Pricing SPX and DIX by HAR models

Yow Jen Jou, Chih Wei Wang, Wan Chien Chiu

研究成果: 雜誌貢獻期刊論文同行評審

1 引文 斯高帕斯(Scopus)

摘要

Previous studies have documented that, with use of high-frequency data, the Heteroskedasticity AR (HAR- RV) model performs better than other models in fitting financial return volatility measurement and has a more accurate forecasting ability. However, to our knowledge, no previous studies have investigated whether HAR-RV model can improve option pricing performance in financial markets. This study compares HAR-RV model and EGARCH model in terms of option pricing performance. As expected, the results of this study demonstrate that HAR-RV model is more accurate than EGARCH model in terms of S&P500 Index options (SPX) and Dow Jones Index options (DIX).

原文???core.languages.en_GB???
頁(從 - 到)10-20
頁數11
期刊International Journal of Computational Science and Engineering
5
發行號1
DOIs
出版狀態已出版 - 2010

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