estimating residential demand for electricity in greece abstract this paper examines the residential demand for electricity in greece the issues of structural stability price and income sensitivity of both long and short run residential demand for electricity in greece were examined employing monthly data over the period 1986 1999 the long run residential demand for electricity is estimated taking into account changes in weather conditions weighted by the size of the population employing multivariate framework analysis a long run residential demand function for electricity sensitive to real income price level and weather conditions is found to exist and the importance of short run deviations is presented using vector error correction model vecm estimation the empirical evidence suggests the presence of a stable residential demand for electricity in greece both in the long and short run periods and the policy implications of such a relationship are presented

lp modeling for asset liability management a survey of choices and simplifications dynamic linear programming lp models for asset liability management alm are quite powerful and flexible but face two challenges 1 many modeling choices not all consistent with one another or with finance theory and 2 solution difficulties due to the large number of scenarios obtained from standard interest rate models we first survey these modeling choices with a view to help researchers make self consistent choices next we review how the dynamic lp model for alm and the representation of uncertainty therein have been simplified in the past to motivate new or hybrid models emphasizing tractability to this end we review existing static lp models as extreme modeling simplifications and aggregation as a simplification of uncertainty

simulation and optimization approaches to scenario tree generation in this paper three approaches are presented for generating scenario trees for 3nancial portfolio problems these are based on simulation optimization and hybrid simulation optimization in the simulation approach the price scenarios at each time period are generated as the centroids of random scenario simulations generated sequentially or in parallel the optimization method generates a number of discrete outcomes which satisfy speci3ed statistical properties by solving either a sequence of non linear optimization models one at each node of the scenario tree or onelargeoptimization proble m in thehybrid approach theoptimization proble m is re duce d in size by 3xing price variables to values obtained by simulation these procedures are backtested using historical data and computational results are presented 2003 elsevier b v all rights reserved

the demand for residential electricity in south africa abstract this paper examines the residential demand for electricity in south africa as a function of real gross domestic product per capita and the price of electricity during the period 1978 2005 we make use of the bounds testing approach to cointegration within an autoregressive distributed framework suggested by pesaran et al 2001 bounds testing approaches to the analysis of level relationships journal of applied econometrics 16 3 289 326 following the literature we use a linear double logarithmic form using income and price as independent variables in the empirical analysis in the long run we find that income is the main determinant of electricity demand while electricity price is insignificant

pricing credit derivatives with rating transitions we present a model for pricing risky debt and valuing credit derivatives that is easily calibrated to existing variables our approach expands a classical term structure model to allow for multiple rating classes of debt the framework has two salient features 1 it uses a rating transition matrix as the driver for the default process and 2 the entire set of rating categories is calibrated jointly which allows arbitrage free restrictions across rating classes as a bond migrates among them we illustrate the approach by applying it to price credit sensitive notes that have coupon payments linked to the rating of the underlying credit

an equilibrium model of bond pricing and a test of market efficiency in two previous and related papers 3 4 the authors have reported the results of estimating a particular equilibrium model of bond pricing using quarterly data on canadian government bonds for the period 1964 to 1979 this paper reports the results of applying a similar model to the pricing of u s government bonds for the period 1958 1979 using data from the crsp government bond file the paper also extends the previous empirical analysis by evaluating the ability of the pricing model to detect underpriced and overpriced bonds the data reveal a strong relation between price prediction errors and subsequent bond returns

robust optimization models for managing callable bond portfolios abstract a major sector of the bond markets is currently represented by instruments with embedded call options the complexity of bonds with call features coupled with the recent increase in volatility has raised the risks as well as the potential rewards for bond holders these complexities however make it difficult for the portfolio manager to evaluate individual securities and their associated risks in order to successfully construct bond portfolios traditional bond portfolio management methods are inadequate particularly when interest rate dependent cashflows are involved in this paper we integrate traditional simulation models for bond pricing with recent developments in robust optimization to develop tools for the management of portfolios of callable bonds two models are developed a single period model that imposes robustness by penalizing downside tracking error and a multi stage stochastic program with recourse both models are applied to create a portfolio to track a callable bond index the models are backtested using ex poste market data over the period from january 1992 to march 1993 and they perform constistently well

the valuation of american options on bonds abstract we value american options on bonds using a generalization of the geske johnson geske r johnson h 1984 journal of finance 39 1151 1542 gj technique the method requires the valuation of european options and options with multiple exercise dates it is shown that a risk neutral valuation relationship rnvr along the lines of black scholes black f scholes m 1973 journal of political economy 81 637 659 model holds for options exercisable on multiple dates even under stochastic interest rates when the price of the underlying asset is lognormally distributed the proposed computational procedure uses the maximized value of these options where the maximization is over all possible exercise dates the value of the american option is then computed by richardson extrapolation the volatility of the underlying default free bond is modeled using a two factor model with a short term and a long term interest rate factor we report the results of simulations of american option values using our method and show how they vary with the key parameter inputs such as the maturity of the bond its volatility and the option strike price

dynamic models for fixed income portfolio management under uncertainty abstract we develop multi period dynamic models for fixed income portfolio management under uncertainty using multi stage stochastic programming with recourse the models integrate the prescriptive stochastic programs with descriptive monte carlo simulation models of the term structure of interest rates extensive validation experiments are carried out to establish the effectiveness of the models in hedging against uncertainty and to assess their performance vis a vis single period models an application to tracking the salomon brothers mortgage index is reported with very encouraging results results that establish the efficacy of the models in hedging against out of sample scenarios are also reported for an application from money management the multi period models outperform classical models based on portfolio immunization and single period models

market size and vertical integration stigler s hypothesis reconsidered according to stigler 1951 vertical disintegration should be the typical development in growing industries vertical integration in declining industries the basic argument is that firms will spin off production stages subject to increasing returns to scale in response to market growth this paper re examines stigler s hypothesis within an equilibrium model of industrial structure in which the organization of firms is endogenous stigler s hypothesis is confirmed when entry into markets is free and firms compete however when entry into the intermediate good market is restricted or intermediate good producers collude vertical integration increases with market size

