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        | december 31 2018 targetassetallocation   | december 31 2018 actualassetallocation   | december 31 2017 actualassetallocation   |
|:------------------|:-----------------------------------------|:-----------------------------------------|:-----------------------------------------|
| debt securities   | 82% ( 82 % )                             | 83% ( 83 % )                             | 70% ( 70 % )                             |
| equity securities | 18                                       | 17                                       | 30                                       |
| total             | 100% ( 100 % )                           | 100% ( 100 % )                           | 100% ( 100 % )                           |

Question:
based on the december 31 2018 target what was the debt to equity ratio


pre_text: republic services , inc .
notes to consolidated financial statements 2014 ( continued ) we determine the discount rate used in the measurement of our obligations based on a model that matches the timing and amount of expected benefit payments to maturities of high quality bonds priced as of the plan measurement date .
when that timing does not correspond to a published high-quality bond rate , our model uses an expected yield curve to determine an appropriate current discount rate .
the yields on the bonds are used to derive a discount rate for the liability .
the term of our obligation , based on the expected retirement dates of our workforce , is approximately seven years .
in developing our expected rate of return assumption , we have evaluated the actual historical performance and long-term return projections of the plan assets , which give consideration to the asset mix and the anticipated timing of the plan outflows .
we employ a total return investment approach whereby a mix of equity and fixed income investments are used to maximize the long-term return of plan assets for what we consider a prudent level of risk .
the intent of this strategy is to minimize plan expenses by outperforming plan liabilities over the long run .
risk tolerance is established through careful consideration of plan liabilities , plan funded status and our financial condition .
the investment portfolio contains a diversified blend of equity and fixed income investments .
furthermore , equity investments are diversified across u.s .
and non-u.s .
stocks as well as growth , value , and small and large capitalizations .
derivatives may be used to gain market exposure in an efficient and timely manner ; however , derivatives may not be used to leverage the portfolio beyond the market value of the underlying investments .
investment risk is measured and monitored on an ongoing basis through annual liability measurements , periodic asset and liability studies , and quarterly investment portfolio reviews .
the following table summarizes our target asset allocation as of december 31 , 2018 and the actual asset allocation as of december 31 , 2018 and 2017 for our plan : december 31 , target allocation december 31 , actual allocation december 31 , actual allocation .
post_text: asset allocations are reviewed and rebalanced periodically based on funded status .
for 2019 , the investment strategy for plan assets is to maintain a broadly diversified portfolio designed to achieve our target of an average long-term rate of return of 5.20% ( 5.20 % ) .
while we believe we can achieve a long-term average return of 5.20% ( 5.20 % ) , we cannot be certain that the portfolio will perform to our expectations .
assets are strategically allocated among debt and equity portfolios to achieve a diversification level that reduces fluctuations in investment returns .
asset allocation target ranges and strategies are reviewed periodically with the assistance of an independent external consulting firm. .
label: 4.55556
qa: answer: 4.6
explanation: the company is funded primarily by debt with $ 4.6 for very dollar of equity
ann_table_rows: 1
2
steps: op: divide1-1
arg1: 82
arg2: 18
res: 4.6
program: divide(82, 18)
gold_inds: table_1: the debt securities of december 31 2018 targetassetallocation is 82% ( 82 % ) ; the debt securities of december 31 2018 actualassetallocation is 83% ( 83 % ) ; the debt securities of december 31 2017 actualassetallocation is 70% ( 70 % ) ;
table_2: the equity securities of december 31 2018 targetassetallocation is 18 ; the equity securities of december 31 2018 actualassetallocation is 17 ; the equity securities of december 31 2017 actualassetallocation is 30 ;
exe_ans: 4.55556
tfidftopn: text_15: the following table summarizes our target asset allocation as of december 31 , 2018 and the actual asset allocation as of december 31 , 2018 and 2017 for our plan : december 31 , target allocation december 31 , actual allocation december 31 , actual allocation .
program_re: divide(82, 18)
model_input: table_1
the debt securities of december 31 2018 targetassetallocation is 82% ( 82 % ) ; the debt securities of december 31 2018 actualassetallocation is 83% ( 83 % ) ; the debt securities of december 31 2017 actualassetallocation is 70% ( 70 % ) ;
table_2
the equity securities of december 31 2018 targetassetallocation is 18 ; the equity securities of december 31 2018 actualassetallocation is 17 ; the equity securities of december 31 2017 actualassetallocation is 30 ;
table_3
the total of december 31 2018 targetassetallocation is 100% ( 100 % ) ; the total of december 31 2018 actualassetallocation is 100% ( 100 % ) ; the total of december 31 2017 actualassetallocation is 100% ( 100 % ) ;