Task: Table-QA (source dataset: FinQA)

Task: 
You are given a table containing structured data and a natural language question referring to the table. Your goal is to analyze the table and provide an accurate and concise answer based on the given data.

Instructions:
1. Understand the Table: Examine the structure, headers, and data in the table. Identify relevant columns and rows related to the question.
2. Interpret the Question: Determine whether the question requires direct retrieval, aggregation, comparison, sorting, filtering, or inference.
3. Extract the Answer: Use logical reasoning and numerical operations (if necessary) to derive the correct response from the table.
4. Format the Answer: No explanation, return the answer in a structured JSON format: {"answer": <answer>}. If the question cannot be answered due to missing or ambiguous data, return a JSON response with {"answer": null}.

Table:
| december 31 , ( in millions )                                        | december 31 , 2012   | december 31 , 2011   | 2012         | 2011         |
|:---------------------------------------------------------------------|:---------------------|:---------------------|:-------------|:-------------|
| loans retained                                                       | $ 306222             | $ 278395             | $ 1434       | $ 2398       |
| loans held-for-sale                                                  | 4406                 | 2524                 | 18           | 110          |
| loans at fair value                                                  | 2555                 | 2097                 | 93           | 73           |
| loans 2013 reported                                                  | 313183               | 283016               | 1545         | 2581         |
| derivative receivables                                               | 74983                | 92477                | 239          | 297          |
| receivables from customers and other ( a )                           | 23648                | 17461                | 2014         | 2014         |
| total wholesale credit-related assets                                | 411814               | 392954               | 1784         | 2878         |
| lending-related commitments                                          | 434814               | 382739               | 355          | 865          |
| total wholesale credit exposure                                      | $ 846628             | $ 775693             | $ 2139       | $ 3743       |
| credit portfolio management derivatives notional net ( b )           | $ -27447 ( 27447 )   | $ -26240 ( 26240 )   | $ -25 ( 25 ) | $ -38 ( 38 ) |
| liquid securities and other cash collateral held against derivatives | -13658 ( 13658 )     | -21807 ( 21807 )     | na           | na           |

Question:
what was the percentage change in loans retained from 2011 to 2012?


pre_text: management 2019s discussion and analysis 150 jpmorgan chase & co./2012 annual report wholesale credit portfolio as of december 31 , 2012 , wholesale exposure ( cib , cb and am ) increased by $ 70.9 billion from december 31 , 2011 , primarily driven by increases of $ 52.1 billion in lending- related commitments and $ 30.2 billion in loans due to increased client activity across most regions and most businesses .
the increase in loans was due to growth in cb and am .
these increases were partially offset by a $ 17.5 billion decrease in derivative receivables , primarily related to the decline in the u.s .
dollar , and tightening of credit spreads ; these changes resulted in reductions to interest rate , credit derivative , and foreign exchange balances .
wholesale credit portfolio december 31 , credit exposure nonperforming ( c ) ( d ) .
post_text: receivables from customers and other ( a ) 23648 17461 2014 2014 total wholesale credit- related assets 411814 392954 1784 2878 lending-related commitments 434814 382739 355 865 total wholesale credit exposure $ 846628 $ 775693 $ 2139 $ 3743 credit portfolio management derivatives notional , net ( b ) $ ( 27447 ) $ ( 26240 ) $ ( 25 ) $ ( 38 ) liquid securities and other cash collateral held against derivatives ( 13658 ) ( 21807 ) na na ( a ) receivables from customers and other primarily includes margin loans to prime and retail brokerage customers ; these are classified in accrued interest and accounts receivable on the consolidated balance sheets .
( b ) represents the net notional amount of protection purchased and sold through credit derivatives used to manage both performing and nonperforming wholesale credit exposures ; these derivatives do not qualify for hedge accounting under u.s .
gaap .
excludes the synthetic credit portfolio .
for additional information , see credit derivatives on pages 158 2013159 , and note 6 on pages 218 2013227 of this annual report .
( c ) excludes assets acquired in loan satisfactions .
( d ) prior to the first quarter of 2012 , reported amounts had only included defaulted derivatives ; effective in the first quarter of 2012 , reported amounts in all periods include both defaulted derivatives as well as derivatives that have been risk rated as nonperforming. .
label: 0.09996000000000001
qa: answer: 10%
ann_table_rows: 1
steps: op: minus2-1
arg1: 306222
arg2: 278395
res: 27827
op: divide2-2
arg1: #0
arg2: 278395
res: 10%
program: subtract(306222, 278395), divide(#0, 278395)
gold_inds: table_1: december 31 , ( in millions ) the loans retained of december 31 , 2012 is $ 306222 ; the loans retained of december 31 , 2011 is $ 278395 ; the loans retained of 2012 is $ 1434 ; the loans retained of 2011 is $ 2398 ;
exe_ans: 0.09996000000000001
tfidftopn: table_2: december 31 , ( in millions ) The loans held-for-sale of december 31 , 2012 is 4406 ; The loans held-for-sale of december 31 , 2011 is 2524 ; The loans held-for-sale of 2012 is 18 ; The loans held-for-sale of 2011 is 110 ;
table_4: december 31 , ( in millions ) The loans 2013 reported of december 31 , 2012 is 313183 ; The loans 2013 reported of december 31 , 2011 is 283016 ; The loans 2013 reported of 2012 is 1545 ; The loans 2013 reported of 2011 is 2581 ;
program_re: divide(subtract(306222, 278395), 278395)
model_input: table_1
december 31 , ( in millions ) the loans retained of december 31 , 2012 is $ 306222 ; the loans retained of december 31 , 2011 is $ 278395 ; the loans retained of 2012 is $ 1434 ; the loans retained of 2011 is $ 2398 ;
table_2
december 31 , ( in millions ) the loans held-for-sale of december 31 , 2012 is 4406 ; the loans held-for-sale of december 31 , 2011 is 2524 ; the loans held-for-sale of 2012 is 18 ; the loans held-for-sale of 2011 is 110 ;
table_4
december 31 , ( in millions ) the loans 2013 reported of december 31 , 2012 is 313183 ; the loans 2013 reported of december 31 , 2011 is 283016 ; the loans 2013 reported of 2012 is 1545 ; the loans 2013 reported of 2011 is 2581 ;