price elasticity block tariffs and equity of natural gas demand in china investigation based on household level survey data abstract on the basis of a newly established database from the chinese residential energy consumption survey this paper estimates the price elasticity of natural gas demand for the households and investigates the factors that affect residential natural gas consumption in china to address the endogeneity problems the non residential natural gas price has been adopted as the instrumental variable for residential natural gas price results demonstrate that the natural gas demand of chinese households respond significantly to price change with an overall price elasticity coefficient of 0 898 in the meanwhile 1 increase in family members would cause 0 159 rise in natural gas demand and household in the south consumes 28 8 more natural gas than that in the north recognizing the heterogeneity of residential natural gas price elasticity for different households quantile regression technique has further been applied to analyze the distributional effect of natural gas consumption the simulation suggests that the gini coefficient drops from 0 49 to 0 40 after introducing an increasing block tariff scheme to replace the original flat tariff system confirming a price reform has potential to improve the energy equity situation by reshaping the energy consumption pattern

the price elasticity of electricity demand in south australia abstract in this paper the price elasticity of electricity demand representing the sensitivity of customer demand to the price of electricity has been estimated for south australia we first undertake a review of the scholarly literature regarding electricity price elasticity for different regions and systems then we perform an empirical evaluation of the historic south australian price elasticity focussing on the relationship between price and demand quantiles at each half hour of the day this work attempts to determine whether there is any variation in price sensitivity with the time of day or quantile and to estimate the form of any relationships that might exist in south australia

residential electricity demand dynamics in turkey abstract this article provides fresh empirical evidences for the income and price elasticies of the residential energy demand both in the short run and long run for turkey over the period 1968 2005 using the bounds testing procedure to cointegration the computed elasticities of income and price are consistent with the previous studies and as expected the long run elasticities are greater than the short run elasticities an augmented form of granger causality analysis is implemented among residential electricity income price and urbanization in the long run causality runs interactively through the error correction term from income price and urbanization to residential energy but the short run causality tests are inconclusive the parameter stability of the short run as well as long run coefficients in the residential energy demand function are tested the results of these tests display a stable pattern

using the black derman toy interest rate model for portfolio optimization abstract no arbitrage interest rate models are designed to be consistent with the current term structure of interest rates the diffusion of the interest rates is often approximated with a tree in which the scenario dependent fair price of any security is calculated as the present value of the risk neutral expectation by backward induction to use this tree in a portfolio optimization context it is necessary to account for the so called market price of risk in this paper we present a method to change the conditional probabilities in the black derman toy model to the physical or real measure including the market price of risk and explore the economic implications for expected spot rates and for expected bond returns

modeling energy demand some emerging issues abstract the proliferation of papers on energy demand modeling has offered different dimensions both in terms of methodology and estimation while this development has strengthened our understanding of the subject it may render the identification of gaps in the literature arduous for future research thus this study sets out to document some emerging issues that seem to have engendered new directions on energy demand modeling ranging from asymmetric price responses time varying demand parameters triangulation analyses to seasonal and climate change effects it is hoped that access to this review complemented with the previous ones will facilitate the comprehension of the extant literature as well as areas of future research in energy demand modeling

continuous time methods in finance a review and an assessment i survey and assess the development of continuous time methods in finance during the last 30 years the subperiod 1969 to 1980 saw a dizzying pace of development with seminal ideas in derivatives securities pricing term structure theory asset pricing and optimal consumption and portfolio choices during the period 1981 to 1999 the theory has been extended and modified to better explain empirical regularities in various subfields of finance this latter subperiod has seen significant progress in econometric theory computational and estimation methods to test and implement continuous time models capital market frictions and bargaining issues are being increasingly incorporated in continuous time theory the roots of modern continuous time methods in finance can be traced back to the seminal contributions of merton 1969 1971 1973b in the late 1960s and early 1970s merton 1969 pioneered the use of continuous time modeling in financial economics by formulating the intertemporal consumption and portfolio choice problem of an investor in a stochastic dynamic programming setting merton 1973b also showed how such a framework can be used to develop equilibrium asset pricing implications thereby significantly extending the asset pricing theory to richer dynamic settings and expanding the scope of applications of continuous time methods to study problems in financial economics 1 within a span of about 30 years from the publication of merton s inf luential papers continuous time methods have become an integral part of financial economics indeed in certain core areas in finance such as e g asset pricing derivatives valuation term structure theory and portfolio selection continuoustime methods have proved to be the most attractive way to conduct research and gain economic intuition the continuous time approach in these areas has produced models with a rich variety of testable implications the econometric theory for testing continuous time models has made rapid strides in the last decade and has thus kept pace with the impressive progress on the theoretical front one hopes that the actual empirical investigations and estimation using the new procedures will follow suit soon

income and price elasticities of electricity demand aggregate and sector wise analyses abstract cointegration and vector error correction modeling approaches are widely used in electricity demand analysis the study rigorously examines the determinants of electricity demand at aggregate and sectoral levels in pakistan in the backdrop of severe electricity shortages our empirical findings give support to the existence of a stable long run relationship among the variables and indicate that electricity demand is elastic in the long run to both income and price at aggregate level at sectoral level long run income and price elasticity estimates follow this pattern except in agricultural sector where electricity demand is found elastic to output but inelastic to electricity price on the contrary the coefficients for income and price are rather small and mostly insignificant in the short run we employed temperature index price of diesel oil and capital stock at aggregate and sectoral levels as exogenous variables these variables account for most of the variations in electricity demand in the short run it shows that mechanization of the economy significantly affect the electricity demand at macro level moreover elastic electricity demand with respect to electricity price in most of the sectors implies that electricity price as a policy tool can be used for efficient use and conservation

the demand function for residential heat through district heating system and its consumption benefits in korea abstract the demand for residential heat rh through a district heating system dhs has been and will be expanded in korea due to its better performance in energy efficiency and the abatement of greenhouse gas emissions than decentralized boilers the purposes of this paper are two fold the first is to obtain the demand function for dhs based rh in korea and investigate the price and income elasticities of the demand employing the quarterly data covering the period 1988 2013 the short run price and income elasticities are estimated as 0 700 and 0 918 respectively moreover the long run elasticities are 1 253 and 1 642 respectively the second purpose is to measure the consumption benefits of dhs based rh employing the economic theory that they are the sum of the actual payment and consumer surplus for the consumption considering that the average price and estimated consumer surplus of the dhs based rh use in 2013 are computed to be krw 87 870 usd 84 1 and krw 62 764 usd 60 1 per gcal the consumption benefits of the dhs based rh are calculated to be krw 150 634 usd 144 2 per gcal this information can be beneficially utilized to conduct an economic feasibility study for a new dhs project related to rh supply

