pre_text: management 2019s discussion and analysis 118 jpmorgan chase & co./2018 form 10-k equivalent to the risk of loan exposures . dre is a less extreme measure of potential credit loss than peak and is used as an input for aggregating derivative credit risk exposures with loans and other credit risk . finally , avg is a measure of the expected fair value of the firm 2019s derivative receivables at future time periods , including the benefit of collateral . avg over the total life of the derivative contract is used as the primary metric for pricing purposes and is used to calculate credit risk capital and the cva , as further described below . the fair value of the firm 2019s derivative receivables incorporates cva to reflect the credit quality of counterparties . cva is based on the firm 2019s avg to a counterparty and the counterparty 2019s credit spread in the credit derivatives market . the firm believes that active risk management is essential to controlling the dynamic credit 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 contracts , as well as interest rate , foreign exchange , equity and commodity derivative contracts . 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 , 2018 ( in billions ) the following table summarizes the ratings profile 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 assigned by s&p and moody 2019s . ratings profile of derivative receivables .
post_text: as previously noted , the firm uses collateral agreements to mitigate counterparty credit risk . the percentage of the firm 2019s over-the-counter derivative transactions subject to collateral agreements 2014 excluding foreign exchange spot trades , which are not typically covered by collateral agreements due to their short maturity and centrally cleared trades that are settled daily 2014 was approximately 90% ( 90 % ) at both december 31 , 2018 , and december 31 , 2017. .
table: Rating equivalent 2018 2017
table: 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
table: AAA/Aaa to AA-/Aa3 $11,831 31% $11,529 29%
table: A+/A1 to A-/A3 7,428 19 6,919 17
table: BBB+/Baa1 to BBB-/Baa3 12,536 32 13,925 34
table: BB+/Ba1 to B-/B3 6,373 16 7,397 18
table: CCC+/Caa1 and below 723 2 645 2
table: Total $38,891 100% $40,415 100%
question: Analyse this data from a financial earnings document. considering the year 2018 , what is the amount of money represented by all the class b derivatives , in millions of dollars?