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:
| Unnamed: 0               | 2009   | 2010   | 2011   | 2012   | 2013   | 2014   |
|:-------------------------|:-------|:-------|:-------|:-------|:-------|:-------|
| state street corporation | $ 100  | $ 107  | $ 114  | $ 101  | $ 120  | $ 190  |
| s&p 500 index            | 100    | 115    | 132    | 135    | 157    | 208    |
| s&p financial index      | 100    | 112    | 126    | 104    | 135    | 183    |
| kbw bank index           | 100    | 123    | 152    | 117    | 153    | 211    |

Question:
what is the roi of an investment in state street corporation from 20011 to 2012?


pre_text: .
post_text: .
label: -0.11404
qa: answer: -11.4%
ann_table_rows: 1
steps: op: minus2-1
arg1: 101
arg2: 114
res: 13
op: divide2-2
arg1: #0
arg2: 114
res: -11.4%
program: subtract(101, 114), divide(#0, 114)
gold_inds: table_1: the state street corporation of 2009 is $ 100 ; the state street corporation of 2010 is $ 107 ; the state street corporation of 2011 is $ 114 ; the state street corporation of 2012 is $ 101 ; the state street corporation of 2013 is $ 120 ; the state street corporation of 2014 is $ 190 ;
exe_ans: -0.11404
tfidftopn: table_2: The s&p 500 index of 2009 is 100 ; The s&p 500 index of 2010 is 115 ; The s&p 500 index of 2011 is 132 ; The s&p 500 index of 2012 is 135 ; The s&p 500 index of 2013 is 157 ; The s&p 500 index of 2014 is 208 ;
table_3: The s&p financial index of 2009 is 100 ; The s&p financial index of 2010 is 112 ; The s&p financial index of 2011 is 126 ; The s&p financial index of 2012 is 104 ; The s&p financial index of 2013 is 135 ; The s&p financial index of 2014 is 183 ;
program_re: divide(subtract(101, 114), 114)
model_input: table_1
the state street corporation of 2009 is $ 100 ; the state street corporation of 2010 is $ 107 ; the state street corporation of 2011 is $ 114 ; the state street corporation of 2012 is $ 101 ; the state street corporation of 2013 is $ 120 ; the state street corporation of 2014 is $ 190 ;
table_2
the s&p 500 index of 2009 is 100 ; the s&p 500 index of 2010 is 115 ; the s&p 500 index of 2011 is 132 ; the s&p 500 index of 2012 is 135 ; the s&p 500 index of 2013 is 157 ; the s&p 500 index of 2014 is 208 ;
table_4
the kbw bank index of 2009 is 100 ; the kbw bank index of 2010 is 123 ; the kbw bank index of 2011 is 152 ; the kbw bank index of 2012 is 117 ; the kbw bank index of 2013 is 153 ; the kbw bank index of 2014 is 211 ;