pricing and hedging interest rate options evidence from cap floor markets we examine the pricing and hedging performance of interest rate option pricing models using dailydata on us dollar cap and floor prices across both strike rates and maturities our results show that fitting the skew of the underlying interest rate probability distribution provides accurate pricing results within a one factor framework however for hedging performance introducing a second stochastic factor is more important than fitting the skew of the underlying distribution this constitutes evidence against claims in the literature that correctly specified and calibrated one factor models could replace multi factor models for consistent pricing and hedging of interest rate contingent claims 2004 elsevier b v all rights reserved

residential electricity demand in spain new empirical evidence using aggregate data this paper presents an empirical analysis on residential demand for electricity this analysis has been performed using aggregate panel data at the province level for 47 spanish provinces for the period from 2000 to 2008 for this purpose we estimated a log log demand equation for electricity consumption using a dynamic partial adjustment approach this dynamic demand function has been estimated using a two step system gmm estimator proposed by blundell and bond 1998 the purpose of this empirical analysis is to highlight some of the characteristics of spanish residential electricity demand particular attention has been paid to the influence of price income and weather conditions on electricity demand the estimated short and long run own price elasticities are negative as expected but lower than 1 furthermore weather variables have a significant impact on electricity demand

the term structure of interest rates with housing abstract this paper develops a general equilibrium model to study the link between the amount of capital invested in housing assets and the term structure of interest rates in the model the production of housing assets is irreversible and housing assets can be used as collateral for borrowing funds agents decisions about consumption and investments in housing and non housing assets generate a time varying market price of risk that drives the dynamics of the term structure the calibration to u s data using the simulated method of moments technique captures the dynamics of consumption and the short and long term interest rates

a dynamic model for the forward curve this article develops and estimates a dynamic arbitrage free model of the current forward curve as the sum of i an unconditional component ii a maturity specific component and iii a date specific component the model combines features of the preferred habitat model the expectations hypothesis et and affine yield curve models it permits a class of low parameter multiple state variable dynamic models for the forward curve we show how to construct alternative parametric examples of the three components from a sum of exponential functions verify that the resulting forward curves satisfy the heath jarrow morton hjm conditions and derive the risk neutral dynamics for the purpose of pricing interest rate derivatives we select a model from alternative affine examples that are fitted to the fama bliss treasury data over an initial training period and use it to generate out of sample forecasts for forward rates and yields for forecast horizons of 6 months or longer the forecasts of this model significantly outperform those from common benchmark models jel c53 e43 e47 the structure of forward rates for fixed maturity loans to begin at various dates in the future can be inferred from the prices of treasury securities or directly observed from the extremely active eurodollar futures market the constellation of these rates or of the related yields plays a central role intheallocationofcapital therandombehaviorofthis yieldcurve or the relationship between the yields and the term to maturity is a subject of considerable theoretical and empirical study

short and long run elasticities in us residential electricity demand a co integration approach abstract co integration techniques show promise in the analysis of short and long run effects of economic variables on energy use we use these techniques to develop an error correction model of annual us residential electricity demand we construct equipment stock indices and estimate the model for 1949 1993 our analysis suggests a structural shift in consumption during the 1960s we discuss reasons for this shift report the short and long run elasticities provide forecasts for 1994 1995 and compare the model s forecasts with other published forecasts

throwing away a billion dollars the cost of suboptimal exercise strategies in the swaptions market abstract this paper studies the costs of applying single factor exercise strategies to american swap options when the term structure is actually driven by multiple factors using a multifactor string market model of the term structure we find that even when single factor models are recalibrated to match the market at every exercise date the exercise strategies they imply can be suboptimal based on estimates of notional amounts outstanding the total present value costs of following single factor strategies could be several billion dollars these results illustrate the importance of using well specified term structure models

discretized reality and spurious profits in stochastic programming models for asset liability management in the literature on stochastic programming models for practical portfolio investment problems relatively little attention has been devoted to the question how the necessarily approximate description of the asset price uncertainty in these models influences the optimal solution in this paper we will show that it is important that asset prices in such a description are arbitrage free descriptions which have been suggested in the literature are often inconsistent with observed market prices and or use sampling to obtain a set of scenarios about the future we will show that this effectively introduces arbitrage opportunities in the optimization model for an investor who cannot exploit arbitrage opportunities directly because of market imperfections and trading restrictions we will illustrate that the presence of such arbitrage opportunities may cause substantial biases in the optimal investment strategy

a one factor model of interest rates and its application to treasury bond options 1990 a one factor model of interest rates and its application to treasury bond options financial analysts journal vol 46 no 1 pp 33 39

a simple approach to interest rate option pricing a simple introduction to contingent claim valuation of risky assets in a discrete time stochastic interest rate economy is provided taking the term structure of interest rates as exogenous closed form solutions are derived for european options written on 1 treasury bills 2 interest rate forward contracts 3 interest rate futures contracts 4 treasury bonds 5 interest rate caps 6 stock options 7 equity forward contracts 8 equity futures contracts 9 eurodollar liabilities and 10 foreign exchange contracts article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

term structure movements and pricing interest rate contingent claims this paper derives an arbitrage free interest rate movements model ar model this model takes the complete term structure as given and derives the subsequent stochastic movement of the term structure such that the movement is arbitrage free we then show that the ar model can be used to price interest rate contingent claims relative to the observed complete term structure of interest rates this paper also studies the behavior and the economics of the model our approach can be used to price a broad range of interest rate contingent claims including bond options and callable bonds

arbitrage opportunities in arbitrage free models of bond pricing mathematical models of bond pricing are used by both academics and wall street practitioners with practitioners introducing time dependent parameters to fit arbitrage free models to selected asset prices we show in a simple one factor setting that the ability of such models to reproduce a subset of security prices need not extend to state contingent claims more generally we argue that the additional parameters of arbitrage free models should be complemented by close attention to fundamentals which might include mean reversion multiple factors stochastic volatility and or nonnormal interest rate distributions

