securities or trust beneficiary rights. Housing loan backed
securities and trust beneficiary rights are sometimes referred to as RMBS (Residential
Mortgage Backed Securities) when it is necessary to distinguish them from CMBS
(Commercial Mortgage Backed Securities) which are secured by commercial property loans.

3Single Monthly Mortality

4

Conditional Prepayment Rate or Constant Prepayment Rate3

contingent cash flows. Put in another way, if an assumed prepayment rate is
not used to project cash flows, the product cannot be priced.
It is possible for market participants to analyze the Japan Housing FinanceAgency (JHF)’s publicly announced historical mortgage repayment data andother data and predict the CPR of an MBS issue.
Currently, each market participant must use its own methods based on
analysis to build a complex model, estimate future CPR, and use it tocalculate and evaluate cash flows. In determining the prepayment rate trend
among MBS, it is well known that the CPR will vary in accordance with theinterest rate climate. It also has been recognized through experience that the
CPR will follow a certain trend over time from the origination of the loan.
3. Necessity of market participants using a common standard in order toconfer on a prepayment rate for an MBS issue
As noted in 2. above, each of the market participants will arrive at a different
trend for the future prepayment rates of an MBS issue. Since each of themarket participants will come up with different evaluations for the cash flows
even for the same MBS issue, these variations will result in different prices
even if the market participants use the same spread (discount curve) 5. Of
course, these differing views of MBS cash flows by market participants are nota problem in themselves.
Nevertheless, because not all of the market participants are capable of doingthese calculations, without a common measure in the MBS market to enable a
comparison of these differing views of cash flow, many investors will havedifficulties in analyzing the investment value of MBS. This condition could
create an obstacle to the future expansion of the investor base in the MBS
market.
For that purpose, it is necessary to have a standard prepayment model that
includes variations in CPR over time. This model will serve as a simple
measure of CPR that can be used practically by many more market
participants in their analysis of MBS investment value.
With this thinking in mind, in 1985, the Public Securities Association, currently
the Securities Industry and Financial Markets Association (SIFMA) introduced
the Prepayment Speed Assumption Model (PSA model) in the United States.
The model continues to be widely used by market participants.
4. Significance of the introduction of the PSJ model
Should the PSJ model become widely used by market participants and becommonly recognized by market participants as a standard measure for MBS
5

The spread is the difference between the yield curve for government bond par yields, orswap rate, or other rate that becomes the standard yield curve and the yield curve of the MBS.
In discounting the value of the expected cash flows of the MBS to their present values, it isnormal to use a yield curve that includes a certain spread on the standard yield curve(discount curve).

4

prepayment rates that takes into account the classic behavior of prepayments,
which reflect the seasoning factor by month, the working group considers that
it would have the following significance from the point of view of development
and expansion of the MBS market.
• It would become possible for market participants to confer on the MBS
prepayment rate based on a much more detailed set of prerequisites.
• When multiple broker/dealers announced their own projected pre-payment
rates, inputting each company’s projected prepayment rate into the PSJ
model would enable a comparison of the differences in each prepayment rateusing a common measure.
• Providing a simple function-based model as a common platform for market
participants would facilitate evaluation and understanding of expected cash
flows by transaction counterparties, which can be expected to broaden theinvestment field for market participants.
• In future, when an MBS-secured CMO 6 market emerges in Japan, it would
be possible to structure products premised on a common understanding ofMBS prepayment rates, which can be expected to allow a wider range of
product structures.
• The model would enable simpler and more convenient ways to manage
MBS risks using expected prepayment rates.

6

An acronym for Collateralized Mortgage Obligation. A general term for artificially createdmultiple class financial products secured by cash flows from residential mortgage pools or
MBS (pass-through securities of residential mortgage pools). CMOs can be structured with awide range of risk profiles.

5Chapter 2 MBS Prepayments
In this chapter, we review the fundamental thinking about prepayments, a
special and important factor in MBS products.
Section 1 Scheduled Repayments and Prepayments of Mortgages
Principal repayments on MBS occur according to the principal repayments by
the underlying mortgage pool. The two major reasons for principal
repayments are scheduled repayments and prepayments.
1. Scheduled repayments
Based on the mortgage loan agreement, a monthly or semi-annual repayment
schedule is determined for a mortgage loan. While principal and interest equal
repayment and principal equal repayment methods are both available,
generally borrowers choose the former, in which the amount of monthly or
semi-annual repayment is a fixed sum. Since the amount of the repayment
and the schedule are based on the mortgage loan agreement, the amount of
the loan, the interest rate, and the term of the mortgage vary by individual
mortgage loan. The planned repayment determined by the agreement iscalled the scheduled repayment.
2. Prepayments
Scheduled repayments take place only according to the mortgage loan
agreement, but with mortgage loans, the borrower or the subrogation rights
holder have the right to make repayments ahead of schedule. For that reason,
when considering the cash flows from MBS secured by a mortgage pool, it
must be assumed that some principal payments will occur ahead of schedule.
These early principal repayments from the mortgage pool and early paymentsfrom MBS are termed prepayments. On a mortgage loan level, the following
are the two main types of prepayments of principal.
(1) Advance repayment
The following are the two types of advance repayments that a borrower of amortgage loan may make.
a. Partial advance repayment
In a partial advance repayment the mortgage loan debtor uses surplus funds,
etc. to pay back a portion of the loan ahead of schedule. When a partial
advance repayment is made on a mortgage loan, the repayment schedule
must be recalculated for the remaining principal. There are two ways in which
the new schedule can be made: either the monthly or semi-annual repayment
amounts are kept the same and the period of the loan is shortened(hereinafter referred to as the “term-reduction type”), or the period of the loan
is kept the same and the monthly or semi-annual repayment amounts are
reduced (hereinafter referred to as the “payment-reduction type”).

6b. Full advance repayment
In a full advance repayment, in addition to using surplus funds, etc., thedebtor may refinance the loan or sell the residence and move, resulting in afull advance repayment of the outstanding loan balance in a lump sum.
(2) Subrogation, etc.
When a debtor becomes unable to make scheduled repayments according toschedule, the following types of subrogation may take place. However,
because of the impact of payment delinquencies, mortgage loan defaults,
subrogation, and other events on the cash flows of MBS differs according to
the structure of MBS, the effect must be confirmed for individual products.
a. Subrogation settlement by loan guarantee company
When the debtor is no longer able to pay the loan because he/she has gonebankrupt, etc., the loan guarantee company repays the full amount of theoutstanding loan on behalf of the debtor.
b. Settlement with life insurance proceeds
When the debtor dies, the outstanding loan is fully repaid using the proceedsfrom a group life insurance contract under which the debtor was insured.
* In the case of a JHF MBS
In the case of Japan Housing Finance Agency MBS and Government Housing
Loan Corporation (GHLC) MBS (together referred to below as “JHF MBS”) 7,
the mortgage loan for which the unforeseen change in the repayment
schedule has occurred is removed from the underlying assets and 1) replacedwith sound loans held by JHF in the case of monthly MBS issued during theGHLC era and S-series MBS or 2) JHF makes a partial payment of theprincipal of the MBS in the amount of the removed loan in the case of monthly
MBS issued by JHF.

7

Currently, JHF issues monthly MBS secured by the mortgage pool it purchases monthly andS-series MBS backed by mortgages originated by GHLC.
The Government Housing Loan Corporation (GHLC) is the predecessor of the Japan Housing
Finance Agency (JHF).

7

Section 2 CPR and SMM
The payment of MBS principal occurs in accordance with the repayment ofprincipal by the underlying mortgage pool. As previously mentioned, theseloan payments can be roughly divided into scheduled repayments andprepayments.
1. SMM
The Single Monthly Mortality (SMM) indicates the monthly prepayments by
the mortgage pool and is the most basic figure for calculating the prepayment
rate.
The detailed calculation for SMM is to divide the prepayment amounts
incurred for the base month by the scheduled principal balance for the basemonth (the principal balance for the previous month less the scheduled
repayments for the base month).
SMM (%) =

PPT1
PPT1
× 100 =× 100
SOS1
COS 0 − SPP1

(Formula 2-2-1)

COS 0 ：Principal balance of month previous to base month
SPP1 ：Scheduled repayments for base month
PPT1 ： Prepayments for base month

8

9

10
11

SOS1 ： Scheduled principal balance for the base month ( = COS 0 − SPP1 )2. CPRThe Conditional/Constant Prepayment Rate is the annualized rate of themonthly calculated SMM. The CPR is calculated using the following formulabased on the SMM.
 
SMM 
CPR(%) = 1 − 1 −

 
100 


12


 × 100(Formula 2-2-2)

Conversely, the SMM can be derived from the CPR by reversing the
calculation shown in (Formula 2-2-2) above, using the following formula.
CPR 
 × 100
SMM (%) = 1 − 12 1 −100 
(Formula 2-2-3)

8

COS: Current Outstanding
Scheduled Principal Payment
10
Prepayment
11
Scheduled Outstanding
98

3. Long-term CPR
The monthly CPR of mortgage pools differs by pool (sample group). Its term
structure is determined based on such factors as the annual seasoning
structure and the Weighted Average Loan Age (WALA) from the origination of
the loan.
(Chart 2-2-1) Relationship between WALA as derived from publicized datafrom JHF and CPR
60%
50%

CPR（％）

40%
30%
20%
10%
0%
0

50

100

150

200

250

300

AccruedMonths (WALA)
経過月数（WALA）(Source: Produced by WG based on historical data publicized by JHF)

As a result, the monthly CPR of an MBS issue is not actually uniform, it
basically varies every month.
In order to express the expected time series of the monthly CPR as a uniform
CPR for descriptive purposes, the long term CPR (LTCPR) is used. Ordinarily,
when “Expected CPR” is used regarding MBS, it means the LTCPR.
Generally, the LTCPR indicated by broker/dealers is a figure calculated sothat the weighted average life (WAL) of the MBS derived using the CPR and
the WAL of the MBS derived from the monthly CPR predicted with a timeseries deduced using a self-developed prepayment model are the same.
If you graph the LTCPR against WALA, it forms a straight line parallel to the X
axis. The LTCPR, therefore, can be said to be the simplest prepayment model
for creating the expected cash flows of an MBS issue with term structure.

