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題名:Predictive Power of Option-Implied Densities from High-Frequency Data
書刊名:財務金融學刊
作者:曾祺峰 引用關係Taylor, Stephen J.Widdicks, Martin
作者(外文):Tzeng, Chi-feng
出版日期:2016
卷期:24:1
頁次:頁1-24
主題關鍵詞:風險中立密度預測躍動動態財務危機Risk-neutral density predictionRND predictionJump dynamicsFinancial crisis
原始連結:連回原系統網址new window
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  • 共同引用共同引用:2
  • 點閱點閱:8
以Duffie、Pan 與Singleton (2000) 之SVCJ 模型從2005 至2009 年估計日頻與高頻 FTSE 100 指數選擇權契約。發現金融海嘯期間較金融危機前:(1) 變異躍動與價格躍動的關係 更為反向;(2) 價格躍動平均數更負;(3) 價格躍動之變異數及變異躍動之平均數更大;(4) 躍 動發生頻率更高。實證指出:(1) 高頻資料提供較優的預測力;(2) 預測期間等於選擇權到期期 間時,預測力較佳。
Duffie, Pan, and Singleton’s (2000) model is used to estimate implied densities using daily and high-frequency FTSE 100 index option contracts from 2005 to 2009. The empirical results suggest the following phenomena during the financial crisis: (1) more negative relationships between variance jumps and price jumps; (2) a larger magnitude of the negative mean of price jumps; (3) a larger variance of price jumps and a larger mean of variance jumps; and (4) a higher jump intensity. Further findings are as follows: (1) high-frequency data provide superior predictive power; and (2) RNDs exhibit satisfactory predictive power for option expiration dates.
期刊論文
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