jpmorgan chase & co./2016 annual report 103 risk in the derivatives portfolio .
in addition , the firm 2019s risk management process takes into consideration the potential impact of wrong-way risk , which is broadly defined as the potential for increased correlation between the firm 2019s exposure to a counterparty ( avg ) and the counterparty 2019s credit quality .
many factors may influence the nature and magnitude of these correlations over time .
to the extent that these correlations are identified , the firm may adjust the cva associated with that counterparty 2019s avg .
the firm risk manages exposure to changes in cva by entering into credit derivative transactions , as well as interest rate , foreign exchange , equity and commodity derivative transactions .
the accompanying graph shows exposure profiles to the firm 2019s current derivatives portfolio over the next 10 years as calculated by the peak , dre and avg metrics .
the three measures generally show that exposure will decline after the first year , if no new trades are added to the portfolio .
exposure profile of derivatives measures december 31 , 2016 ( in billions ) the following table summarizes the ratings profile by derivative counterparty of the firm 2019s derivative receivables , including credit derivatives , net of all collateral , at the dates indicated .
the ratings scale is based on the firm 2019s internal ratings , which generally correspond to the ratings as defined by s&p and moody 2019s .
ratings profile of derivative receivables rating equivalent 2016 2015 ( a ) december 31 , ( in millions , except ratios ) exposure net of all collateral % (  % ) of exposure net of all collateral exposure net of all collateral % (  % ) of exposure net of all collateral .

Rating equivalent
2016
2015<sup>(a)</sup>
December 31,(in millions, except ratios)
Exposure net of all collateral
% of exposure netof all collateral
Exposure net of all collateral
% of exposure netof all collateral
AAA/Aaa to AA-/Aa3
$11,449
28%
$10,371
24%
A+/A1 to A-/A3
8,505
20
10,595
25
BBB+/Baa1 to BBB-/Baa3
13,127
32
13,807
32
BB+/Ba1 to B-/B3
7,308
18
7,500
17
CCC+/Caa1 and below
984
2
824
2
Total
$41,373
100%
$43,097
100%

( a ) prior period amounts have been revised to conform with the current period presentation .
as previously noted , the firm uses collateral agreements to mitigate counterparty credit risk .
the percentage of the firm 2019s derivatives transactions subject to collateral agreements 2014 excluding foreign exchange spot trades , which are not typically covered by collateral agreements due to their short maturity 2014 was 90% ( 90 % ) as of december 31 , 2016 , largely unchanged compared with 87% ( 87 % ) as of december 31 , 2015 .
credit derivatives the firm uses credit derivatives for two primary purposes : first , in its capacity as a market-maker , and second , as an end-user to manage the firm 2019s own credit risk associated with various exposures .
for a detailed description of credit derivatives , see credit derivatives in note 6 .
credit portfolio management activities included in the firm 2019s end-user activities are credit derivatives used to mitigate the credit risk associated with traditional lending activities ( loans and unfunded commitments ) and derivatives counterparty exposure in the firm 2019s wholesale businesses ( collectively , 201ccredit portfolio management 201d activities ) .
information on credit portfolio management activities is provided in the table below .
for further information on derivatives used in credit portfolio management activities , see credit derivatives in note 6 .
the firm also uses credit derivatives as an end-user to manage other exposures , including credit risk arising from certain securities held in the firm 2019s market-making businesses .
these credit derivatives are not included in credit portfolio management activities ; for further information on these credit derivatives as well as credit derivatives used in the firm 2019s capacity as a market-maker in credit derivatives , see credit derivatives in note 6. .

Question: Analyse this data from a financial earnings document. what percentage of the 2016 ratings profile of derivative receivables had a rating equivalent for junk ratings?
Choices:
40
7326
9
20.0
20
Correct choice index: 3