9

CPR（％）(Chart 2-2-2) Relationship between WALA and LTCPR

0

50

100

150

200

経過月数（WALA）
AccruedMonths (WALA)

10

250

300

Section 3 Example of the Use of CPR and SMM with JHF MBS
In this section, using JHF MBS, we will explain in detail how the CPR and
SMM are used in determining the cash flows from the MBS expected
prepayment rate.
1. Factor and Scheduled Factor
The factor sets the loan principal balance of the mortgage pool securing the
MBS at the point of collection corresponding to issue date of the MBS as 1,with the outstanding loan principal balance at a collection point corresponding
to any point of time after issue date being 1 or less. It is calculated using thefollowing formula.
F=

COS
OOS

(Formula 2-3-1)

F ： Factor
COS ：Outstanding loan principal balance at collection point

corresponding to any given point in time
OOS ：Outstanding loan principal balance at collection point
corresponding to issue date of MBS 12
On the other hand, with MBS, the factor sets the original face value of the
MBS at issue (hereinafter referred to as “Original Face”) as 1, with theoutstanding face values at any given point in time (hereinafter referred to as“Current Face”) being 1 or less. The factor is calculated using the following
formula. Most MBS in Japan are structured using the senior portion of themortgage pool after removing the subordinated portion of loans or the overcollateralization portion. However, it should be pointed out that for MBS thatutilize a credit enhancement system with sequential pay 13 for asenior/subordinated structure, the mortgage pool factor and the MBS factor
will not be the same.
F=

CF
OF

(Formula 2-3-2)

F ： Factor
14
CF ：Actual face value balance at any given point in time
15
OF ：Face value balance at point of issue of MBS

12

OOS: Original Outstanding
Sequential pay is a payment system where the underlying assets have been securitized
into multiple classes of securities for which the principal payments from the underlying assets
are made to each class in a predetermined order. For example, if the securitized product had
three senior-sub tranches of A, B, and C, principal payments from the underlying assets
would all go to tranche A until its principal was completely returned, with principal payments
then shifting to tranche B and finally C. This type of payment system is commonly seen withsenior-sub MBS in the private sector.
14
CF: Current Face
15
OF: Original Face
13

11

The formula can be arranged as follows to derive the current face valuebalance from the original face value balance by multiplying by the factor.
CF = OF × F(Formula 2-3-3)

The Scheduled Factor expresses the time series of monthly MBS factors if theunderlying mortgage loans in the pool make their principal payments
according to the repayment schedule (CPR is 0%). At the very least, forregular MBS, the Scheduled Factor for the pool cut off date 16 is made public
at the time of issue.
2. JHF MBS Factor
In the case of JHF MBS, JHF designs its products so that the Factor of theunderlying mortgage pool (entrusted mortgage pool) at the end of a collection
month is always the same as the Factor of the MBS on the principal andinterest payment date of the corresponding collection month. In other words,
although there will be a difference in the calculation process of the Scheduled
Factor based on loan balance for the entrusted mortgage pool or on the MBSface value balance, since the principal repayments of the mortgage pool andthe principal payments of the MBS are always conducted on a pro rata basis,the factors will always be the same.
However, it should be noted that a time lag can occur in either the actual
collection of repayments from the mortgage or the principal and interest
payments of the MBS.
For example, with the No. 39 GHLC MBS issued on February 8, 2006
(hereinafter referred to as the “No.39 GHLC issue”), while the MBS Factor for
the issue date is 1, the Factor for the entrusted mortgage pool is 1 at the endof December 2005. Similarly, the 0.99533 Factor applied on the No. 39 JHF
issue principal and interest payment date of March 10, 2006, corresponds to
the Factor of the entrusted mortgage pool at the end of January 2006.
In other words, the Factor applied on the monthly principal and interest
payment date of a JHF MBS is the entrusted mortgage pool Factor on the last
day of the month two months previous to the principal and interest payment
date.
3. JHF MBS Scheduled Factor
When issuing JHF MBS, JHF makes public on its Web site the entrusted
mortgage pool Scheduled Factor, the Actual Factor for the issued MBS, theInitial Scheduled Factor, and the Rescheduled Factor, which recalculates theimpact of prepayments and loan replacements, etc. every six months
following the issue.

16

Date on which the loans to be included in the housing loan pool securing the MBS are
determined.

12

4. Method of calculating the expected principal payment amounts of JHF MBS
based on expected CPR
Using the expected CPR of a JHF MBS, the project principal payment
amounts can be calculated.
For the purposes of explaining the process using mathematical formula, wehave first put together a list of the definitions of the notations used in thefollowing section (Please see Table 2-3-1).

13

(Table 2-3-1) Definitions Used in this Section
S 0 : The base monthly principal and interest (P&I) payment date. The date is the initial
calculation date when the initial calculation date is the issue date or P&I payment date. Whenthe initial calculation date is not either of these dates, the date is the P&I payment date
immediately previous to the initial calculation date (provided that when the initial calculation
date falls before the first P&I payment date, the issue date is used).
a: The number of months that have elapsed since the base monthly P&I payment date (a =1,2,3,Λ)S a : the “ath” P&I payment date following the base monthly P&I payment date.
CPR a : The expected CPR for P&I payment date “S a ”
SMM a : The expected SMM for P&I payment date “S a ”
AF 0 : The actual factor 17 for a JHF MBS on the base monthly P&I payment date “S 0 ”
SF 0 : The individual figures of the Scheduled Factor corresponding to the base monthly P&I
payment date “S 0 ” (provided, however, that if there is no latest Scheduled Factor equivalent
to “SF 0 ,” SF 0 = AF 0 ) 18 among the latest publicly announced JHF scheduled factors (the mostrecent of either the Initial Scheduled Factor announced at time of issue or the Rescheduled
Factor announced periodically after issue).
SF a : The individual figures of the Scheduled Factor corresponding to the P&I payment date
“S a ” among the latest publicly announced JHF scheduled factors (the most recent of either
the Initial Scheduled Factor announced at time of issue or the Rescheduled Factor
announced periodically after issue).
EF a : The expected factor corresponding to the P&I payment date “S a ” 19
OF: Original face value
CF 0 : The current face value balance of the base monthly P&I payment date “S 0 ”
ECF a : Expected current face value balance corresponding to the P&I payment date “S a ” 20
EP a : Expected principal payment amount after considering prepayments corresponding to
the P&I payment date “S a .” 21
C: Coupon rate on JHF MBS
AI 1 : Actual interest amount corresponding to the P&I payment date “S 1 ” 22
EI a : Expected interest amount corresponding to the P&I payment date “S a .” 23 (a≧ 2)

17

AF: Actual Factor
SF: Scheduled Factor
19
EF: Expected Factor
20
ECF: Expected Current Face
21
EP: Expected Principal
22
AI: Actual Interest
23
EI: Expected Interest18

14

(1) Calculation of SMM based on expected CPR
First, using (Formula 2-2-3), the expected SMM for the next month iscalculated using the expected CPR for the next month.

CPR1 
 × 100
SMM 1 (%) = 1 − 12 1 −

100



(Formula 2-3-4)

For example, if the expected CPR for the next month was 6%, the expected
SMM for the next month would be calculated in the following way.
Expected SMM(%) corresponding to expected CPR6%6 
 × 100 = 0.5143(%)= 1 − 12 1 −100 
(Formula 2-3-4’)(2) Important assumptions in deriving MBS cash flows
Here, we will explain important assumptions that are prerequisites to deriving
expected cash flows for MBS.
When a prepayment occurs in the mortgage pool (entrusted mortgages)
securing the MBS, it is expected to have an impact on the principal balanceschedule (Scheduled Factor) based on the initial scheduled repayments dueto the reduction of principal resulting from the full advance repayment or
partial advance repayment of the individual loans (the same effect occurs withloan replacement).
However, keeping track of the changes in the principal balance schedule ofindividual loans in a entrusted mortgage pool of multiple loans is impossible inpractical terms. Therefore, the following assumptions are generally maderegarding the method of describing future principal cash flows (principal
payment amounts) taking into consideration prepayments from the entrusted
mortgage pool.
Assumptions• Entrusted mortgage pool comprise innumerable, small mortgages with cash
flows based on the same Scheduled Factor. 24• All of the debtors of the mortgages belonging to the entrusted mortgage pool
will only choose to make full or partial (payment-reduction type) advance
repayments on principal (there will be no changes in schedule from termreduction type partial advance repayments or other reasons). 25

24

In fact, the principal amounts and scheduled repayments of individual mortgages in themortgage pool vary, but this assumption is made for the sake of simplifying the calculation.
25
In fact, debtors often choose to make term-reduction type partial repayments, but thisassumption is made for the sake of simplifying the calculation.

15

Premised on these assumptions, principal balance without considering
prepayment at the next P&I payment date can be calculated from the principalbalance at the base point and Scheduled Factor at the next P&I payment date.
Reducing this amount by the proportion taking into consideration the expected
prepayment to be applied on the next P&I payment date 1 − Expected SMM  ,


100



gives the expected principal balance (ECF balance) for the next P&I payment
date.
When the figure for the Actual or Expected Factor differs from that of thepreviously announced Scheduled Factor for said month, based on thepreviously mentioned assumptions, the fact that the ratio of the Scheduled
Factors of the base month and the next month will be the same as the ratio of
the Actual or Expected Factor for the base month and the Scheduled Factor
for the next month that has been adjusted for the previous month’s Actual or
Expected Factor can be used to calculate the adjusted Scheduled Factor forthe next month.
By repeating the process for all following P&I payment dates, the expectedprincipal balances for each future P&I payment date can be calculated.
By describing the expected principal balances for each P&I payment date in atime series, the reduction in the outstanding principal balance from theprevious P&I payment date can be calculated for each P&I payment date andused to describe principal cash flow taking into consideration prepayments.
The detail process is introduced below.
(3) Calculating the Expected Principal Balance
Now, based on the thinking above in (2), in order to determine the expectedprincipal balance (ECF), we first apply the expected SMM for the next month,
the Actual Factor of the base month, the Scheduled Factor of the base monthand the next month to determine the Expected Factor for the next month.
EF1 = AF0 ×

SF1  SMM 1 × 1 −

100 
SF0 

(Formula 2-3-5)* The following calculation method is used to determine the Expected Factor for thesecond month ahead using the Expected Factor for the first month ahead and the
Expected SMM of the second month ahead.

EF2 = EF1 ×

SF2  SMM 2 × 1 −

100 
SF1 

(Formula 2-3-6)

Next, according to (Formula 2-3-3), the expected principal balance for the
next month can be determined by multiplying the initial face value balance ofthe MBS by the Expected Factor for the next month calculated above.
ECF1 = OF × EF1(Formula 2-3-7)* When calculating the expected principal balance for two months ahead, the following
formula is used.

ECF2 = OF × EF2(Formula 2-3-8)

16

(4) Calculating Expected Cash Flows
In addition, by multiplying the initial face value balance by the difference
between the Actual Factor of the base month and the Expected Factor of thenext month (the same as subtracting the expected face value balance for the
next month from the Current Face Value balance of the base month), theExpected Principal Prepayment Amount for the next month can be determined.
EP1 = OF × ( AF0 − EF1 )(Formula 2-3-9)* When calculating the Expected Principal Prepayment Amount for two months ahead,
the following formula is used.