convertible bonds model value attribution and analytics convertible bonds provide investors an option to convert the bond into the underlying equity for this reason a convertible bond is exposed to both equity and interest rate risk incorporating these two sources of risk into the model is particularly important for callable issues in this study a two factor model is used to analyze a sample of bonds the model shows that the correlation of stock risk and interest rate risk may affect convertible bond prices significantly the bond pricing model also provides portfolio analytics and can decompose a convertible bond into its basic components the stock and bonds with different maturities this approach enables an investor to implement a more precise hedging strategy than is possible using only delta

a bank asset and liability management model in managing its assets and liabilities in light of uncertainties in cash flows cost of funds and return on investments a bank must determine its optimal trade off between risk return and liquidity in this paper we develop a multiperiod stochastic linear programming model alm that includes the essential institutional legal financial and bank related policy considerations and their uncertainties yet is computationally tractable for realistically sized problems a version of the model was developed for the vancouver city savings credit union for a 5 year planning period the results indicate that alm is theoretically and operationally superior to a corresponding deterministic linear programming model and that the effort required for the implementation of alm and its computational requirements are comparable to those of the deterministic model moreover the qualitative and quantitative characteristics of the solutions are sensitive to the model s stochastic elements such as the asymmetry of cash flow distributions we also compare alm with the stochastic decision tree sdt model developed by s p bradley and d b crane alm is computationally more tractable on realistically sized problems than sdt and simulation results indicate that alm generates superior policies

strategic spin offs of input divisions abstract when a downstream producer enters backward into the input market a helping the rivals effect exists such entry hurts the firm s downstream business as it increases upstream competition and thus benefits its rival downstream firms this negative externality prevents the newly created upstream unit from expanding a spin off enables the firm to credibly expand in the input market thereby forcing its upstream competitors to behave less aggressively spin offs occur in equilibrium if and only if the number of downstream firms exceeds a threshold level when there is more than one integrated firm a spin off by a firm can trigger spin offs by others that would not occur otherwise

nonparametric modeling of u s interest rate term structure dynamics and implications on the prices of derivative securities this paper develops a nonparametric model of interest rate term structure dynamics based on a spot rate process that permits only positive interest rates and a market price of interest rate risk that precludes arbitrage opportunities both the spot rate process and the mar ket price of interest rate risk are nonparametrically specified so that the model allows for maximal flexibility in fitting into the data marginal density of interest rates and historical term structure data are exploited to provide robust estimation of the nonparametric term structure model the model is implemented using u s data and the estimation results are compared to those in the available literature empirical results not only provide strong evidence that most traditional spot rate models and market prices of interest rate risk are misspecified but also confirm that the nonparametric model generates significantly differ ent term structures and prices of common derivatives

the analysis and valuation of interest rate options abstract this paper provides a simple alternative model for the valuation of european style interest rate options the assumption that drives the hedging argument in the model is that the forward prices of bonds follow an arbitrary two state process later this assumption is made more specific by postulating that the discount on a zero coupon bond follows a multiplicative binomial process in contrast to the black scholes assumption applied to zero coupon bonds the limiting distribution of this process has the attractive features that the zero bond price has a natural barrier at unity thus precluding negative interest rates and that the bond price is negatively skewed the model is used to price interest rate options in general and interest rate caps and floors in particular the model is then generalized and applied to european style options on bonds a relationship is established between options on swaps and options on coupon bonds the generalized model then provides a computationally simple formula closely related to the black scholes formula for the valuation of european style options on swaps

a model for designing callable bonds and its solution using tabu search abstract we formulate the problem of designing callable bonds as a non linear global optimization problem the data of the model are obtained from simulations of holding period returns of a given bond design which are used to compute a certainty equivalent return viz some target assets the design specifications of the callable bond are then adjusted so that the certainty equivalent return is maximized the resulting problem is multi modal and a tabu search procedure implemented on a distributed network of workstations is used to optimize the bond design the model is compared with the classical portfolio immunization model and the tabu search solution technique is compared with simulated annealing for solving the global optimization program it is shown that the global optimization model yields higher returns than portfolio immunization it is also shown that tabu search is computationally more efficient than simulated annealing in solving the model and it produces better solutions

stochastic network programming for financial planning problems several financial planning problems are posed as dynamic generalized network models with stochastic parameters examples include asset allocation for portfolio selection international cash management and programmed trading arbitrage despite the large size of the resulting stochastic programs the network structure can be exploited within the solution strategy giving rise to efficient implementations empirical results are presented indicating the benefits of the stochastic network approach for the asset allocation case

on the suboptimality of single factor exercise strategies for bermudan swaptions abstract this paper resolves the disagreement between longstaff et al 2001 journal of finance economics 62 39 66 and andersen and andreasen 2001 journal of financial economics 62 3 37 over the effectiveness of the common business practice of using best fit single factor term structure models to deduce exercise strategies of bermudan swaptions i examine the cost of using recalibrated single factor models to determine the exercise strategy for bermudan swaptions in a multifactor world i show that single factor exercise strategies applied in a multifactor world only give rise to economically insignificant losses furthermore i find that the conditional model risk as defined in longstaff et al 2001 journal of finance economics 62 39 66 is statistically insignificant given the number of observations additional tests using the primal dual algorithm of andersen and broadie 2004 management science 50 9 indicate that losses found in longstaff et al 2001 journal of finance economics 62 39 66 cannot as claimed be ascribed to the number of factors

a comparison of yield curve estimation techniques using uk data abstract i compare different methods of estimating the term structure of interest rates on a daily uk treasury bill and gilt data that spans the period from january 1995 to january 1999 in sample and out of sample statistics reveal the superior pricing ability of certain methods characterised by an exponential functional form in addition to these standard goodness of fit statistics model performance is judged in terms of two trading strategies based on model residuals both strategies reveal that parsimonious representations of the term structure perform better than their spline counterparts characterised by a linear functional form this is valid even when abnormal returns are adjusted for market movements linear splines overfit the data and are likely to give misleading results

