Is the realized volatility good for option pricing during the recent financial crisis?

NCUIR > School of Management at National Central University > Department of Finance > journal & Dissertation > Item 987654321/104913

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/104913

Title:	Is the realized volatility good for option pricing during the recent financial crisis?
Authors:	王志瑋;Jou, Yow-Jen;Wang, Chih-Wei;Chiu, Wan-Chien
Contributors:	管理學院財務金融學系
Keywords:	Accounting/Auditing;Capital market;Corporate Finance;Econometrics;Economic crisis;Economics and Finance;Empirical research;Finance;Financial crisis;GARCH models;Markets;Operations Research/Decision Theory;Option pricing;Options markets;Options trading;Original Research;Prices;Securities prices;Stochastic models;Studies;Time series;Valuation;Volatility
Date:	2013-01-01
Issue Date:	2026-04-23 12:01:23 (UTC+8)
Publisher:	Springer New York;Boston: Springer US
Abstract:	摘要： The contributions of this paper are threefold. The first contribution is the proposed logarithmic HAR (log-HAR) option-pricing model, which is more convenient compared with other option pricing models associated with realized volatility in terms of simpler estimation procedure. The second contribution is the test of the empirical implications of heterogeneous autoregressive model of the realized volatility (HAR)-type models in the S&P 500 index options market with comparison of the non-linear asymmetric GARCH option-pricing model, which is the best model in pricing options among generalized autoregressive conditional heteroskedastic-type models. The third contribution is the empirical analysis based on options traded from July 3, 2007 to December 31, 2008, a period covering a recent financial crisis. Overall, the HAR-type models successfully predict out-of-sample option prices because they are based on realized volatilities, which are closer to the expected volatility in financial markets. However, mixed results exist between the log-HAR and the heterogeneous auto-regressive gamma models in pricing options because the former is better than the latter in times of turmoil, whereas it is worse during the rather stable periods. 其他題名： Rev Quant Finan Acc 出版者： Boston: Springer US 出版日期： 2013-01 出處： Review of quantitative finance and accounting, 2013-01, Vol.40 (1), p.171-188 資源來源： SpringerLink Journals 版權： Springer Science+Business Media, LLC 2012 版權： Springer Science+Business Media New York 2013 識別號： ISSN: 0924-865X 識別號： EISSN: 1573-7179 識別號： DOI: 10.1007/s11156-012-0285-0
Appears in Collections:	[Department of Finance] journal & Dissertation

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