期刊論文
學年 | 102 |
---|---|
學期 | 2 |
出版(發表)日期 | 2014-04-28 |
作品名稱 | VaR/CVaR Estimation under Stochastic Volatility Models |
作品名稱(其他語言) | |
著者 | Chuan-Hsiang Han; Wei-Han Liu; Tzu-Ying Chen |
單位 | |
出版者 | |
著錄名稱、卷期、頁數 | International Journal of Theoretical and Applied Finance 17(2), 1450009 |
摘要 | This paper proposes an improved procedure for stochastic volatility model estimation with an application to Value-at-Risk (VaR) and Conditional Value-at-Risk (CVaR) estimation. This improved procedure is composed of the following instrumental components: Fourier transform method for volatility estimation, and importance sampling for extreme event probability estimation. The empirical analysis is based on several foreign exchange series and the S&P 500 index data. In comparison with empirical results by RiskMetrics, historical simulation, and the GARCH(1,1) model, our improved procedure outperforms on average. |
關鍵字 | Stochastic volatility;Fourier transform method;importance sampling;(conditional) Value-at-Risk;backtesting |
語言 | en |
ISSN | 1793-6322 |
期刊性質 | 國外 |
收錄於 | |
產學合作 | |
通訊作者 | |
審稿制度 | 是 |
國別 | SGP |
公開徵稿 | |
出版型式 | ,電子版 |
相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/121418 ) |