标题: | 跳跃扩散与随机波动模型下台指选择权之评价-快速傅立叶转换之应用 Jump Diffusion and Stochastic Volatility Pricing Models of TAIEX Index Options: An Application of Fast Fourier Transform |
作者: | 涂登才 劉祥熹 Teng-Tsai Tu Hsiang-Hsi Liu Institute of Business and Management 经营管理研究所 |
关键字: | 跳跃-扩散;随机波动;SVJ模型;蒙地卡羅模拟法;快速傅利葉转换;Jump-diffusion;Stochastic Volatility;SVJ Model;Monte Carlo simulation;Fast Fourier Transform |
公开日期: | 1-四月-2012 |
摘要: | 本文旨在应用快速傅利葉转换法针对跳跃-扩散、随机波动及混合模型等修正后选择权评价模型以选择权评价误差模式分别进行其样本内模型配适度分析与样本外预测能力分析。实证结果显示相对于蒙地卡羅模拟法,跳跃-扩散、随机波动及混合模型等修正后选择权评价模型为显着较优之台指选择权评价模型。样本内模型配适度之评价误差分析方面,其实证结果显示大抵系以随机波动模型或混合模型为显着较优之台指选择权评价模型。样本外预测能力之评价误差分析方面,1日样本外预测除次近月选择权外,整体、近月及远月选择权大抵亦以随机波动模型或混合模型为显着较优之台指选择权评价模型,其中买权与卖权大抵分别以随机波动模型及混合模型为显着较优之台指选择权评价模型。5日、10日及20日样本外预测中,买权大抵系以混合模型为显着相对较优之台指选择权评价模型,而卖权则系以随机波动模型及混合模型为显着相对较优之台指选择权评价模型。 The 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. |
URI: | http://hdl.handle.net/11536/107861 |
ISSN: | 1023-9863 |
期刊: | 管理与系统 Journal of Management and Systems |
Volume: | 19 |
Issue: | 2 |
起始页: | 201 |
结束页: | 230 |
显示于类别: | Journal of Management and System |
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