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                      | as of december 2014   | as of december 2013   |
|:-----------------------------------|:----------------------|:----------------------|
| global core liquid assets ( gcla ) | $ 182947              | $ 184070              |
| other cash                         | 7805                  | 5793                  |
| gcla and cash                      | 190752                | 189863                |
| secured client financing           | 210641                | 263386                |
| inventory                          | 230667                | 255534                |
| secured financing agreements       | 74767                 | 79635                 |
| receivables                        | 47317                 | 39557                 |
| institutional client services      | 352751                | 374726                |
| public equity                      | 4041                  | 4308                  |
| private equity                     | 17979                 | 16236                 |
| debt1                              | 24768                 | 23274                 |
| loans receivable2                  | 28938                 | 14895                 |
| other                              | 3771                  | 2310                  |
| investing & lending                | 79497                 | 61023                 |
| total inventory and related assets | 432248                | 435749                |
| other assets                       | 22599                 | 22509                 |
| total assets                       | $ 856240              | $ 911507              |

Question:
what is the percentage change in inventory balance in 2014?


pre_text: management 2019s discussion and analysis scenario analyses .
we conduct scenario analyses including as part of the comprehensive capital analysis and review ( ccar ) and dodd-frank act stress tests ( dfast ) as well as our resolution and recovery planning .
see 201cequity capital management and regulatory capital 2014 equity capital management 201d below for further information .
these scenarios cover short-term and long- term time horizons using various macroeconomic and firm- specific assumptions , based on a range of economic scenarios .
we use these analyses to assist us in developing our longer-term balance sheet management strategy , including the level and composition of assets , funding and equity capital .
additionally , these analyses help us develop approaches for maintaining appropriate funding , liquidity and capital across a variety of situations , including a severely stressed environment .
balance sheet allocation in addition to preparing our consolidated statements of financial condition in accordance with u.s .
gaap , we prepare a balance sheet that generally allocates assets to our businesses , which is a non-gaap presentation and may not be comparable to similar non-gaap presentations used by other companies .
we believe that presenting our assets on this basis is meaningful because it is consistent with the way management views and manages risks associated with the firm 2019s assets and better enables investors to assess the liquidity of the firm 2019s assets .
the table below presents our balance sheet allocation. .
post_text: 1 .
includes $ 18.24 billion and $ 15.76 billion as of december 2014 and december 2013 , respectively , of direct loans primarily extended to corporate and private wealth management clients that are accounted for at fair value .
2 .
see note 9 to the consolidated financial statements for further information about loans receivable .
below is a description of the captions in the table above .
2030 global core liquid assets and cash .
we maintain substantial liquidity to meet a broad range of potential cash outflows and collateral needs in the event of a stressed environment .
see 201cliquidity risk management 201d below for details on the composition and sizing of our 201cglobal core liquid assets 201d ( gcla ) , previously global core excess ( gce ) .
in addition to our gcla , we maintain other operating cash balances , primarily for use in specific currencies , entities , or jurisdictions where we do not have immediate access to parent company liquidity .
2030 secured client financing .
we provide collateralized financing for client positions , including margin loans secured by client collateral , securities borrowed , and resale agreements primarily collateralized by government obligations .
as a result of client activities , we are required to segregate cash and securities to satisfy regulatory requirements .
our secured client financing arrangements , which are generally short-term , are accounted for at fair value or at amounts that approximate fair value , and include daily margin requirements to mitigate counterparty credit risk .
2030 institutional client services .
in institutional client services , we maintain inventory positions to facilitate market-making in fixed income , equity , currency and commodity products .
additionally , as part of market- making activities , we enter into resale or securities borrowing arrangements to obtain securities which we can use to cover transactions in which we or our clients have sold securities that have not yet been purchased .
the receivables in institutional client services primarily relate to securities transactions .
2030 investing & lending .
in investing & lending , we make investments and originate loans to provide financing to clients .
these investments and loans are typically longer- term in nature .
we make investments , directly and indirectly through funds that we manage , in debt securities , loans , public and private equity securities , real estate entities and other investments .
2030 other assets .
other assets are generally less liquid , non- financial assets , including property , leasehold improvements and equipment , goodwill and identifiable intangible assets , income tax-related receivables , equity- method investments , assets classified as held for sale and miscellaneous receivables .
goldman sachs 2014 annual report 49 .
label: -0.09731000000000001
qa: answer: -9.7%
ann_table_rows: 5
steps: op: minus2-1
arg1: 230667
arg2: 255534
res: -24867
op: divide2-2
arg1: #0
arg2: 255534
res: -9.7%
program: subtract(230667, 255534), divide(#0, 255534)
gold_inds: table_5: $ in millions the inventory of as of december 2014 is 230667 ; the inventory of as of december 2013 is 255534 ;
exe_ans: -0.09731000000000001
tfidftopn: table_15: $ in millions The total inventory and related assets of as of december 2014 is 432248 ; The total inventory and related assets of as of december 2013 is 435749 ;
text_9: the table below presents our balance sheet allocation. .
program_re: divide(subtract(230667, 255534), 255534)
model_input: table_5
$ in millions the inventory of as of december 2014 is 230667 ; the inventory of as of december 2013 is 255534 ;
table_11
$ in millions the debt1 of as of december 2014 is 24768 ; the debt1 of as of december 2013 is 23274 ;
table_15
$ in millions the total inventory and related assets of as of december 2014 is 432248 ; the total inventory and related assets of as of december 2013 is 435749 ;