intimidating competitors endogenous vertical integration and downstream investment in successive oligopoly this paper examines the interplay of endogenous vertical integration and cost reducing downstream investment in successive oligopoly analyzing a linear cournot model we establish the following key results i vertical integration increases own investment and decreases competitor investment intimidation effect ii asymmetric integration is a non degenerate equilibrium outcome iii compared to a benchmark model without investment complete vertical separation is a less likely outcome we argue that these findings generalize beyond the linear cournot model under reasonable assumptions

a theory of the nominal term structure of interest rates a model of the nominal term structure of interest rates is developed that has a positive and stationary process for the interest rate and delivers closed form expressions for the prices of discount bonds and european options on bonds unlike the one state variable version of the cox ingersoll and ross 1985 model this model even in its one state variable version allows the term premium to change sign as a function of the state and the term to maturity and also allows for shapes of the yield curve that are observed in the u s data but that are disallowed in the cox ingersoll and ross model article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

from data to model and back to data a bond portfolio management problem abstract the bond portfolio management problem is formulated as a multiperiod stochastic program using interest rate scenarios the scenarios are sampled from the binomial lattice from a black derman toy model the paper analyzes the sensitivity of the solution of the resulting large scale mathematical program with respect to the model inputs the numerical results are for the italian bond market

modeling the stochastic behavior of short term interest rates pricing implications for discount bonds abstract this paper models the stochastic behavior of short term interest rates and determines the correct specification of the drift and diffusion functions of the spot rate process a wide variety of one factor diffusion and two factor stochastic volatility models is compared in terms of their ability to capture the dynamics of interest rate volatility the empirical evidence on the one three and six month eurodollar deposit rates indicates that a new class of models with stochastic volatility is better than the single factor diffusion models in forecasting the future volatility of interest rate changes the paper extends the one factor bdt term structure model to a two factor setting and presents the pricing implications for discount bonds monte carlo simulation results for the implied yields of three and six month zero coupon bonds imply that incorporating the so called level and garch effects in volatility improves the pricing performance of the interest rate models

one factor interest rate models and the valuation of interest rate derivative securities this paper compares different approaches to developing arbitrage free models of the term structure it presents a numerical procedure that can be used to construct a wide range of one factor models of the short rate that are both markov and consistent with the initial term structure of interest rates

the intersection of market and credit risk abstract economic theory tells us that market and credit risks are intrinsically related to each other and not separable we describe the two main approaches to pricing credit risky instruments the structural approach and the reduced form approach it is argued that the standard approaches to credit risk management creditmetrics creditrisk and kmv are of limited value when applied to portfolios of interest rate sensitive instruments and in measuring market and credit risk empirically returns on high yield bonds have a higher correlation with equity index returns and a lower correlation with treasury bond index returns than do low yield bonds also macro economic variables appear to influence the aggregate rate of business failures the creditmetrics creditrisk and kmv methodologies cannot reproduce these empirical observations given their constant interest rate assumption however we can incorporate these empirical observations into the reduced form of jarrow and turnbull 1995b drawing the analogy risk 5 63 70 model here default probabilities are correlated due to their dependence on common economic factors default risk and recovery rate uncertainty may not be the sole determinants of the credit spread we show how to incorporate a convenience yield as one of the determinants of the credit spread for credit risk management the time horizon is typically one year or longer this has two important implications since the standard approximations do not apply over a one year horizon first we must use pricing models for risk management some practitioners have taken a different approach than academics in the pricing of credit risky bonds in the event of default a bond holder is legally entitled to accrued interest plus principal we discuss the implications of this fact for pricing second it is necessary to keep track of two probability measures the martingale probability for pricing and the natural probability for value at risk we discuss the benefits of keeping track of these two measures

integrated simulation and optimization models for tracking indices of fixed income securities increasing performance pressures on fixed income managers have led to a search for new and creative ways to add to portfolio returns the largest pension plan sponsors insurance companies foundations and money management firms are using indexed portfolios as their fixed income assets management strategies since the late 1970s tracking a fixed income index is a difficult task due to transaction costs portfolio size and diversification restrictions liquidity requirements bid ask spreads etc this paper develops an integrated simulation and optimization approach for tracking fixed income indices the model was implemented at metropolitan life insurance company we introduce a simulation model for generating scenarios of holding period returns of the securities in the index then we develop optimization models to select a portfolio that tracks the index the models penalize downside deviations of the portfolio return from the index the developed framework is used to track the salomon brothers mortgag

an integrated pricing model for defaultable loans and bonds abstract in recent years credit risk has played a key role in risk management issues practitioners academics and regulators have been fully involved in the process of developing studying and analysing credit risk models in order to find the elements which characterize a sound risk management system in this paper we present an integrated model based on a reduced pricing approach for market and credit risk its main features are those of being mark to market and that the spread term structure by rating class is contingent on the seniority of debt within an arbitrage free framework we introduce issues such as the integration of market and credit risk the use of stochastic recovery rates and recovery by seniority moreover we will characterize default risk by estimating migration risk through a mortality rate actuarial based approach the resultant probabilities will be the base for determining multi period risk neutral transition probability that allow pricing of risky debt in the trading and banking book

an empirical comparison of forward rate and spot rate models for valuing interest rate options our main goal is to investigate the question of which interest rate options valuation models are better suited to support the management of interest rate risk we use the german market to test seven spot and forward rate models with one and two factors for interest rate warrants for the period from 1990 to 1993 we identify a one factor forward rate model and two spot rate models with two factors that are not significantly outperformed by any of the other four models further rankings are possible if additional criteria are applied

modeling financial reinsurance in the casualty insurance business via stochastic programming abstract in this paper we examine the rationale for financial reinsurance in the casualty insurance business as opposed to regular reinsurance financial reinsurance refers to an investment strategy that uses the financial markets to hedge insurance risk the casualty insurer takes positions in derivatives on underlying assets whose prices are highly positively or negatively correlated with specific insurance risks we formulate the asset liability management problem for a mutually owned casualty insurer in the context of a dynamic stochastic portfolio selection model using numerical studies of the resulting large scale non linear program we compare properties of optimal portfolios with and without the possibility of financial reinsurance we let an alleged representative policyholder endowed with a linear plus negative exponential utility function evaluate the various optimal portfolios when policyholders utility functions exhibit reasonable levels of risk aversion we find that portfolios reflecting financial reinsurance dominate portfolios that are not financially reinsured