EP2 = OF × (EF1 − EF2 )(Formula 2-3-10)

Finally, using the Current Face Value Balance for the base month as a base,
you can determine the interest payment amount for the next month (Since theCurrent Face Value for the base month is decided, the next month’s interest
payment is a fixed figure).
AI 1 = OF × AF0 × C × 1 / 12

(Formula 2-3-11)* Only in the case of the first interest payment date, the “1/12” in the above formula is the“actual number of days from the issue date to the first interest payment date (Counting only
one of start date or end date)/365”.
* When determining the Expected Interest Payment amount for two months ahead, theformula becomes the following (the Current Face Value for the next month is an expected
figure, therefore, so is the interest rate amount for two months ahead).

EI 2 = OF × EF1 × C × 1 / 12

(Formula 2-3-12)

In this manner, following (Formula 2-3-5), (Formula 2-3-6), (Formula 2-3-7),
and (Formula 2-3-8), the monthly Expected Factor and the Expected Current
Face Value balance can be successively determined using the monthly
Scheduled Factor. By using (Formula 2-3-9) and (Formula 2-3-10) to calculatemonthly expected principal payment amounts and (Formula 2-3-11), and(Formula 2-3-12) to calculate monthly expected interest payment amounts,
the expected cash flows can be derived using the Expected CPR for JHF
MBS.
An actual example of the time series of the above process is shown in (Chart
2-3-2), while examples of the actual calculations are shown in (Chart 2-3-3)
and in (Chart 2-3-4).

17

(Chart 2-3-2) Process for Deriving JHF MBS Cash Flows Using ExpectedCPR
P&I Date

Expected
CPR

S0

－

S1

CPR1

S2

CPR2

S3

CPR3

・・・

・・・

Sa

CPRa

Expected SMM

Expected Factor－

AF0 (Actual)
CPR1 
 × 100
SMM 1 (%) = 1 − 12 1 −100 

CPR2 
 × 100
SMM 2 (%) = 1 − 12 1 −100 

CPR3 
 × 100
SMM 3 (%) = 1 − 12 1 −100 

・・・CPRa 
 × 100
SMM a (%) = 1 − 12 1 −100 


EF1 = AF0 ×

SF1  SMM 1  *× 1 −

100 
SF0 

EF2 = EF1 ×

SF2  SMM 2  *× 1 −

SF1 
100 

EF3 = EF2 ×

SF3  SMM 3  *× 1 −

100 
SF2 
・・・

EFa = EFa −1 ×SFa  SMM a  *× 1 −
100 SFa −1 * The formula for determining the Expected Factor does not take into consideration the 10%
Clean Up Call 26 attached to JHF MBS. When expressing expected cash flows taking into
consideration the 10% Clean Up Call, it must be replaced with the following formula.

EFa = EFa −1 ×SFa  SMM a × 1 −
100 SFa −1 

EFa = 0(EFa −1 > 0.1)

(Formula 2-3-13)(EFa −1 ≦ 0.1)

Expected Current Face

Expected Principal
Payment Amount

S0

Value Balance
CF0 (Actual)

S1

ECF1 = OF × EF1

S2

ECF2 = OF × EF2

S3

ECF3 = OF × EF3

EP3 = OF × (EF2 − EF3 )EI 2 = OF × EF1 × C × 1 / 12
EI 3 = OF × EF2 × C ×1 / 12

・・・
Sa

・・・
ECFa = OF × EFa

・・・
EPa = OF × (EFa −1 − EFa )・・・
EI a = OF × EFa −1 × C ×1 / 12

P&I Date－
EP1 = OF × ( AF0 − EF1 )EP2 = OF × (EF1 − EF2 )Expected Interest Amount－*AI 1 = OF × AF0 × C × 1 / 12 (Actual)* When “ S 0 ” is the issue date, “1/12”is replaced with the actual number of days from the issue
date to the first interest payment date (Counting only one of start date or end date)/365.

26

When the outstanding balance of a JHF MBS falls below 10% of the issue amount, as theissuer, JHF has the right to make an early redemption in the full amount (10% Clean Up Call).
JHF can exercise this right as of the P&I payment date following the P&I payment date on
which the Current Face Value Balance of the JHF MBS falls to 10% or less of the Initial Face
Value Amount (Factor falls to 0.1 or less)18

(Chart 2-3-3) Actual example of derivation of cash flows for No. 39 GHLC
MBS (1.84% coupon rate; February 8, 2006 issue date; March 10, 2006 initial
P&I payment date; ¥1 billion initial face value amount). Does not take into
consideration the 10% Clean Up Call and uses a LTCPR of 5.5% as the
Expected CPR. (March 20, 2006 initial calculation date)* The above calculations have not adjusted for fractions and interest payments falling on
holidays have not been taken into account.

19

(Chart 2-3-4) Actual example of derivation of cash flows for No. 39 GHLC
MBS (1.84% coupon rate; February 8, 2006 issue date; March 10, 2006 initial
P&I payment date; ¥1 billion initial face value amount). Takes into
consideration the 10% Clean Up Call and uses a LTCPR of 5.5% as the
Expected CPR. (March 20, 2006 initial calculation date)* The above calculations have not adjusted for fractions and interest payments falling on
holidays have not been taken into account.

20

Chapter 3 PSJ Model—Standard ModelIn this chapter, we cover the development concept, definitions, and method ofuse for the PSJ model (standard model) created by the JSDA.
Section 1 The Development Concept of the Standard Model
While the use of the standard model is not necessarily limited to JHF MBS,the continuous growth in issuance by the JHS MBS suggests it will become acentral product in Japan’s MBS market. In addition, given that at this point intime the data provided by JHF is the only data on mortgage loans
prepayments that is available to all market participants, the working groupdecided that it was appropriate to create a standard model with the basic formof the speed of prepayments determined using data made public by JHF
because market participants would agree with this method.
The standard model was developed for the purpose of providing a common
measure for market participants to be used for determining expected cash
flows (premised on expected CPR) of JHF MBS. For the measure to beshared by market participants, the working group decided that its form mustbe simple (few parameters)—not complicated. Therefore, in deciding the formof the model, the working group used as reference the PSA model introduced
to the MBS market in the United States for the same reasons and aging
factors (changes in the CPR over the duration of loans), etc., that could beobserved from the historical data on prepayment provided by JHF.
Discussion about the form of the standard model in the working group during
the process of deciding its form focused on the following three points.
(1) The CPR at zero months (Initial CPR)
(2) The number of months until the CPR became fixed (number of seasoning
months)(3) The level at which the CPR became fixed (flat CPR) 27
If the above points (1) to (3) were variable for the standard model, premisedon use with JHF MBS, it would increase the number of parameters of themodel, possibly creating a barrier to its practical use (sharing among market
participants or calculation of statistical figures etc.). In consideration of thatpoint, the working group decided to use predetermined (1) initial CPR and (2)seasoning months, giving priority to improving the ease of use of the model byutilizing only the vertical movement of the flat CPR to express the speed ofprepayments.

27

It was decided that introducing burnout would not work well with the PSJ model because astandard form would not be possible since the impact of burnout depends on the path interest
rates take. Burnout is a phenomenon where even if interest rates fall providing an incentive
for greater prepayments, the CPR does not rise and may fall. One example of thisphenomenon is when a mortgage pool that has already experienced a rise in CPR following a
reduction in interest rates in the past resists increases in its CPR when experiencing new
declines in interest rates.

21

Details are as follows:
Form of Standard Model(1) Although the historical data on prepayments provided by JHF suggests a
certain initial CPR could be determined, giving priority to setting a speed of
payment that is easy to use, the initial CPR has been set at 0%.
(2) The number of seasoning months lies between five to six years according
to the historical data. As a result, 5 years (60 months) has been chosen as around and easy-to-understand number.
(3) As a variable number, the flat CPR as 100% has not been set as in the
U.S. PSA model, but allowed to express prepayment rate based on the point
at which the CPR becomes level on a graph.

22

Section 2 Definitions
1. Name of model and overview of functional form
The standard model shall be generally known as the “PSJ model.”The functional form sets a CPR of 0% for an MBS issue (or mortgage pool) in
the loan origination month (WALA is 0 months). After initiation, the CPR rises
a fixed ratio monthly, reaching a CPR of r% after 60 months, after which the
CPR follows a fixed path at r%. This form is termed “r%PSJ.”
The actual method of expression of the speed of prepayment would be, forexample if the flat CPR was 8%, “8%PSJ.”
2. Formula definitions
As previously mentioned, the PSJ model has an initial CPR of 0% and aseasoning period of 60 months. Therefore, if the r%PSJ has a CPR at an age(WALA) of m months (CPR m ), it can be expressed as the following formula.

 r
CPRm (%) = min × m, r  60(r ≧ 0)(Formula 3-2-1)

Conversely, based on the PSJ model (Standard Model), the value PSJm(%) that gives the instantaneous velocity for the Actual CPR (R%) when
WALA is m months can be expressed as follows.

(m ≦ 60)(m > 60)

PSJ m (%) = R / m × 60

PSJ m (%) = R(Formula 3-2-2)* For the age in months (WALA), m, we use the WALA at the point of the monthly payment
collection on the mortgage pool underlying the MBS. With JHF MBS, the WALA is listed in
the Entrusted Candidate Mortgages Related Data and the Entrusted Mortgages Related
Data from the point of issue starting with the issue priced in February 2006 (GHLC Monthly
MBS No. 40). In addition, beginning with the publicly reported portion in February 2006, theupdated WALA is listed in the Factors and Other Monthly Data. This means that in future,
the monthly WALA figures used are one month greater than the publicly announced
updated WALA for the application month.

