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dc.contributor.author涂登才en_US
dc.contributor.author劉祥熹en_US
dc.contributor.authorTeng-Tsai Tuen_US
dc.contributor.authorHsiang-Hsi Liuen_US
dc.date.accessioned2015-01-12T12:53:08Z-
dc.date.available2015-01-12T12:53:08Z-
dc.date.issued2012-04-01en_US
dc.identifier.issn1023-9863en_US
dc.identifier.urihttp://hdl.handle.net/11536/107861-
dc.description.abstract本文旨在應用快速傅利葉轉換法針對跳躍-擴散、隨機波動及混合模型等修正後選擇權評價模型以選擇權評價誤差模式分別進行其樣本內模型配適度分析與樣本外預測能力分析。實證結果顯示相對於蒙地卡羅模擬法,跳躍-擴散、隨機波動及混合模型等修正後選擇權評價模型為顯著較優之臺指選擇權評價模型。樣本內模型配適度之評價誤差分析方面,其實證結果顯示大抵係以隨機波動模型或混合模型為顯著較優之臺指選擇權評價模型。樣本外預測能力之評價誤差分析方面,1日樣本外預測除次近月選擇權外,整體、近月及遠月選擇權大抵亦以隨機波動模型或混合模型為顯著較優之臺指選擇權評價模型,其中買權與賣權大抵分別以隨機波動模型及混合模型為顯著較優之臺指選擇權評價模型。5日、10日及20日樣本外預測中,買權大抵係以混合模型為顯著相對較優之臺指選擇權評價模型,而賣權則係以隨機波動模型及混合模型為顯著相對較優之臺指選擇權評價模型。zh_TW
dc.description.abstractThe purpose of this study is to apply fast Fourier transform to investigate in-sample goodness of fit and out-of-sample prediction performance of three modified options pricing models, including jump-diffusion model, stochastic volatility model and stochastic volatility with jump model, through options pricing error analysis. The overall empirical results indicate that three modified options pricing models outperform Monte Carlo simulation method through the analysis of in-sample goodness of fit and out-of-sample prediction performance. The empirical results of in-sample goodness of fit indicate that the stochastic volatility and stochastic volatility with jump models are significantly superior pricing models of TAIEX index options. The empirical results of one-day out-of-sample prediction performance reveal that in addition to next-near-month options contracts, the stochastic volatility and stochastic volatility with jump models also are significantly superior pricing models of TAIEX index options of overall, near-month and far-month options contracts. The stochastic volatility and stochastic volatility with jump models are significantly superior pricing models of TAIEX index options for call and put options, respectively. Finally, the empirical results of five-day, ten-day and twenty-day out-of-sample prediction performance indicate that the stochastic volatility with jump model is significantly superior pricing model of TAIEX index options for calls, while the stochastic volatility and stochastic volatility with jump models are significantly superior pricing models of TAIEX index options for puts.en_US
dc.subject跳躍-擴散zh_TW
dc.subject隨機波動zh_TW
dc.subjectSVJ模型zh_TW
dc.subject蒙地卡羅模擬法zh_TW
dc.subject快速傅利葉轉換zh_TW
dc.subjectJump-diffusionzh_TW
dc.subjectStochastic Volatilityzh_TW
dc.subjectSVJ Modelzh_TW
dc.subjectMonte Carlo simulationzh_TW
dc.subjectFast Fourier Transformzh_TW
dc.title跳躍擴散與隨機波動模型下台指選擇權之評價-快速傅立葉轉換之應用zh_TW
dc.titleJump Diffusion and Stochastic Volatility Pricing Models of TAIEX Index Options: An Application of Fast Fourier Transformen_US
dc.identifier.journal管理與系統zh_TW
dc.identifier.journalJournal of Management and Systemsen_US
dc.citation.volume19en_US
dc.citation.issue2en_US
dc.citation.spage201en_US
dc.citation.epage230en_US
dc.contributor.departmentInstitute of Business and Managementen_US
dc.contributor.department經營管理研究所zh_TW
顯示於類別:管理與系統


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