pricing derivatives on financial securities subject to credit risk this article provides a new methodology for pricing and hedging derivative securities involving credit risk two types of credit risks are considered the first is where the asset underlying the derivative security may default the second is where the writer of the derivative security may default we apply the foreign currency analogy of jarrow and turnbull 1991 to decompose the dollar payoff from a risky security into a certain payoff and a spot exchange rate arbitrage free valuation techniques are then employed this methodology can be applied to corporate debt and over the counter derivatives such as swaps and caps the purpose of this article is to provide a new theory for pricing and hedging derivative securities involving credit risk two sources of credit risk are identified and analyzed the first is where the asset underlying the derivative security may default paying off less than promised this is the case for example with imbedded options on corporate debt the second is the credit risk introduced by the writer of the derivative security who may also default examples include over the counter writers of options on eurodollar futures swaps and swaptions for pricing derivative securities involving credit risk there are currently two approaches the first views these derivatives as contingent claims not on the financial securities themselves but as compound options on the assets underlying the financial securities this is the case for example with the pricing of imbedded options on corporate debt see merton 1974 1977 black and cox 1976 ho and singer 1982 chance 1990 and kim ramaswamy and sundaresan 1993 or the pricing of vulnerable options see johnson and stulz 1987 in practice however this valuation methodology is difficult to use first the assets underlying the financial security are often not tradeable and therefore their values are not observable this makes application of the theory and estimation of the relevant parameters problematic second as in the case of corporate debt all of the other liabilities of the firm senior to the corporate debt must first and simultaneously be valued this generates significant computational difficulties as a result this approach has not

the valuation of complex derivatives by major investment firms empirical evidence this article examines the auction of a portfolio of collateralized mortgage obligations cmos to major broker dealers and institutional investors the unique data set allows us to analyze a number of important empirical questions related to the valuation of cmos by the bidders and the elasticity of demand for the securities the results reveal that the valuations differ substantially implying a significant elasticity of demand this article is designed to shed light on two related questions first it extends the work of bagwell 1991 1992 brown and ryngaert 1990 and bradley desai and kim 1988 among others on shareholder heterogeneity and the elasticity of the demand for financial assets to date the empirical research on investor heterogeneity has focused on common stock this article supplements previous work by examining an auction of another class of securities complex collateralized mortgage obligations cmos to major securities dealers and institutional investors second it provides perspective on fixed income valuation models in the spirit of cox ingersoll and ross 1985 and black derman and toy 1990 virtually all of these models even those that specify relatively complex interest rate processes assume homogeneous beliefs this implies that within the constraints imposed by estimation error sophisticated investors should place equal values on fixed income securities bagwell observes that investors can be heterogeneous along several dimensions first heterogeneity can be induced by tax rules to the extent that different investors are taxed in different ways their demand for securities will be affected second transaction costs can cause heterogeneity by driving a wedge between buyers sellers and owners of a security third investors can differ in their assessments of the value of a security either because they possess different information or because they analyze that information in different ways fourth investors can face different nontradeable risks and thus can have different assessments of the value of a security depending on how it interacts with these risks finally it has been suggested by lee shleifer and thaler 1991 among others that investors may differ for idio

lattice models for pricing american interest rate claims this article establishes efficient lattice algorithms for pricing american interest sensitive claims in the heath jarrow and morton paradigm under the assumption that the volatility structure of forward rates is restricted to a class that permits a markovian representation of the term structure the class of volatilities that permits this representation is quite large and imposes no severe restrictions on the structure for the spot rate volatility the algorithm exploits the markovian property of the term structure and permits the efficient computation of all types of interest rate claims specific examples are provided

hedging options under transaction costs and stochastic volatility in this paper we consider the problem of hedging contingent claims on a stock under transaction costs and stochastic volatility extensive research has clearly demonstrated that the volatility of most stocks is not constant over time as small changes of the volatility can have a major impact on the value of contingent claims hedging strategies should try to eliminate this volatility risk we propose a stochastic optimization model for hedging contingent claims that takes into account the effects of stochastic volatility transaction costs and trading restrictions simulation results show that our approach could improve performance considerably compared to traditional hedging strategies

sensitivity of price elasticity of demand to aggregation unobserved heterogeneity price trends and price endogeneity evidence from u s data abstract price elasticity estimates of residential electricity demand vary widely across the energy economics and policy literature in this paper we seek to explain these findings using three nationwide datasets from the u s the american housing survey forms eia 861 and the residential energy consumption survey we examine the role of the sample period level of aggregation use of panel data use of instrumental variables and inclusion of housing characteristics and capital stock our findings suggest that price elasticities have remained relatively constant over time upon splitting our panel datasets into annual cross sections we do observe a negative relationship between price elasticities and the average price whether prices are rising or falling appears to have little effect on our estimates we also find that aggregating our data can result in both higher and lower price elasticity estimates depending on the dataset used and that controlling for unit level fixed effects with panel data generally results in more inelastic demand functions addressing the endogeneity of price and or measurement error in price with instrumental variables has a small but noticeable effect on the price elasticities finally controlling for housing characteristics and capital stock produces a lower price elasticity

dynamic models of the term structure in the past 25 years tremendous progress has been made in modeling the dynamics of the term structure of interest rates which play an instrumental role in determining prices and hedging portfolios of fixed income derivative securities this article reviews the theoretical development of the dynamic models of the default free term structure and their applications in pricing interest rate options classic models sometimes termed equilibrium models and their multifactor extensions are outlined these models provide clear economic intuitions connecting the term structure with economic fundamentals they also lay a foundation for the framework of the arbitrage models that price interest rate derivatives on the basis of the market prices of bonds this framework has been expanded and enriched by recent advances in directly modeling observable market rates through the market models and in incorporating an internally consistent correlation structure through the infinite dimensional models

a multifactor spot rate model for the pricing of interest rate derivatives we propose a multifactor model in which the spot rate libor follows a lognormal process with a stochastic conditional mean under the risk neutral measure in addition to the spot rate factor the second factor is related to the premium of the first futures rate over the spot libor similarly the third factor is related to the premium of the second futures rate over the first futures rate we calibrate the model to the initial term structure of futures rates and to the implied volatilities of interest rate caplets we then apply the model to price interest rate derivatives such as european and bermudan style swaptions and yieldspread options the model can be employed to price more complex interest rate derivatives such as path dependent derivatives or multi currency dependent derivatives because of its markovian property