23

(Chart 3-2-1) PSJ Model (Standard Model)
標準モデルのCPRパス
CPR
Path of Standard Model
13%12%12%PSJ

11%
10%
9%

（CPR）

8%
7%
6%
6%PSJ

5%
4%
3%

3%PSJ

2%
1%
0%
0

60

120

180

240

300

360

420

WALA (months)（WALA（加重平均経過月数））

 Case of 12%PSJ
CPR0% at 0 months WALA (weighted average loan age)
→ CRP later rises at the same rate per month to reach 12% at 60 months→ CPR remains flat at 12% from 60 months onward
 Case of 6%PSJ
CPR0% at 0 months WALA
→ CRP later rises at the same rate per month to reach 6% at 60 months→ CPR remains flat at 6% from 60 months onward
 Case of 3%PSJ
CPR0% at 0 months WALA
→ CRP later rises at the same rate per month to reach 3% at 60 months→ CPR remains flat at 3% from 60 months onward

24Section 3 Process of Producing Cash Flows for JHF MBS using the Standard
Model
In this section, we introduce the method of producing cash flows using the
PSJ model (standard model) introduced in the previous section based on theinformation on the entrusted mortgage pool provided by JHF.
Fundamentally, as was explained in Section 3, 4. of the previous chapter(chapter 2), the usual method for deriving expected cash flows for a JHF MBS
using the expected CPR is to reduce the Expected Principal Balance nottaking prepayments into account for each month by the reduction factor after
considering the expected prepayment rate 1 − Expected SMM  and take the


100



difference between the previous month’s balance and the current month’sbalance to be the principal cash flow (principal payment amount) after taking
into account prepayments.
Here, we will discuss the readjustment of JHF MBS cash flow production
process and calculation method for Weighted Average Life (WAL) premisedon use of the PSJ model (standard model).
1. Information associated with entrusted mortgages provided by JHF
To begin with, let us confirm the data that can be accessed when deriving
future cash flows for a JHF MBS.
As related materials, there is a variety of data available on the Scheduled
Factor on issuance of JHF MBS. In addition, starting with the GHLC Monthly
MBS No. 40 issue, the weighted average loan age (WALA) based on the loan
agreements—very important for the PSJ model—is now available. 28
At the point of producing this guidebook, even after the issue of a JHF MBS,JHF is continuing to provide the following information in its Factors and Other
Monthly Data on the web site.

28

For the first to the 39th GHLC MBS issues and the first five S-series MBS issues, thedefinition for the weighted average period was “the difference between the Initial loan period
and the remaining period weighted by the remaining balance of each loan,” which is different
from the WALA used by the PSJ model. In order to use the PSJ model with these issues, it isnecessary to apply the WALA reported publicly in Factors and Other Monthly Data. On theother hand, for other issues, the most recent of the WALA given in the Entrusted Mortgage
Related Data made public on issuance or the WALA given in the Factors and Other Monthly
Data is used.

25

(Table 3-3-1) Factors and Other Monthly Data
Initial Scheduled Factor

Ratio of each GHLC MBS and JHF MBS on balance scheduled at issuance(calculated based on ratio in the principal balance of underlying mortgages
by assuming no prepayment, replacement, nor change in the loan repayment
method).
More specifically, the ratio is quoted in eight decimals as a result of rounding
it off to five decimal places. The issuance amount is assumed to be 1 in thecalculation.

Factor (Actual)

Ratio of each GHLC MBS and JHF MBS in terms of actual outstandingbalance at each month after monthly repayment (or expected monthly
repayment officially announced)

Weighted Average Coupon or

Average coupon rate of underlying mortgage pool backing each GHLC MBS

WAC (%)and JHF MBS as weighted by the balance of each loan
WAC = Σ [coupon rate x loan balance] / Σ loan balance

Weighted Average Maturity or

Average years to maturity of underlying mortgage pool backing each GHLC

WAM (years)

MBS and JHF MBS as weighted by the balance of each loan
WAM = Σ [years to maturity x loan balance] / Σ loan balance

Conditional Prepayment Rate

Annualized prepayment rate of each monthor CPR (%)

CPR = 1 - (1 - prepayment amount for each month / loan balance net ofscheduled loan principal collection amount for the month) 12

Rescheduled Factor

Ratio of each GHLC MBS and JHF MBS on balance scheduled after theactual loan collection by then ( replacement or partial cancellation)(calculated
based on ratio in the principal balance of underlying mortgages by assuming
no prepayment , replacement , nor change in the loan repayment method)

Weighted Average Loan Age

Average loan age for the underlying mortgage pool backing each GHLC MBS

or WALA (months)

and JHF MBS as weighted by the balance of each loan

Replacement or Partial

Balance of new replaced or partially cancelled loans net of claims in arrears

Cancellation Rate (long-termat end of period (loans that are four months in arrears) / balance of loans net

delinquency,%)of claims in arrears at end of period (monthly rate)

Replacement or Partial

Balance of new replaced or partially cancelled loans net of claims in arrears

Cancellation Rate (other thanat end of period (other than loans that are four months in arrears) / balancelong-term delinquency,%)of loans net of claims in arrears at end of period (monthly rate)(Source: JHF web site http://www.jhf.go.jp/english/mbs_m_f_monthly.html)

26

2. Process of producing cash flows using the PSJ model (standard model)
Using the data introduced in 1. above, we will show the calculation method for
future cash flows of JHF MBS taking into account prepayments (using PSJ
model). First, since the explanation will use equations, we have first put
together a list of the definitions of the notations used in the following section(Please see Table 3-3-2).
(Table 3-3-2) Definitions Used in this Section
S 0 : The base monthly principal and interest (P&I) date. The date is the initial calculation datewhen the initial calculation date is the issue date or P&I payment date. When the initial
calculation date is not either of these dates, the date is payment the P&I payment date
immediately previous to the initial calculation date.(provided that when the initial calculation
date falls before the first P&I payment date, the issue date is used).
a: The number of months that have elapsed since the base monthly P&I payment date (a =1,2,3…)
S a : the “ath” P&I payment date following the base monthly P&I payment date.
L a : The period from the calculation date to the P&I payment date.
M: The WALA for the base monthly P&I payment date “S 0 ” (noted in 1. above)
CPR a : The expected CPR for P&I payment date “S a ”
SMM a : The expected SMM for P&I payment date “S a ”
AF 0 : The actual factor for a JHF MBS on the base monthly P&I payment date “S 0 .”SF 0 : The individual figures of the Scheduled Factor corresponding to the base monthly P&I
payment date “S 0 ” (provided, however, that if there is no latest Scheduled Factor equivalent
to “SF 0 ,” SF 0 = AF 0 ) among the latest publicly announced JHF scheduled factors (the mostrecent of either the Initial Scheduled Factor announced at time of issue or the Rescheduled
Factor announced periodically after issue).
SF a : The individual figures of the Scheduled Factor corresponding to the P&I payment date
“S a ” among the latest publicly announced JHF scheduled factors (the most recent of either
the Initial Scheduled Factor announced at time of issue or the Rescheduled Factor
announced periodically after issue).
EF a : The expected factor corresponding to the P&I payment date “S a ”
OF: Original face value
CF 0 : The current face value balance of the base monthly P&I payment date “S 0 ”
ECF a : Expected current face value balance corresponding to the P&I payment date “S a ”
EP a : Expected principal payment amount after considering prepayments corresponding to the
P&I payment date “S a .”C: Coupon rate on JHF MBS
AI 1 : Actual Interest amount corresponding to the P&I payment date “S 1 ”
EI a : Expected interest amount corresponding to the P&I payment date “S a ” (a≧ 2)

27

(1) Calculation of WALA
In order to describe cash flows using the PSJ model, the first step is to decide
the WALA for the future principal and interest (P&I) payment dates of the JHF
MBS.
As stated in the definitions above, if the Base Monthly P&I Payment Date is
the issuance date, the WALA (months) note in the Entrusted Mortgage Pools
Related Data publicly reported at the time of issuance is the WALA “M” for theBase Monthly P&I Payment Date “S 0 ” for the initial calculation date (the“present” or starting point for the calculation of cash flows to be described). If
the Base Monthly P&I Payment Date is some other P&I payment date after
the issuance date, the WALA (months) for said P&I payment date listed in
Factors and Other Monthly Data is used.
Moreover, as the WALA for the next P&I payment date “S 1 ” after the BaseMonthly P&I Payment Date “S 0 ” is “M+1” and M+2 for “S 2 ” and so on, theWALA for the P&I payment date "S a "(the ath P&I payment date from the BaseMonthly P&I payment date) will be "M + a" .
(Table 3-3-3) An example of the calculation of WALA (The shaded portion of
Column H in the following table gives the calculated WALA figures) for future
P&I payment dates when the Base Monthly P&I Payment Date is March 2006

(2) The calculation of the respective CPR for each WALA
Next, we will explain how to describe the expected CPR for each month using
the PSJ model (standard model) based on the WALA for each future P&I
payment date as determined in the above table. For example, in determining
the expected CPR from the PSJ model given the WALA figures determined
above, for r%PSJ, the CPR a (%) and SMM a (%) for WALA “M+α” would bedetermined as follows.

 rCPRa (%) = min × (M + a ), r  60(Formula 3-3-1)

CPRa 
 × 100
SMM a (%) = 1 − 12 1 −
100 
(Formula 3-3-2)

28

(3) Calculating JHF MBS cash flows reflecting CPRs based on the PSJ model
When the expected CPRs for each P&I payment date have been determined
as noted in (2) according to the expected PSJ speed (r%PSJ), the process of
producing cash flows is the same as from Section 3, 4. (3) onward in Chapter
2.
An example of the time series of the cash flow calculation process is shown in(Chart 3-3-4), while examples of the actual calculations are shown in (Chart 33-5) and in (Chart 3-3-6).

29

(Chart 3-3-4) Calculation Process for JHF MBS Cash Flows Using Expected
PSJ Speed (r%PSJ)
P&I Date
S0

WALA

Expected CPR

Expected SMM

M

－

－

S1

M +1

 r

CPR1 (%) = min × (M + 1), r 
60



S2

M +2

 r

CPR2 (%) = min × (M + 2 ), r 
 60


S3

M +3


 r
CPR3 (%) = min × (M + 3), r 

 60


CPR1 
 × 100
SMM 1 (%) = 1 − 12 1 −100 

CPR2 
 × 100
SMM 2 (%) = 1 − 12 1 −100 

CPR3 
 × 100
SMM 3 (%) = 1 − 12 1 −100 


・・・

Sa

P&I Date
S0

・・・

 r

CPR a (%) = min × (M + a ), r 
 60


M +a

Expected Factor
AF0 (Actual)・・・
CPRa 
 × 100
SMM a (%) = 1 − 12 1 −100 

Expected Current Face Value Balance
CF0 (Actual)

S1

EF1 = AF0 ×

SF1  SMM 1  *× 1 −

SF0 
100 

ECF1 = OF × EF1

S2

EF2 = EF1 ×

SF2  SMM 2  *× 1 −

SF1 
100 

ECF2 = OF × EF2

S3

EF3 = EF2 ×

SF3  SMM 3  *× 1 −

SF2 
100 

ECF3 = OF × EF3

・・・

Sa

・・・
SFa  SMM a  *× 1 −
EFa = EFa −1 ×
100 
SFa −1 ・・・

ECFa = OF × EFa* When expressing expected cash flows taking into consideration the 10% Clean Up Call, theformula must be replaced with that in (formula 2-3-13).

