S&P 500 지수의 변동성 예측을 통한 주식연계연금의 VaR 측정
KCI
- Title
- S&P 500 지수의 변동성 예측을 통한 주식연계연금의 VaR 측정
- Authors
- 김광익; 최선용
- Date Issued
- 2017-03
- Publisher
- 한국금융공학회
- Abstract
- This paper provides empirical results showing Value-at-Risk(VaR) for equity-linked annuities(ELA) calculated by different volatility models: GARCH, EGARCH, and GJR-GARCH models. We will use two procedures to calculate VaR for ELA.
The first procedure examines the performance of various GARCH-type models with regard to forecasting the future volatility of S\&P 500 index daily returns. We use the three GARCH-type models mentioned above to forecast volatility. To further the robustness of estimating results, we compare the empirical performances of the three GARCH-type models for the both in-sample and out-of-sample tests. The second is to calculate VaR for S\&P 500 index return and ELA using the forecasting results of each GARCH-type model. We also calculate the value of ELA and VaR under the Student's t-distribution. Additionally, we analyze the effect of contract terms of ELA on the VaR in this procedure.
- Keywords
- Forecase; Volatility; GARCH; EGARCH; GJR-GARCH; S&P 500 index; Equity-Linkd Annuity; 변동성 예측; GARCH; E-GARCH; GJR-GARCH; S&P 지수; 주식연계연금
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/92127
- ISSN
- 1738-124X
- Article Type
- Article
- Citation
- 金融工學硏究, vol. 16, no. 1, page. 115 - 149, 2017-03
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