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:
| ( in millions )                                      | 2010    | 2009    |
|:-----------------------------------------------------|:--------|:--------|
| refundable income tax                                | $ 61.0  | $ 24.1  |
| net deferred income taxes ( note 14 )                | 18.3    | 23.8    |
| prepaid technology license and maintenance contracts | 18.0    | 17.0    |
| forward contract receivable ( note 20 )              | 11.8    | 27.3    |
| receivables from brokers                             | 11.2    | 8.8     |
| other prepaid expenses                               | 9.6     | 13.5    |
| prepaid insurance                                    | 6.3     | 7.0     |
| cboe exercise rights privilege                       | 2014    | 39.8    |
| other                                                | 9.9     | 4.3     |
| total                                                | $ 146.1 | $ 165.6 |

Question:
what was the percentage change in receivables from brokers with in other current assets from 2009 to 2010?


pre_text: 5 .
other current assets other current assets consisted of the following at december 31: .
post_text: 6 .
performance bonds and guaranty fund contributions cme clears and guarantees the settlement of cme , cbot and nymex contracts traded in their respective markets .
in its guarantor role , cme has precisely equal and offsetting claims to and from clearing firms on opposite sides of each contract , standing as an intermediary on every contract cleared .
clearing firm positions are combined to create a single portfolio for each clearing firm 2019s regulated and non-regulated accounts with cme for which performance bond and guaranty fund requirements are calculated .
to the extent that funds are not otherwise available to satisfy an obligation under the applicable contract , cme bears counterparty credit risk in the event that future market movements create conditions that could lead to clearing firms failing to meet their obligations to cme .
cme reduces its exposure through a risk management program that includes initial and ongoing financial standards for designation as a clearing firm , performance bond requirements and mandatory guaranty fund contributions .
each clearing firm is required to deposit and maintain balances in the form of cash , u.s .
government securities , bank letters of credit or other approved investments to satisfy performance bond and guaranty fund requirements .
all obligations and non-cash deposits are marked to market on a daily basis .
in addition , the rules and regulations of cbot require certain minimum financial requirements for delivery of physical commodities , maintenance of capital requirements and deposits on pending arbitration matters .
to satisfy these requirements , cbot clearing firms have deposited cash , u.s .
treasury securities and letters of credit .
cme marks-to-market open positions at least twice a day , and requires payment from clearing firms whose positions have lost value and makes payments to clearing firms whose positions have gained value .
for select product offerings within newer markets , positions are marked-to-market once daily , with the capability to mark-to-market more frequently as market conditions warrant .
under the extremely unlikely scenario of simultaneous default by every clearing firm who has open positions with unrealized losses , the maximum exposure related to cme 2019s guarantee would be one half day of changes in fair value of all open positions , before considering cme 2019s ability to access defaulting clearing firms 2019 performance bond and guaranty fund balances as well as other available resources .
during 2010 , cme transferred an average of approximately $ 2.4 billion a day through its clearing system for settlement from clearing firms whose positions had lost value to clearing firms whose positions had gained value .
cme reduces its guarantee exposure through initial and maintenance performance bond requirements and mandatory guaranty fund contributions .
the company believes that the guarantee liability is immaterial and therefore has not recorded any liability at december 31 , 2010. .
label: 0.27273000000000003
qa: answer: 29%
ann_table_rows: 5
steps: op: minus1-1
arg1: 11.2
arg2: 8.8
res: 2.4
op: divide1-2
arg1: #0
arg2: 8.8
res: 29%
program: subtract(11.2, 8.8), divide(#0, 8.8)
gold_inds: table_5: ( in millions ) the receivables from brokers of 2010 is 11.2 ; the receivables from brokers of 2009 is 8.8 ;
exe_ans: 0.27273000000000003
tfidftopn: text_1: other current assets other current assets consisted of the following at december 31: .
table_9: ( in millions ) The other of 2010 is 9.9 ; The other of 2009 is 4.3 ;
program_re: divide(subtract(11.2, 8.8), 8.8)
model_input: table_5
( in millions ) the receivables from brokers of 2010 is 11.2 ; the receivables from brokers of 2009 is 8.8 ;
table_9
( in millions ) the other of 2010 is 9.9 ; the other of 2009 is 4.3 ;
table_10
( in millions ) the total of 2010 is $ 146.1 ; the total of 2009 is $ 165.6 ;