P&I Date

S0
S1
S2

Expected Principal Payment

Expected Interest AmountAmount－EP1 = OF × ( AF0 − EF1 )－*AI 1 = OF × AF0 × C × 1 / 12 (Definite value)

EP2 = OF × (EF1 − EF2 )S3

EP3 = OF × (EF2 − EF3 )

・・・
Sa

・・・
EPa = OF × (EFa −1 − EFa )EI 2 = OF × EF1 × C × 1 / 12
EI 3 = OF × EF2 × C ×1 / 12・・・
EI a = OF × EFa −1 × C ×1 / 12

* When “ S 0 ” is the issue date, “1/12”is replaced with the actual number of days from the issue
date to the first interest payment date (Counting only one of start date or end date)/365.

30

(Chart 3-3-5) Actual example of derivation of cash flows for No. 39 GHLC
MBS (1.84% coupon rate; February 8, 2006 issue date; March 10, 2006 initial
P&I payment date; ¥1 billion initial face value amount). Does not take into
consideration the 10% Clean Up Call and uses an expected PSJ speed(7.0%PSJ). (March 20, 2006 initial calculation date)* The above calculations have not adjusted for fractions and interest payments falling on
holidays have not been taken into account.

Since the (expected) WAL of the JHF MBS based on the principal cash flow
(expected principal payment amounts) is the timing (WAL of each P&I
payment date from the calculation date to the repayment of principal) arisingfrom principal payments on each P&I date weighted by the principal payment
amounts on each P&I date, it is calculated using the following formula.

WAL(years) =(EP1 × L1)+ (EP2 × L2 )+ ...+ (EPa × La )+ ... (Formula 3-3-3)
OF × AF0

In the case of (Chart 3-3-5) (Initial calculation date: March 20, 2006), WAL =10.46 years.

31

(Chart 3-3-6) Actual example of derivation of cash flows done for No. 39
GHLC MBS (1.84% coupon rate; February 8, 2006 issue date; March 10,2006 initial P&I payment date; ¥1 billion initial face value amount). Takes into
consideration the 10% Clean Up Call and uses an expected PSJ speed(7.0%PSJ). (March 20, 2006 initial calculation date)* The above calculations have not adjusted for fractions and interest payments falling on
holidays have not been taken into account.

When the WAL is calculated using (Formula 3-3-3) based on the example of(Chart 3-3-6), WAL = 9.99 years, demonstrating that taking the 10% Clean Up
Call into account reduces the WAL.

32

Section 4 Example of Application for Risk Management
In this chapter, we explain one example of methods of using the PSJ model tomanage risk on JHF MBS.
However, we caution readers that the following explanation is just one
example of risk management approaches for reference purposes and JSDA
and the WG do not consider it the best method of risk management. We
encourage each investor to take responsibility for determining their own
method of risk management for JHF MBS.
1. Application of PSJ statistical calculation figures
Along with the introduction of the PSJ model, JSDA has begun:(1) reporting PSJ calculations by major broker/dealers (In addition to the
PSJ calculation figures premised on the current interest rate environment,
the PSJ calculation figures for shifts of 50bp, 100bp, 200bp, and 300bp
above and below the market interest rate (yield curve) are reported) and(2) calculating statistical values (median, average, etc.) for the PSJ
calculation figures received from broker/dealers and publicly announcingthem.
The publicly reported PSJ Calculation Statistical Values 29 are expected to, toa certain extent, remove or average out the differences and individual
characteristics of the prepayment models used by each company.
Based on that assumption, JHF MBS have the following special
characteristics, based on which it is anticipated that it will be possible toevaluate the sensitivity of JHF MBS prices to market rates while reflecting
these and other characteristics under certain assumptions.
(a) Call risk (increased prepayments or shortening of weighted average life
when interest rates are falling)(b) Extension risk (decreased prepayments or lengthening of weighted
average life when interest rates are rising)(c) Negative convexity (feature of average life and duration shortening wheninterest rates are falling, preventing prices from rising, and average life andduration lengthening when interest rates are rising, accelerating pricedeclines) arising from the effect of (a) and (b) on price changes.
2. Example of calculation of expected JHF MBS prices for yield curvechanges
For example, as shown below, when predicting changes in PSJ values basedon level changes in the yield curve, the first step is to use the following type ofprocess to calculate the expected price of a JHF MBS when the level of theyield curve changes.
29

For details on the system for reporting PSJ calculation statistical values, please see
Appendix 1; for a view the reporting format, please see Appendix 2.

33

(Table 3-4-1) Expected PSJ Values and JHF MBS Prices for Level Changes(±α%) in Yield Curve
Yield Curve Level
Change 30
Expected PSJ value
Expected cash flow
Present value of expectedcash flow
JHF MBS accrued interest
Expected price of JHF
MBS

−α%

±0%(No Change)+α%

PSJ −αPSJ 0

PSJ +α{CF−α(i )}iN=1{CF0 (i )}iN=1{CF+α(i )}iN=1

PV0

PV+α

ac

ac

P0 (= PV0 − ac )P+α(= PV+α − ac )

PV−α

ac

31

32

P−α(= PV−α − ac )α % ：Absolute figure indicating degree of change in level of yield curve.
{CF0 (i )}iN=1 ：The expected cash flow of the JHF MBS for all P&I payment

dates when the yield curve does not change ( CF0 (i ) is the
expected cash flow for the i th P&I payment date after the initial
calculation date. {CF0 (i )}iN=1 is the expected cash flows from the「 CF0 (1) 、 CF0 (2) 、 CF0 (3) 、・・・ CF0 (N ) 」 series of each P&I
payment date. N is the last P&I payment date after the initial
calculation date).
{CF−α(i )}iN=1 ： Expected cash flow of the JHF MBS for all P&I payment dates
when the yield curve level shifts − α % .
N：{CF+α(i )}i=1 Expected cash flow of the JHF MBS for all P&I payment dates
when the yield curve level shifts + α % .
(1) The expected cash flow for the JHF MBS for the current yield
curve {CF0 (i )}iN=1 is derived from the expected PSJ value, PSJ 0 , for thecurrent yield curve (the expected PSJ value when there is no yield curvechange).
(2) The spread ( Spd ) to the benchmark interest rate for the JHF MBS is
derived using the cash flow {CF0 (i )}iN=1 derived in (1), the JHF MBS market
price P0 (and the present value PV0 of {CF0 (i )}iN=1 derived using P0 ) and thecurrent yield curve. 33

30

Deleted
PV: Present Value
32
Accrued Interest
33
When the market price for the JHF MBS is available, there are two typical methods ofdetermining the spread on the JHF MBS benchmark interest rate from the expected cash
flows for the JHF MBS and the yield curve. They are 1) to determine the IRR from the market
value and expected cash flows, and then define the difference between the IRR and themarket rate for the specific term of the WAL of the JHF MBS (=benchmark rate) as the spreadfor the JHF MBS or 2) to determine an interest rate spread for a yield curve that equalizes themarket value and the value of the present value of the JHF MBS derived from the expectedcash flows for each P&I payment date and the discount factor for each P&I payment date lessaccrued interest and define the difference between the yield curve and the overall yield curve(benchmark rate) as the spread. (Please note that the implication of the spread will change
depending on the benchmark rate chosen).
31

34

(3) The expected cash flows for each change in the level of the yield
curve {CF−α(i )}iN=1 , {CF+α(i )}iN=1 are derived based on the expected PSJ values
PSJ −α , PSJ +α for ± α % changes in the yield curve.

(4) From the {CF−α(i )}iN=1 、 {CF+α(i )}iN=1 derived in (3), produce yield curves foreach post level change yield curve by adding the Spd given in (2). Using
these yield curves calculate the present values PV−α , PV+α for the expectedcash flows. 34(5) The values give by subtracting the accrued interest ac from the PV−α 、PV+α calculated in (4) are the expected JHF MBS prices P−α , P+α for the± α % degree of level changes in the yield curves.
When calculating the expected price of a JHF MBS after a change in the levelof the yield curve based on the above process using the PSJ calculation
statistical values of the JSDA, it is important to ensure that the assumption of
the change ( ± α % ) in the yield curve does not result in a negative interest rate
(a negative interest rate is deemed to be 0%). In other words, for a − α %change in interest rate level, changes in interest rates less than α % in a yield
curve must not reach − α % .
Also be aware that the expected price in the above calculation example isbased on the assumption that the spread ( Spd ) to the JHF MBS benchmark
rate will not change even if the yield curve changes.
3. Method of calculation of MBS effective duration and effective convexity
Effective duration ( Eff .Dur±α ) and effective convexity ( Eff .Cvx ±α ) indicate thechange in expected cash flows in accordance with the degree of level change( ± α % ) in the market yield curve. They are calculated using the following
formulae.
Eff .Dur±α =Eff .Cvx ±α =PV−α − PV+α2 PV0 × (α/ 100 )PV+α + PV−α − 2 PV0

100 × PV0 × (α/ 100 )(Formula 3-4-1)(Formula 3-4-2)

2

34

When the spread to the JHF MBS benchmark interest rate is available, there are two
typical methods of determining the present value of the expected cash flows from the yield
curve. They are 1) to determine a present value where the interest rate for the specific term of
the WAL of the JHF MBS (=benchmark rate) plus the spread for the JHF MBS will equal the
IRR from the market value and expected cash flows, and then define the difference between
the IRR of the expected cash flows or 2) to determine the present value of the expected cash
flows of a JHF MBS based on the expected cash flows for each P&I payment date and theircorresponding discount factors after calculating the discount factor for each P&I payment datebased on the yield curve consisting of the overall yield curve (=benchmark interest rate) plus
the JHF MBS spread. (Please note that the implication of the spread will change dependingon the benchmark rate chosen).

