{"pre_text": ["management 2019s discussion and analysis 128 jpmorgan chase & co./2010 annual report year ended december 31 ."], "post_text": ["( a ) these hedges do not qualify for hedge accounting under u.s .", "gaap .", "lending-related commitments jpmorgan chase uses lending-related financial instruments , such as commitments and guarantees , to meet the financing needs of its customers .", "the contractual amount of these financial instruments represents the maximum possible credit risk should the counterpar- ties draw down on these commitments or the firm fulfills its obliga- tion under these guarantees , and should the counterparties subsequently fail to perform according to the terms of these con- tracts .", "wholesale lending-related commitments were $ 346.1 billion at december 31 , 2010 , compared with $ 347.2 billion at december 31 , 2009 .", "the decrease reflected the january 1 , 2010 , adoption of accounting guidance related to vies .", "excluding the effect of the accounting guidance , lending-related commitments would have increased by $ 16.6 billion .", "in the firm 2019s view , the total contractual amount of these wholesale lending-related commitments is not representative of the firm 2019s actual credit risk exposure or funding requirements .", "in determining the amount of credit risk exposure the firm has to wholesale lend- ing-related commitments , which is used as the basis for allocating credit risk capital to these commitments , the firm has established a 201cloan-equivalent 201d amount for each commitment ; this amount represents the portion of the unused commitment or other contin- gent exposure that is expected , based on average portfolio histori- cal experience , to become drawn upon in an event of a default by an obligor .", "the loan-equivalent amounts of the firm 2019s lending- related commitments were $ 189.9 billion and $ 179.8 billion as of december 31 , 2010 and 2009 , respectively .", "country exposure the firm 2019s wholesale portfolio includes country risk exposures to both developed and emerging markets .", "the firm seeks to diversify its country exposures , including its credit-related lending , trading and investment activities , whether cross-border or locally funded .", "country exposure under the firm 2019s internal risk management ap- proach is reported based on the country where the assets of the obligor , counterparty or guarantor are located .", "exposure amounts , including resale agreements , are adjusted for collateral and for credit enhancements ( e.g. , guarantees and letters of credit ) pro- vided by third parties ; outstandings supported by a guarantor located outside the country or backed by collateral held outside the country are assigned to the country of the enhancement provider .", "in addition , the effect of credit derivative hedges and other short credit or equity trading positions are taken into consideration .", "total exposure measures include activity with both government and private-sector entities in a country .", "the firm also reports country exposure for regulatory purposes following ffiec guidelines , which are different from the firm 2019s internal risk management approach for measuring country expo- sure .", "for additional information on the ffiec exposures , see cross- border outstandings on page 314 of this annual report .", "several european countries , including greece , portugal , spain , italy and ireland , have been subject to credit deterioration due to weak- nesses in their economic and fiscal situations .", "the firm is closely monitoring its exposures to these five countries .", "aggregate net exposures to these five countries as measured under the firm 2019s internal approach was less than $ 15.0 billion at december 31 , 2010 , with no country representing a majority of the exposure .", "sovereign exposure in all five countries represented less than half the aggregate net exposure .", "the firm currently believes its exposure to these five countries is modest relative to the firm 2019s overall risk expo- sures and is manageable given the size and types of exposures to each of the countries and the diversification of the aggregate expo- sure .", "the firm continues to conduct business and support client activity in these countries and , therefore , the firm 2019s aggregate net exposures may vary over time .", "in addition , the net exposures may be impacted by changes in market conditions , and the effects of interest rates and credit spreads on market valuations .", "as part of its ongoing country risk management process , the firm monitors exposure to emerging market countries , and utilizes country stress tests to measure and manage the risk of extreme loss associated with a sovereign crisis .", "there is no common definition of emerging markets , but the firm generally includes in its definition those countries whose sovereign debt ratings are equivalent to 201ca+ 201d or lower .", "the table below presents the firm 2019s exposure to its top 10 emerging markets countries based on its internal measure- ment approach .", "the selection of countries is based solely on the firm 2019s largest total exposures by country and does not represent its view of any actual or potentially adverse credit conditions. ."], "table": [["( in millions )", "2010", "2009", "2008"], ["hedges of lending-related commitments ( a )", "$ -279 ( 279 )", "$ -3258 ( 3258 )", "$ 2216"], ["cva and hedges of cva ( a )", "-403 ( 403 )", "1920", "-2359 ( 2359 )"], ["net gains/ ( losses )", "$ -682 ( 682 )", "$ -1338 ( 1338 )", "$ -143 ( 143 )"]], "table_ori": [["(in millions)", "2010", "2009", "2008"], ["Hedges of lending-related commitments<sup>(a)</sup>", "$(279)", "$(3,258)", "$2,216"], ["CVA and hedges of CVA<sup>(a)</sup>", "(403)", "1,920", "(2,359)"], ["Net gains/(losses)", "$(682)", "$(1,338)", "$(143)"]]}

Question: what was the annual decline in wholesale lending-related commitments in 2010?
Evidence:
text_5: wholesale lending-related commitments were $ 346.1 billion at december 31 , 2010 , compared with $ 347.2 billion at december 31 , 2009 .
Program: subtract(346.1, 347.2), divide(#0, 347.2)
Answer:
str_answer: .3%
exe_answer: -0.00317