AmazonScience/document-haystack
Document Haystack Dataset This repository contains the dataset for the paper “Document Haystack: A Long Context Multimodal Image/Document Understanding Vision LLM Benchmark”. 📑 Abstract Paper The proliferation of multimodal Large Language Models has significantly advanced the ability to analyze and understand complex data inputs from different modalities. However, the processing of long documents remains under-explored, largely due to a lack of suitable… See the full description on the dataset page: https://huggingface.co/datasets/AmazonScience/document-haystack.
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1VALUATION OF EMBEDDED DERIVATIVES FOR FIXED INDEX ANNUITY AND INDEX UNIVERSAL LIFE 2PRODUCTS3Fixed index annuity and life products provide growth potential based in part on the performance of market indices. Certain fixed index 4annuity products offer optional guaranteed benefit features similar to those offered on variable annuity products. Policyholders may 5elect to rebalance among the various accounts within the product at specified renewal dates. At the end of each index term, we 6generally have the opportunity to re-price the index component by establishing different participation rates or caps on index credited 7rates. The index crediting feature of these products results in the recognition of an embedded derivative that is required to be 8bifurcated from the host contract and carried at fair value with changes in the fair value of the liabilities recorded in Net realized gains 9(losses). Option pricing models are used to estimate fair value, taking into account assumptions for future index growth rates, volatility 10of the index, future interest rates, and our ability to adjust the participation rate and the cap on index credited rates in light of market 11conditions and policyholder behavior assumptions.12For additional information on market risk management related to these product features, see Enterprise Risk Management – 13Insurance Risks – Life and Retirement Companies’ Key Risks – Variable Annuity, Fixed Index Annuity and Index Universal Life Risk 14Management and Hedging Programs.15The following table summarizes the sensitivity of changes in certain assumptions for MRBs, liability for Future policyholder 16benefits, net of reinsurance and embedded derivatives related to index-linked interest credited features, measured as the 17related hypothetical impact for the December 31, 2023 balances and the resulting hypothetical impact on pre-tax income and 18OCI, before hedging:19December 31, 202320Increase (Decrease) Due to Changes in MRBs, 21Liability for Future Policyholder Benefits, and 22Embedded Derivatives Related to Index-Linked 23Interest Credited Features24Pre-Tax25Income26Other27Comprehensive28Income (Loss)29Impact(in millions)30Assumptions:31Equity Return(a)32Effect of an increase by 20% $ 157 $ 153 33Effect of a decrease by 20% (238) (126) 34Interest Rate(b)35Effect of an increase by 1% 2,323 2,920 36Effect of a decrease by 1% (3,087) (3,514) 37(a) Represents the net impact of a 20 percent increase or decrease in the S&P 500 index.38(b) Represents the net impact of one percent parallel shift in the yield curve.39The sensitivities of 20 percent and one percent are included for illustrative purposes only and do not reflect the changes in net 40investment spreads, equity return, volatility, interest rate, mortality or lapse used by AIG in its fair value analyses to value other 41applicable liabilities. Changes different from those illustrated may occur in any period and by different products.42The change in pre-tax income due to variances in equity returns or interest rates reflects the impact to MRBs using the at-issue Non-43performance Risk Adjustment (NPA) and the change in embedded derivatives related to index-linked interest credit features. The 44change in OCI due to equity returns solely reflects the impact on MRBs due to changes in the NPA, while the change in OCI due to 45interest rates also reflects the impact to the Liability for future policyholder benefits, net of reinsurance.46The analysis of MRBs and embedded derivatives is a dynamic process that considers all relevant factors and assumptions described 47above. We estimate each of the above factors individually, without the effect of any correlation among the key assumptions. An 48assessment of sensitivity associated with changes in any single assumption would not necessarily be an indicator of future results. 49The effects on pre-tax income in the sensitivity analysis table above do not reflect the related effects from our economic hedging 50program, which utilizes derivative and other financial instruments and is designed so that changes in value of those instruments move 51in the opposite direction of changes in the guaranteed benefit MRBs and embedded derivative liabilities.52For additional information on guaranteed benefit features of our variable annuities and the related hedging program, see Notes 5, 9, 5313 and 14 to the Consolidated Financial Statements.54ITEM 7 | Critical Accounting Estimates55AIG | 2023 Form 10-K 5556The secret animal #1 is a "dog".