35

The value of effective duration and effective convexity will fluctuate with theset value for the assumed degree of change ( ± α % ) in the yield curve.
Therefore, when using these values as risk indicators, it is necessary to
determine and confirm the expected degree ( ± α % ) of interest rate change.
4. Example of the calculation of effective duration and effective convexity
For reference, we show below an example of the calculation of the effective
duration and effective convexity for the calculation of the expected price of a
JHF MBS with a degree ( α % = 0.5% ) of change in the yield curve of±50bp(±0.5%). We emphasize that this is only an example, JSDA or theworking group do not recommend that the calculation of risk indicators bebased on a degree of level change of ±50bp.
(Table 3-4-2) Changes in Expected Price Due to Changes in Yield Curve(example)
Yield curve level change
MBS expected price

Eff .Dur±50bp =Eff .Cvx ±50bp =-0.5%
102.090±097.781102.090 − 93.405≈ 8.882 × 97.781 × (0.5 / 100 )93.405 + 102.090 − 2 × 97.781

100 × 97.781 × (0.5 / 100 )

2

36

+0.5%
93.405(Formula 3-4-3)≈ −0.27(Formula 3-4-4)

Chapter 4 PSJ Model—Customized ModelIn this chapter, we cover the development concept, definitions, and method ofuse for the PSJ model (customized model) created by the JSDA.
Section 1 The Development Concept of the Customized Model
The customized model was conceived for use in cases where the standard
model could not adequately express the prepayment speed. The model has
been designed to allow adjustments to fit the attributes of individual pools.
Specifically, the model is expected to be applied when wanting to express the
prepayment speed in a little more advanced form than the standard model orfor securitization deals, etc. for highly individualistic private sector mortgage
loans.
While the customized model is equivalent to the standard model in that, incovering all MBS (or mortgage loan pools), it uses the basic form of the CPR
rising from the loan origination point for a specific number of months (WALA),
from which point on the CPR becomes fixed. However, in the attributes of theeach MBS (or mortgage loan pool) the 1) initial CPR and 2) number ofseasoning months can be adjusted.
It is possible that, when establishing prepayment scenarios for use in pricing
MBS other than JHF MBS at the point of issuance, there will be cases where
it is inappropriate to use the customized model to express expected
prepayment scenarios. The working group has no intention of requiring theuse of the customized model in such cases. When use of the customized
model is inappropriate, we believe that preparing other prepayment scenariosin accordance with the special attributes of individual MBS and using them toanalyze investment value should continue to be allowed.
On the other hand, regarding the form of the prepayment scenarios used toanalyze the investment value of individual MBS other than JHF MBS, eventhough it would only fall within a certain range, we believed that having auniform measure available for use as a market practice would lend such
advantages as avoiding perception disagreements regarding prepayments inindividual transactions, etc. and contributing to smooth discussions ofprepayment scenarios.

37Section 2 Definitions
1. Name of model and overview of functional form
The functional form sets a CPR of i% for MBS (or mortgage pool) in the loan
origination month (WALA is 0 months). After initiation, the CPR rises a fixedratio monthly, reaching a CPR of r% after n months, after which the CPR
follows a fixed path (i%, n months are fixed numbers). This form is termed“r%PSJi-n” and the customized model is known as the “PSJi-n model.”More concretely, a CPR path where the CPR for an MBS issue (or mortgagepool) in the loan origination month (WALA is 0 months) was 2%, after which
the CPR rose a fixed ratio per month until it reached 8% after 40 months,
following which the prepayment rate remained constant at 8% would be
expressed as “8%PSJ2-40” and the customized model would be known as the“PSJ2-40 model.”2. Formula definitions
In the customized model, if the r%PSJi-n has a CPR at an age (WALA) of mmonths (CPR m ), it can be expressed as the following formula.
 (r − i )
× m + i, r 
CPRm (%) = min n (r − i )CPRm (%) = max× m + i, r  n

(r ≧ i )(Formula 4-2-1)(r < i )(Formula 4-2-2)* When expressing the expected prepayment scenarios in the analysis of the prepayments ofMBS, we expect that (Formula 4-2-1) will mainly be used. (Formula 4-2-2) describes thesituation where with an initial point of CPR i% when WALA is 0 months, the CPR drops by afixed ratio monthly until it reaches r% when WALA is n months. While this is a necessary
form under the definitions of the customized model, we expect there is little possibility it will
be actually used to express expected prepayment scenarios for MBS.

Conversely, based on the PSJi-n model, the value PSJi-n (m) that gives theinstantaneous velocity for the Actual CPR (R%) when WALA is m months canbe expressed as follows.

PSJi − n(m )(%) =(R − i ) × n + i (m≦ n )(Formula 4-2-3)(m > n )(Formula 4-2-4)

PSJi − n(m )(%) = Rm* For example, expressing “instantaneous velocity” on a continuous basis for the monthly
Actual CPR of individual MBS after their issue by using the PSJ2-40 model that was used as
the pricing model at the time of origination will require the separate use of (Formula 4-2-3) or(Formula 4-2-4) depending on the WALA for the Actual CPR level. Specifically, if the Actual
CPR at the WALA 10 month point is 3% and the Actual CPR at the WALA 20 month point is0.5%, etc., (Formula 4-2-3) is used, with the former giving an instantaneous velocity of
6%PSJ2-40 and the latter one of -1%PSJ2-40 based on the PSJ2-40 model. However, for
an Actual CPR at the WALA 50 month point of 6%, (Formula 4-2-4) would be used, giving
an instantaneous velocity of 6%PSJ2-40.

38

(Chart 4-2-1) PSJ Model (Customized Model)
CPR Path of Customized Model
カスタマイズド・モデルのCPRパス
13%
12%
12%PSJ2-40

11%
10%
9%

9%PSJ2-40

8%
7%

（CPR）

6%

6%PSJ1-80

5%
4%
3%

3%PSJ1-80

2%
1%
0%
-1% 0

40

80

120

160

200

240

280

320

360

400

-2%
-3%

-3%PSJ1-80-4%

WALA (months)（WALA（加重平均経過月数））

Case of 12%PSJ2-40(Initial CPR2%/seasoning 40 months)
CPR2% at 0 months WALA (weighted average loan age)
→ CRP later rises at the same rate per month to reach 12% at 40 months→ CPR remains flat at 12% from 40 months onward
Case of 9%PSJ2-40(Initial CPR2%/seasoning 40 months)
CPR2% at 0 months WALA
→ CRP later rises at the same rate per month to reach 9% at 40 months→ CPR remains flat at 9% from 40 months onward
Case of 6%PSJ1-80(Initial CPR1%/seasoning 80 months)
CPR1% at 0 months WALA
→ CRP later rises at the same rate per month to reach 6% at 80 months→ CPR remains flat at 6% from 80 months onward
Case of 3%PSJ1-80(Initial CPR1%/seasoning 80 months)
CPR1% at 0 months WALA
→ CRP later rises at the same rate per month to reach 3% at 80 months→ CPR remains flat at 3% from 80 months onward
39

Case of -3%PSJ1-80(Initial CPR1%/seasoning 80 months)
CPR1% at 0 months WALA
→ CRP later falls at the same rate per month to reach -3% at 80 months→ CPR remains flat at -3% from 80 months onward* Please understand that although there is only a small likelihood that a scenario where the
PSJ value is minus would have actual use in predicting MBS prepayments, we have gone to
the trouble of giving an example 1) to clarify the definition of the customized model and 2) tomake clarify the concept that minus values can occur when using the MBS Actual CPR tocalculate back to the instantaneous velocity. For example, with an Actual CPR of 0.5% at a
WALA of 10 months, the PSJ1-80 model will give instantaneous velocity of -3%PSJ1-80.

40Section 3 Process of Producing Cash Flows for JHF MBS using theCustomized ModelIn this section, we introduce the method of producing cash flows using thecustomized model based on the information on the Entrusted mortgage poolprovided by JHF.
Fundamentally, the basic method for deriving expected cash flows using thecustomized model is the same as for the standard model as explained in
Chapter 3, Section 3, 2. The only difference is that as the prepayment modelchanges, the calculation process for the prepayment rate for a WALA
changes with the customized model.
Therefore, in preparation for the following explanation, we first give thedefinitions of the notations used in Chapter 3, Section 3, 2. To avoid overlap
in the explanation, we ask you to, as necessary, refer to the appropriate
portion of Chapter 3, Section 3, 2.
(1) Calculation of WALA
WALA is calculated using the same method as in Chapter 3, Section 3, 2. (1)Calculation of WALA.
(2) The calculation of the respective CPR for each WALA
Next, we will explain how to describe the expected CPR for each month using
the previously mentioned customized model based on the WALA for eachfuture P&I payment date as determined in (1) above. For example, in
determining the expected CPR from the customized model given therelationship with the described WALA formulas, for r%PSJi-n, the CPR a (%)
and SMM a (%) for WALA “M+α” would be determined as follows.
 (r − i )CPRa (%) = min× (M + a ) + i, r  n(Formula 4-3-1)

CPRa 
 × 100
SMM a (%) = 1 − 12 1 −


100



(Formula 4-3-2)(3) Calculating JHF MBS cash flows reflecting CPRs based on the customized
model
From here, like the standard model, the process of producing cash flows is
the same as from Section 3, 4. (3) onward in Chapter 2.
An example of the time series of the cash flow calculation process is shown in(Chart 4-3-1), while examples of the actual calculations are shown in (Chart 43-2) and (Chart 4-3-3).

41

(Chart 4-3-1) Calculation Process for JHF MBS Cash Flows Using Expected
SPJ Speed (r%PSJi-n)* With the exception of expected CPR, all calculations are exactly the same as with thestandard model.
P&I Date
S0

WALA

Expected CPR

Expected SMM

M

－

－

S1

M +1


 (r − i )CPR1 (%) = min× (M + 1) + i, r 

 n

S2

M +2


 (r − i )× (M + 2 ) + i, r 
CPR2 (%) = min

 n

S3

M +3


 (r − i )× (M + 3) + i, r 
CPR3 (%) = minn
CPR1 
 × 100
SMM 1 (%) = 1 − 12 1 −100 

CPR2 
 × 100
SMM 2 (%) = 1 − 12 1 −100 

CPR3 
 × 100
SMM 3 (%) = 1 − 12 1 −100 


・・・

・・・

Sa

 (r − i )CPR (%) = min
× (M + a ) + i, r

P&I Date
S0

M +a

a







n

Expected Factor
AF0 (Actual )・・・CPRa 
 × 100
SMM a (%) = 1 − 12 1 −100 


Expected Current Face Value Balance
CF0 (Actual )S1

EF1 = AF0 ×

SF1  SMM 1  *× 1 −

100 
SF0 

ECF1 = OF × EF1

S2

EF2 = EF1 ×

SF2  SMM 2  *× 1 −

SF1 
100 

ECF2 = OF × EF2

S3

EF3 = EF2 ×

SF3  SMM 3  *× 1 −

SF2 
100 

ECF3 = OF × EF3

・・・

Sa

・・・
SFa  SMM a  *× 1 −
EFa = EFa −1 ×
100 
SFa −1 ・・・

ECFa = OF × EFa* When expressing expected cash flows taking into consideration the 10% Clean Up Call, theformulae must be replaced with those in (formula 2-3-13).

P&I Date

S0
S1

Expected Principal Payment

Expected Interest AmountAmount－EP1 = OF × ( AF0 − EF1 )－*AI 1 = OF × AF0 × C × 1 / 12 (Definite value)

EP2 = OF × (EF1 − EF2 )S3

EP3 = OF × (EF2 − EF3 )EI 2 = OF × EF1 × C × 1 / 12
EI 3 = OF × EF2 × C ×1 / 12

・・・
Sa

・・・
EPa = OF × (EFa −1 − EFa )・・・
EI a = OF × EFa −1 × C ×1 / 12

S2

* When “ S 0 ” is the issue date, “1/12” is replaced with the actual number of days from the issue
date to the first interest payment date (Counting only one of start date or end date)/365.

