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:
| ( dollar amounts in millions )   | 12/31/2011   | net new business   | net acquired   | market /fx app ( dep )   | 12/31/2012   |
|:---------------------------------|:-------------|:-------------------|:---------------|:-------------------------|:-------------|
| equity                           | $ 419651     | $ 52973            | $ 3517         | $ 58507                  | $ 534648     |
| fixed income                     | 153802       | 28785              | 3026           | 7239                     | 192852       |
| multi-asset class                | 562          | 178                | 78             | 51                       | 869          |
| alternatives                     | 19341        | 3232               | 701            | 1064                     | 24338        |
| long-term                        | $ 593356     | $ 85168            | $ 7322         | $ 66861                  | $ 752707     |

Question:
what is the percent change in equity component changes from 12/31/2011 to 12/31/2012?


pre_text: product management , business development and client service .
our alternatives products fall into two main categories 2013 core , which includes hedge funds , funds of funds ( hedge funds and private equity ) and real estate offerings , and currency and commodities .
the products offered under the bai umbrella are described below .
2022 hedge funds ended the year with $ 26.6 billion in aum , down $ 1.4 billion as net inflows into single- strategy hedge funds of $ 1.0 billion were more than offset by return of capital on opportunistic funds .
market valuation gains contributed $ 1.1 billion to aum growth .
hedge fund aum includes a variety of single-strategy , multi-strategy , and global macro , as well as portable alpha , distressed and opportunistic offerings .
products include both open-end hedge funds and similar products , and closed-end funds created to take advantage of specific opportunities over a defined , often longer- term investment horizon .
2022 funds of funds aum increased $ 6.3 billion , or 28% ( 28 % ) , to $ 29.1 billion at december 31 , 2012 , including $ 17.1 billion in funds of hedge funds and hybrid vehicles and $ 12.0 billion in private equity funds of funds .
growth largely reflected $ 6.2 billion of assets from srpep as we expanded our fund of funds product offerings and further engage in european and asian markets .
2022 real estate and hard assets aum totaled $ 12.7 billion , down $ 0.1 billion , or 1% ( 1 % ) , reflecting $ 0.6 billion in client net redemptions and distributions and $ 0.5 billion in portfolio valuation gains .
offerings include high yield debt and core , value-added and opportunistic equity portfolios and renewable power funds .
we continued to expand our real estate platform and product offerings with the launch of our first u.s .
real estate investment trust ( 201creit 201d ) mutual fund and addition of an infrastructure debt team to further increase and diversify our offerings within global infrastructure investing .
currency and commodities .
aum in currency and commodities strategies totaled $ 41.4 billion at year-end 2012 , flat from year-end 2011 , reflecting net outflows of $ 1.5 billion , primarily from active currency and currency overlays , and $ 0.8 billion of market and foreign exchange gains .
claymore also contributed $ 0.9 billion of aum .
currency and commodities products include a range of active and passive products .
our ishares commodities products represented $ 24.3 billion of aum , including $ 0.7 billion acquired from claymore , and are not eligible for performance fees .
cash management cash management aum totaled $ 263.7 billion at december 31 , 2012 , up $ 9.1 billion , or 4% ( 4 % ) , from year-end 2011 .
cash management products include taxable and tax-exempt money market funds and customized separate accounts .
portfolios may be denominated in u.s .
dollar , euro or british pound .
at year-end 2012 , 84% ( 84 % ) of cash aum was managed for institutions and 16% ( 16 % ) for retail and hnw investors .
the investor base was also predominantly in the americas , with 69% ( 69 % ) of aum managed for investors in the americas and 31% ( 31 % ) for clients in other regions , mostly emea-based .
we generated net inflows of $ 5.0 billion during 2012 , reflecting continued uncertainty around future regulatory changes and a challenging investing environment .
to meet investor needs , we sought to provide new solutions and choices for our clients by launching short duration products in the united states , which both immediately address the challenge of a continuing low interest rate environment and will also be important investment options should regulatory changes occur .
in the emea business , and in particular for our euro product set , we have taken action to ensure that we can provide effective cash management solutions in the face of a potentially negative yield environment by taking steps to launch new products and re-engineer our existing product set .
ishares our industry-leading u.s .
and international ishares etp suite is discussed below .
component changes in aum 2013 ishares ( dollar amounts in millions ) 12/31/2011 net new business acquired market /fx app ( dep ) 12/31/2012 .
post_text: .
label: 0.27403
qa: answer: 27.4%
ann_table_rows: 1
5
ann_text_rows: 29
steps: op: minus2-1
arg1: 534648
arg2: 419651
res: 114997
op: divide2-2
arg1: #0
arg2: 419651
res: 27.4%
program: subtract(534648, 419651), divide(#0, 419651)
gold_inds: table_1: ( dollar amounts in millions ) the equity of 12/31/2011 is $ 419651 ; the equity of net new business is $ 52973 ; the equity of net acquired is $ 3517 ; the equity of market /fx app ( dep ) is $ 58507 ; the equity of 12/31/2012 is $ 534648 ;
table_5: ( dollar amounts in millions ) the long-term of 12/31/2011 is $ 593356 ; the long-term of net new business is $ 85168 ; the long-term of net acquired is $ 7322 ; the long-term of market /fx app ( dep ) is $ 66861 ; the long-term of 12/31/2012 is $ 752707 ;
text_29: component changes in aum 2013 ishares ( dollar amounts in millions ) 12/31/2011 net new business acquired market /fx app ( dep ) 12/31/2012 .
exe_ans: 0.27403
program_re: divide(subtract(534648, 419651), 419651)
model_input: text_21
dollar , euro or british pound .
text_29
component changes in aum 2013 ishares ( dollar amounts in millions ) 12/31/2011 net new business acquired market /fx app ( dep ) 12/31/2012 .
table_1
( dollar amounts in millions ) the equity of 12/31/2011 is $ 419651 ; the equity of net new business is $ 52973 ; the equity of net acquired is $ 3517 ; the equity of market /fx app ( dep ) is $ 58507 ; the equity of 12/31/2012 is $ 534648 ;