bond pricing and the term structure of interest rates a discrete time approximation this paper studies the binomial approximation to the continuous trading term structure model of heath jarrow and morton 1987 the discrete time approximation makes the original methodology accessible to a wider audience and provides a computational proce dure necessary for calculating the contingent claim values derived in the continuous time paper this paper also extends and generalizes ho and lee s 1986 model to include multiple random shocks to the forward rate process and to include an analysis of continu ous time limits the generalization provides insights into the limitations of the existing empirical implementation of ho and lee s model

black merton and scholes their central contributions to economics i will briefly summarize the central contributions to economics of fisher black robert c merton and myron s scholes of course the contribution that first comes to mind is the black scholes option pricing formula for which robert merton and myron scholes were awarded the alfred nobel memorial prize in economic sciences in 1997 i have no doubt that because of his key role in that far reaching formula fischer black would have shared in that prize but for his recent untimely death so i will depart from the usual convention for essays that appear in this journal on these occasions and address the contributions of all three of these exceptional economists simultaneously rather than giving separate treatment to fischer black my goal is to give an objective and concise account of their path breaking research and what it has offered to the theory and practice of economics

a stochastic programming model for money management abstract portfolio managers in the new fixed income securities have to cope with various forms of uncertainty in addition to the usual interest rate changes uncertainy in the timing and amount of cashflows changes in the default and other risk premia and so on complicate the portfolio manager s problem we develop here a multi period dynamic portfolio optimization model to address this problem the model specifies a sequence of investment decisions over time that maximize the expected utility of return at the end of the planning horizon the model is a two stage stochastic program with recourse the dynamics of interest rates cashflow uncertainty and liquidity default and other risk premia are explicitly modeled through postulated scenarios simulation procedures are developed to generate these scenarios the optimization models are then integrated with the simulation procedures extensive validation experiments are carried out to establish the effectiveness of the model in dealing with uncertainty in particular the model is compared against the popular portfolio immunization strategy and against a portfolio based on mean absolute deviation optimization

residential demand for electricity the case of greece this paper examines the determinants of residential electricity consumption in greece over the period 1961 86 the paper presents first a brief description of the evolution of residential electricity consumption then it proceeds in the estimation of elasticities of residential demand for electricity using a single equation model with the ridge regression method the paper concludes that i the residential demand for electricity is price inelastic and income elastic ii there is high substitutability between electricity and lpg iii during the examined period the number of consumers played a very important role in the expansion of electricity consumption in greece and iv there is no regional variation in residential electricity demand

a cyclical square root model for the term structure of interest rates this paper presents a cyclical square root model for the term structure of interest rates assuming that the spot rate converges to a certain time dependent long term level this model incorporates the fact that the interest rate volatility depends on the interest rate level and specifies the mean reversion level and the interest rate volatility using harmonic oscillators in this way we incorporate a good deal of flexibility and provide a high analytical tractability under these assumptions we compute closed form expressions for the values of different fixed income and interest rate derivatives finally we analyze the empirical performance of the cyclical model versus that proposed in cox et al 1985 and show that it outperforms this benchmark providing a better fitting to market data

on the optimality of path dependent structured funds the cost of standardization abstract this paper examines the suitability of an important class of standard financial structured products namely those whose performances are based on smoothing the return of a given risky underlying asset while providing a guarantee at maturity using various assumptions about the customers attitudes towards risk we show that such standardized products are not optimal even if the financial market volatility is constant as a by product we provide in particular the optimal portfolio value in the regret rejoice framework to go further with the notion of aversion of getting a return smaller than the risk free one using the notion of compensating variation we determine for the first time the monetary losses of providing these standardized products instead of the optimal ones to the customers we show that these monetary losses can be very significant when the volatility of the risky asset is stochastic from the operational point of view such results highly suggest to trade on the volatility index vix and or to introduce derivatives written on it when selling standardized funds in order to better meet investors needs and preferences

short and long run time of use price elasticities in swiss residential electricity demand abstract this paper presents an empirical analysis on the residential demand for electricity by time of day this analysis has been performed using aggregate data at the city level for 22 swiss cities for the period 2000 2006 for this purpose we estimated two log log demand equations for peak and off peak electricity consumption using static and dynamic partial adjustment approaches these demand functions were estimated using several econometric approaches for panel data for example lsdv and re for static models and lsdv and corrected lsdv estimators for dynamic models the attempt of this empirical analysis has been to highlight some of the characteristics of the swiss residential electricity demand the estimated short run own price elasticities are lower than 1 whereas in the long run these values are higher than 1 the estimated short run and long run cross price elasticities are positive this result shows that peak and off peak electricity are substitutes in this context time differentiated prices should provide an economic incentive to customers so that they can modify consumption patterns by reducing peak demand and shifting electricity consumption from peak to off peak periods

short and long run elasticities of electricity demand in the korean service sector abstract this paper attempts to examine the electricity demand function in the korean service sector using the annual data covering the period 1970 2011 the short and long run elasticities of electricity demand with respect to price and income are empirically estimated using a co integration and error correction model the short and long run price elasticities are estimated to be 0 421 and 1 002 respectively the short and long run income elasticities are computed to be 0 855 and 1 090 respectively electricity demand in the service sector is inelastic to changes in both price and income in the short run but elastic in the long run therefore it appears that a pricing policy is more effective than the direct regulation of reducing electricity demand in the long run in order to stabilize the electricity demand in the service sector moreover it is necessary to encourage a more efficient use of electricity to cope with increasing demand for electricity following economic growth because the electricity demand in the service sector is income elastic in the long run

the valuation of options on coupon bonds abstract we derive simple closed form expressions for european options on coupon bonds using the general equilibrium term structure framework of cox ingersoll and ross the properties of these options are very different from those implied by the black scholes model for example bond call and put values can move in the same direction as the value of the underlying bond changes this has important implications for hedging interest rate risk with bond options furthermore bond option values can be decreasing functions of interest rate volatility as well as their time to expiration we also examine the properties of american bond options