42

(Chart 4-3-2) Actual example of derivation of cash flows for No. 39 GHLC
MBS (1.84% coupon rate; February 8, 2006 issue date; March 10, 2006 initial
P&I payment date; ¥1 billion initial face value amount). Does not take into
consideration the 10% Clean Up Call and uses an expected speed(6.5%PSJ1-50) based on the PSJ1-50 model. (March 20, 2006 initial
calculation date)* The above calculations have not adjusted for fractions and interest payments falling on
holidays have not been taken into account.

Weighted Average Life (WAL) Calculation (Initial calculation date March 20,2006) using (Formula 3-3-3) gives WAL = 10.41 years.

43

(Chart 4-3-3) Actual example of derivation of cash flows for No. 39
GHLC MBS (1.84% coupon rate; February 8, 2006 issue date; March 10,2006 initial P&I payment date; ¥1 billion initial face value amount). Takes into
consideration the 10% Clean Up Call and uses an expected speed(6.5%PSJ1-50) based on the PSJ1-50 model. (March 20, 2006 initial
calculation date)* The above calculations have not adjusted for fractions and interest payments falling on
holidays have not been taken into account.

Weighted Average Life (WAL) Calculation (Initial calculation date March 20,2006) using (Formula 3-3-3) gives WAL = 9.93 years.

44Afterword to the Japanese Language Version
Generally, bond investment risk arises from the credit risk of the issuer andthe risk of changes in interest rates. The excess return (spread) an investor
receives on a bullet (redemption only on maturity) corporate bond incomparison with a credit risk free government bond can be said to mainly becompensation for assuming the issuer’s credit risk.
While credit risk is minimized in most cases for MBS by using credit
enhancement schemes, they instead present their own unique risk—
prepayment risk. In other words, the excess return (spread) an investor
receives on MBS in comparison with a bullet government bond is mainlycompensation for assuming the prepayment risk.
As a result, it can also be said that MBS are financial instruments that offer adifferent risk-return profile than bullet bonds.
On the other side of the coin, as a product, MBS are more cumbersome todeal with than bullet bonds. MBS require investment value analysis of
uncertain expected cash flows over ultralong periods, administration ofmonthly principal and interest payments, and, in the case of discounts (underpar) or premiums (over par) on purchase costs, special treatment foramortization calculations. 35
Our introduction of the PSJ model and effort to instill it as a market practicehave been aimed at making it easy for many more market participants to
conduct risk-return analysis on MBS by offering a simple method for analyzing
the prepayment rates and cash flows that form the basis for analyzing MBS
investment value.
This work represents the first genuine measure taken regarding MBS by theJapan’s securities industry. Accordingly, we hope that many more market
participants to make use of the analysis methods provided here.

April 24, 2006
JSDA
Working Group on a Japan Version of the PSA Model

35

Please refer to Regarding Revisions of the “Q&A on Accounting for Financial Instruments”(March 25, 2003; Accounting Practice Committee; Japanese Institute of Certified Public
Accountants)

45

Appendix 1
Measures toward the Establishment of an Infrastructure for the MBS Market inJapan
April 24, 2006,
JSDA
I. Purpose
To establish the first necessary infrastructure for the mortgage backed securities(MBS) market, the JSDA is implementing measures to introduce the Prepayment
Standard Japan model (hereinafter referred to as the “PSJ model”) and to promote
the spread of its use in the market. The PSJ model is intended to provide a standard
measure among market participants for MBS prepayment rates.
II. Outline
1. Introduction of Prepayment Standard Japan Model (Item I. in next document)
To provide a framework for a standard measure of MBS prepayment speed formarket participants, two models—the standard model and the customized model—
will be introduced.
(1) Standard Model
This model is designed mainly for use with the Government Housing Loan
Corporation Mortgage-backed Securities that are expected to continue being issued
in large lots with fixed terms and structures.
(2) Customized Model
This model is expected to be used for cases where the standard model does notadequately express the special characteristics of the prepayment speed or for MBS
structured through securitization deals, etc. for highly individualistic mortgage loans.
Consequently, the model has been designed to allow adjustments to fit the attributes
of individual pools.
2. Measures to promote the spread of the use of the PSJ model(1) Announcement of PSJ calculation statistical values (Item II. in next document)
To contribute to the participation of a wide range of market participants in theinvestment value analysis, etc. of MBS, the JSDA will receive reports on PSJ
calculations (values calculated using the PSJ model) on a voluntary basis frombroker/dealers that meet certain conditions. Calculations will be for what can be
described as Japan’s benchmark product in the MBS market, Government Housing
Loan Corporation Mortgage-backed Securities. JSDA will periodically report the
average and median, etc. of these figures as PSJ Calculation Statistical Values.
Details on the individual specific items to be reported on and their frequency will bedecided in a separate document “Collection and Reporting Guidelines for PSJ
Calculation Statistical Values,” with the final decision made after screening throughdiscussions with the broker/dealers participating in the reporting process.
(2) Measures to promote the spread of the use of the PSJ model• Production and listing on JSDA Web site of explanatory materials on PSJ model
definitions and usage (PSJ Model Guidebook)• Listing of materials on PSJ model produced by broker/dealers on the JSDA Web
site• Conducting seminars for investors on the PSJ model• Efforts to get broker/dealers to actively use the PSJ model46

Measures toward the Establishment of an Infrastructure for the MBS Market inJapan
April 24, 2006,
JSDA
I. Introduction of the Prepayment Standard Japan Model
1. Purpose of model introduction
In analyzing the investment value of mortgage backed securities (MBS), it isimportant to be able to project contingent cash flows based on a fixedassumption of the prepayment rate. While a certain portion of market
participants can assess the investment value of an MBS issue on their own
using complex prepayment models created based on their own analysis toestimate cash flows by projecting a prepayment rate, not all market
participants are capable of doing so. Therefore, to pursue the further
development of the MBS market, what is needed is a common metric for
prepayment rates that can be used in practical terms by a much larger
number of market participants to analyze investment value.
To that end, the Japan Securities Dealers Association (hereinafter referred toas the “JSDA”) has created the Prepayment Standard Japan model (PSJ
model). Produced as part of efforts to develop the market infrastructure fromthe perspective of the role the securities industry should play in Japan’s MBS
market, it is meant to serve as a standard measure for the characteristic
prepayments of MBS. It is hoped that the model will be used by a wide rangeof market participants, contributing to the sound development of the MBS
market.
2. Model definitions(1) Standard model
The standard model is designed mainly for the Government Housing Loan
Corporation Mortgage-backed Securities, a product for which issuance is
expected to continue and with fixed structures.
The standard model sets an annualized prepayment rate called aconditional/constant prepayment rate (CPR) of 0% for a mortgage pool with aweighted average loan age (WALA) of 0 months. Following which, the CPR
rises a fixed ratio monthly, reaching a CPR of r% after a WALA of 60 months,
after which the CPR follows a fixed path. This type of CPR path is termed“r%PSJ” (See Chart 1).
CPR of r%PSJ at an age (WALA) of m months (CPR(m) (%)) can becalculated using the following formula.
CPR(m)(％) = min (r / 60 × m, r )(r≧0)・・・(a)47

Conversely, Actual CPR (R%) expressed as Instantaneous Velocity based on
the standard model (PSJ(m) (%)) can be calculated using the following
formulae.
PSJ(m)(％) = R / m × 60 (When m≦60 )・・・(b)PSJ(m)(％) = R (When m＞60 )・・・(c)(2) Customized model
The customized model was introduced with a view to application in cases
where, for some reason, the analyst wants to express the prepayment speedwith something other than the standard model or where the MBS is structured
through securitization deals, etc. for highly individualistic mortgage loans.
Consequently, the model makes it possible to adjust the form of the model forthe attributes of individual pools, allowing for more flexible prepayment
scenarios.
The customized model sets a CPR of i% for a mortgage pool with a weighted
average loan age (WALA) of 0 months. Following which, the CPR rises a fixedratio monthly, reaching a CPR of r% after n months, after which the CPR
follows a fixed path (i%, n months are fixed numbers). This type of CPR pathis termed “r%PSJi-n” (model users can freely set values for i% and n months
according to circumstances) (See Chart 2).
CPR of r%PSJi-n at an age (WALA) of m months (CPR(m) (%))can becalculated using the following formula.
CPR(m)(％) = min((r‐i) / n×m+i, r)
CPR(m)(％) = max((r‐i) / n×m+i, r)(When r≧i )・・・(d)(When r＜i )・・・ (e)When analyzing MBS prepayment rates, we expect that in usual cases that
formula (d) will be used. Formula (e) starts with CPRi% at a WALA of 0months, then declines by a fixed ratio monthly, reaching a CPR of r% at a
WALA of n months, after which the CPR follows a fixed path. Although theform is necessary to the definition of the customized model, we expect thatthe likelihood of its practical use in expressing MBS prepayment scenarios issmall.
Conversely, based on the PSJi-n model, the value PSJi-n (m) that gives theinstantaneous velocity for the Actual CPR (R%) when WALA is m months canbe calculated using the following formulae.
PSJ i-n(m)(％) = (R‐i)/ m×n + i (When m≦n )・・・(f)PSJ i-n(m)(％) = R (When m＞n )・・・(g)* For example, expressing “instantaneous velocity” on a continuous basis for the monthly
Actual CPR of individual MBS after their issue by using the PSJ2-40 model that was usedas the pricing model at the time of origination will require the separate use of formula (f) or
formula (g) depending on the WALA for the Actual CPR level. Specifically, if the Actual CPR
at the WALA 10 month point is 3% and the Actual CPR at the WALA 20 month point is 0.5%,
etc., formula (f) is used, with the former giving an instantaneous velocity of 6%PSJ2-40 and48

the latter one of -1%PSJ2-40 based on the PSJ2-40 model. However, for an Actual CPR at
the WALA 50 month point of 6%, formula (g) would be used, giving an instantaneous
velocity of 6%PSJ2-40.

If JSDA recognizes a notable gap between the form of the PSJ model andactual market conditions due to changes, etc., in economic or financial
conditions in Japan, JSDA will revise the model.
(3) Measures to spread use of the model
JSDA member firms shall make efforts to fully comprehend the purpose andsignificance of the introduction of the PSJ model. When disclosing projectionsof prepayment rates based on their own proprietary analysis to market
participants, member firms shall endeavor to disclose PSJ model converted
figures and make other efforts to spread the use of the PSJ model in the MBS
market in Japan.
II. Reporting PSJ Calculation Statistical Values
1. Purpose
Along with the introduction of the PSJ model, the JSDA’s collection andstatistical processing and announcement of PSJ model converted figures(hereinafter referred to as “PSJ calculations”) of MBS prepayment calculations
by broker/dealers that act as intermediaries in the MBS market should
facilitate discussion and analysis of MBS prepayment rates and thecomparison of market participants. Moreover, the reporting process should
lead to the provision of simpler and highly convenient investment analysis
methods, etc., which should be helpful in popularizing the PSJ model.
Consequently, to provide reference data for the investment value analysis,
etc., of MBS by a wide range of investors, including investors who find it
difficult to independently create their own prepayment models, the JSDA will
receive reports on PSJ calculations (standard model) on a voluntary basis
from broker/dealers that meet certain conditions (hereinafter referred to as“Reporting Members”) for [Loan Claim Collateralized] Government Housing
Loan Corporation Mortgage-backed Securities (hereinafter referred to as“GHLC MBS”), which are expected to continue being issued in large lots with
fixed terms and structures and can be described as Japan’s benchmark
product in the MBS market. JSDA will periodically report the average andmedian, etc. of figures collected as PSJ Calculation Statistical Values.
2. Reporting Members Conditions(1) Comprehend the purpose given in 1. above and have the desire to report
PSJ calculations for all issues of GHLC MBS (including not as yet issued MBS
for which issuing conditions have been decided, the same hereinafter)(2) Be knowledgeable in MBS OTC transactions, etc.
—provided that, for the time being, having a GHLC MBS underwriting recordin the previous fiscal year to the year of reporting participation or having been49

a candidate for lead manager of a GHLC MBS issue in the fiscal year of thereporting participation shall be an additional sufficiency condition.
(3) Have the necessary organization and staff to properly execute PSJ
calculation reporting operations
3. PSJ Calculation Statistical Values reported by the JSDA
The JSDA shall calculate and list the following values based on PSJ
calculations by Reporting Members for GHLC MBS at 3:00 P.M. on the day
before public announcement (if that day is a business holiday then theprevious business day).
(1) Average value of PSJ calculations by Reporting Members(2) Median value of PSJ calculations by Reporting Members(3) Highest value of PSJ calculations by Reporting Members(4) Lowest value of PSJ calculations by Reporting Members(5) Values for (1) and (2) assuming parallel shifts of 50bp, 100bp, 200bp, and300bp above and below the yield curve
4. Reporting method, etc.
JSDA will aim to report the values on its Web site by 4:00 P.M. on the 1st and15th of each month (if that day is a business holiday then the following
business day).
The Reporting Members shall note their company name in the reporting
materials.
5. Operating methods, etc.
The JSDA will produce the “Collection and Reporting Guidelines for PSJ
Calculation Statistical Values” stipulating the following items.
The Reporting Members that comprise the PSJ Calculations Statistics Council
will decide on revisions or eliminations of items stipulated in this guidebook.
(1) Designation standards for Reporting Members(2) Methods, etc., of reporting PSJ Calculation Statistical Values to the JSDA
(3) Types and calculation methods for PSJ Calculation Statistical Values(4) Announcements, etc., of PSJ Calculation Statistical Values
6. Start of reporting
Collecting and reporting will start as soon as the system and Reporting
Members organization are set up.

50

(Chart 1: Standard Model)
標準モデルのCPRパス
CPR
Path of Standard Model
13%12%12%PSJ

11%
10%
9%

（CPR）

8%
7%
6%
6%PSJ

5%
4%
3%

3%PSJ

2%
1%
0%
0

60

120

180

240

300

360

420

WALA (months)（WALA（加重平均経過月数））

Case of 12%PSJ
CPR0% at 0 months WALA (weighted average loan age)
→ CRP later rises at the same rate per month to reach 12% at 60 months→ CPR remains flat at 12% from 60 months onward
Case of 6%PSJ
CPR0% at 0 months WALA
→ CRP later rises at the same rate per month to reach 6% at 60 months→ CPR remains flat at 6% from 60 months onward
Case of 3%PSJ
CPR0% at 0 months WALA
→ CRP later rises at the same rate per month to reach 3% at 60 months→ CPR remains flat at 3% from 60 months onward

51

(Chart 2: Customized Model)
カスタマイズド・モデルのCPRパス
CPR Path of Customized Model
13%12%12%PSJ2-40

11%
10%
9%

9%PSJ2-40

8%
7%

（CPR）

6%

6%PSJ1-80

5%
4%
3%

3%PSJ1-80

2%
1%
0%
-1% 0

40

80

120

160

200

240

280

320

360

400

-2%
-3%

-3%PSJ1-80-4%

WALA (months)（WALA（加重平均経過月数））

Case of 12%PSJ2-40(Initial CPR2%/seasoning 40 months)
CPR2% at 0 months WALA (weighted average loan age)
→ CRP later rises at the same rate per month to reach 12% at 40 months→ CPR remains flat at 12% from 40 months onward
Case of 9%PSJ2-40(Initial CPR2%/seasoning 40 months)
CPR2% at 0 months WALA
→ CRP later rises at the same rate per month to reach 9% at 40 months→ CPR remains flat at 9% from 40 months onward
Case of 6%PSJ1-80(Initial CPR1%/seasoning 80 months)
CPR1% at 0 months WALA
→ CRP later rises at the same rate per month to reach 6% at 80 months→ CPR remains flat at 6% from 80 months onward
Case of 3%PSJ1-80(Initial CPR1%/seasoning 80 months)
CPR1% at 0 months WALA
→ CRP later rises at the same rate per month to reach 3% at 80 months
52

→ CPR remains flat at 3% from 80 months onward
Case of -3%PSJ1-80(Initial CPR1%/seasoning 80 months)
CPR1% at 0 months WALA
→ CRP later falls at the same rate per month to reach -3% at 80 months→ CPR remains flat at -3% from 80 months onward* Please understand that although there is only a small likelihood that a scenario where the
PSJ value is minus would have actual use in predicting MBS prepayments, we have gone to
the trouble of giving an example 1) to clarify the definition of the customized model and 2) tomake clarify the concept that minus values can occur when using the MBS Actual CPR tocalculate back to the instantaneous velocity. For example, with an Actual CPR of 0.5% at a
WALA of 10 months, the PSJ1-80 model will give instantaneous velocity of -3%PSJ1-80.

53Appendix 2
Format for PSJ Calculation Statistical Values Report: Average Values
PSJ Calculation Statistical Values(Average Values)
Announced date/month/year
Loan Claim Collateralized Japan Housing Finance Mortgage-backed Securities/
Loan Claim Collateralized Government Housing Loan Corporation Mortgage-backed Securities
Reporting Member:
Issue
No.

Yield Curve Scenarios-300bp-200bp-100bp

-50bp

0bp

50bp

100bp

200bp

300bp

Low/High (%)
/
/
/
/
/
/
/
/
/
/
/
/
/
/
/
/
/
/
/
/
/
/
/
/
/
/
/
/

1. The PSJ Calculation Statistical Values listed in this document are PSJ model converted figures (hereinafter referred to as“PSJ calculations”) of MBS prepayment calculations reported to the JSDA by financial instrument businesses (securities
companies) that have met certain conditions. The figures are based on prepayment calculations reported as of 3:00 P.M. on
the day before monthly public announcements (the 1st and 15th of each month, if that day is a business holiday then theprevious business day, the same holds hereafter) and have been compiled and statistically processed by the JSDA.
2. The sole purpose of this document is to provide information on MBS PSJ Calculation Statistical Values as of 3:00 P.M. on
the day prior to the announcement day. It does not represent in any way a recommendation or solicitation to invest in thefinancial instruments listed. Investors are encouraged to take responsibility for their final investment decisions.
3. The PSJ Calculation Statistical Values in this document are calculated from PSJ calculations based on economic andfinancial conditions and publicly announced data as of 3:00 P.M. on the day prior to the announcement day. As a result,obviously the PSJ Calculation Statistical Values could differ should the conditions on which the figures are premised change
following the determination of the PSJ calculations by the financial instruments businesses (securities companies).
4. In calculating the PSJ Calculation Statistical Values listed in this document, the JSDA receives reports of PSJ calculations
from financial instrument businesses (securities companies) that have met certain conditions. However, these financial
instrument businesses (securities companies) provide no guarantees to the JSDA that the PSJ calculations are correct orcomplete. Furthermore, the JSDA bears no responsibility for the correctness or completeness of the PSJ Calculation
Statistical Values.
5. The JSDA is not able to respond to enquiries about the PSJ calculations made by individual financial instrumentbusinesses (securities companies).
6. The JSDA cannot be held responsible for any errors or omissions, etc., in this document.

54

Format for PSJ Calculation Statistical Values Report: Median Values
PSJ Calculation Statistical Values(Median Values)
Announced date/month/year
Loan Claim Collateralized Japan Housing Finance Mortgage-backed Securities/
Loan Claim Collateralized Government Housing Loan Corporation Mortgage-backed Securities
Reporting Member:
Issue
No.

Yield Curve Scenarios-300bp-200bp-100bp

-50bp

0bp

50bp

100bp

200bp

300bp

Low/High (%)
/
/
/
/
/
/
/
/
/
/
/
/
/
/
/
/
/
/
/
/
/
/
/
/
/
/
/
/

1. The PSJ Calculation Statistical Values listed in this document are PSJ model converted figures (hereinafter referred to as“PSJ calculations”) of MBS prepayment calculations reported to the JSDA by financial instrument businesses (securities
companies) that have met certain conditions. The figures are based on prepayment calculations reported as of 3:00 P.M. on
the day before monthly public announcements (the 1st and 15th of each month, if that day is a business holiday then theprevious business day, the same holds hereafter) and have been compiled and statistically processed by the JSDA.
2. The sole purpose of this document is to provide information on MBS PSJ Calculation Statistical Values as of 3:00 P.M. on
the day prior to the announcement day. It does not represent in any way a recommendation or solicitation to invest in thefinancial instruments listed. Investors are encouraged to take responsibility for their final investment decisions.
3. The PSJ Calculation Statistical Values in this document are calculated from PSJ calculations based on economic andfinancial conditions and publicly announced data as of 3:00 P.M. on the day prior to the announcement day. As a result,obviously the PSJ Calculation Statistical Values could differ should the conditions on which the figures are premised change
following the determination of the PSJ calculations by the financial instruments businesses (securities companies).
4. In calculating the PSJ Calculation Statistical Values listed in this document, the JSDA receives reports of PSJ calculations
from financial instrument businesses (securities companies) that have met certain conditions. However, these financial
instrument businesses (securities companies) provide no guarantees to the JSDA that the PSJ calculations are correct orcomplete. Furthermore, the JSDA bears no responsibility for the correctness or completeness of the PSJ Calculation
Statistical Values.
5. The JSDA is not able to respond to enquiries about the PSJ calculations made by individual financial instrumentbusinesses (securities companies).
6. The JSDA cannot be held responsible for any errors or omissions, etc., in this document.

55