an econometric analysis of the drivers for residential heating consumption in the uk and germany abstract affecting millions of europeans energy poverty is increasingly high on the political agenda this paper compares space and water heating demand at household level in germany and in the united kingdom uk between 1991 and 2015 the elasticities of consumption of space and water heating with respect to price income and heating degree days hdd are examined using non parametric models domestic heating consumption is highly elastic with hdd in both countries and hdd elasticities are found to be higher in the uk from a certain income threshold heating demand decreases as income increases in german households whereas demand rises with higher incomes in the uk high price elasticities indicate that uk households are very responsive to energy conservation measures therefore implying that a pricing policy will effectively reduce heating consumption however in germany the impact of pricing policies is unclear thus the most effective policy measure to decrease domestic heating consumption in germany in the long run should be one which targets improvements of building envelope performance levels

discounting the distant future how much does model selection affect the certainty equivalent rate evaluating investment with long term consequences using discount rates that decline with the time horizon declining discount rates of ddrs means that future welfare changes are of greater consequence in present value terms recent work in this area has turned towards operationalising the theory and establishing a schedule of ddrs for use in cost benefit analysis using us data we make the following points concerning this transition i model selectionhas important implications for operationalising a theory of ddrs that depends upon uncertainty ii misspecification testing naturally leads to employing models that account for changes in the interest reat generating medanism lastly we provide an analysis of the policy implications of ddrs in the context of climate change for the us and show that the use of a state space model can increase valuations by 150 compared to conventional constant discounting

estimating short and long term residential demand for electricity new evidence from sri lanka this study investigates the short run dynamics and long run equilibrium relationship between residential electricity demand and factors influencing demand per capita income price of electricity price of kerosene oil and price of liquefied petroleum gas using annual data for sri lanka for the period 1960 2007 the study uses unit root cointegration and error correction models the long run demand elasticities of income own price and price of kerosene oil substitute were estimated to be 0 78 0 62 and 0 14 respectively the short run elasticities for the same variables were estimated to be 032 0 16 and 0 10 respectively liquefied petroleum lp gas is a substitute for electricity only in the short run with an elasticity 0 09 the main findings of the paper support the following 1 increasing the price of electricity is not the most effective tool to reduce electricity consumption 2 existing subsidies on electricity consumption can be removed without reducing government revenue 3 the long run income elasticity of demand shows that any future increase in household incomes is likely to significantly increase the demand for electricity and 4 any power generation plans which consider only current per capita consumption and population growth should be revised taking into account the potential future income increases in order to avoid power shortages ill the country

pricing interest rate options in a two factor cox ingersoll ross model of the term structure solutions are presented for prices on interest rate options in a two factor version of the cox ingersoll ross model of the term structure specific solutions are developed for caps on floating interest rates and for european options on discount bonds coupon bonds coupon bond futures and euro dollar futures the solutions for the options are expressed as multivariate integrals and we show how to reduce the calculations to univariate numerical integrations which can be calculated very quickly the two factor model provides more flexibility in fitting observed term structures and the fixed parameters of the model can be set to capture the variability of the term structure over time article published by oxford university press on behalf of the society for financial studies in its journal the review of financial studies

capturing the correlations of fixed income instruments this paper develops a framework for managing portfolios of fixed income instruments based on traditional principles from the equities market i e based on diversification it shows through an analysis of the high yield bond market over the period 1987 to 1991 that fixed income prices could be highly correlated these correlations can be quantified and integrated in a systematic way in an asset liability management framework for vanishing fixed income securities however we cannot resort to statistical analysis of historical data in order to quantify correlations the paper develops a forward looking simulation procedure for capturing correlations applications are illustrated for examples from high yield bonds and mortgage backed securities the superiority of the proposed approach over the traditional portfolio immunization techniques is demonstrated in the context of funding an insurance liability stream with mortgage instruments

pricing interest rate derivatives a general approach the relationship between affine stochastic processes and bond pricing equations in exponential term structure models has been well established we connect this result to the pricing of interest rate derivatives if the term structure model is exponential affine then there is a linkage between the bond pricing solution and the prices of many widely traded interest rate derivative securities our results apply to m factor processes with n diffusions and l jump processes the pricing solutions require at most a single numerical integral making the model easy to implement we discuss many options that yield solutions using the methods of the article

estimation of japanese price elasticities of residential electricity demand 1990 2007 abstract this paper estimates elasticities of japanese residential price electricity from 1990 to 2007 the first difference generalized method of moment estimator is employed to avoid dynamic panel bias which is not considered in most previous studies the results show that while short run elasticities are similar to those in previous studies long run elasticities are significantly lower in our study we also find that the price elasticity of japanese residential electricity consumption is notably affected by income inequality and severe weather based on these results we provide some insights to tailor environmental taxation so as to effectively attain the kyoto protocol

comment on generating scenario trees for multistage decision problems in models of decision making under uncertainty one typically has to approximate the uncertainties by a limited number of discrete outcomes ha yland and wallace 2001 formulate a nonlinear programming problem to generate sucha limited number of discrete outcomes while satisfying specified statistical properties they have developed and employed this method for a stochastic multistage asset allocation problem when the method is applied to such financial optimization problems under uncertainty we argue here that it does not suffice to match statistical properties to obtain realistic outcomes the limited description of the uncertainty in such models should also exclude arbitrage opportunities and thereby be consistent with financial asset pricing theory we illustrate that the method proposed by ha yland and wallace can result in arbitrage opportunities in the scenario tree if only statistical properties are imposed we show how one can check ex post for the presence of arbitrage opportunities in a scenario tree by checking for the existence of solutions to sets of linear equations arbitrage opportunities can also be precluded ex ante in the scenario tree by adding constraints to the nonlinear programming problem of ha yland and wallace

pricing interest rate derivative securities this article shows that the one state variableinterest rate models of vasicek 1977 and cox ingersoll and ross 1985b can be extended sothat they are consistent with both the current termstructure of interest rates and either the currentvolatilities of all spot interest rates or the currentvolatilities of all forward interest rates theextended vasicek model is shown to be very tracta ble analytically the article compares option pricesobtained using the extended vasicek model withthose obtained using a number of other models