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    政大機構典藏 > 商學院 > 統計學系 > 期刊論文 >  Item 140.119/129100


    请使用永久网址来引用或连结此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/129100


    题名: Stock Index Options Pricing under Jump Patterns Driven by Market States
    作者: 劉惠美*
    Liu, Huimei
    Lin, Chao-Yang
    Lee, Jia-Ching
    Lin, Shih-Kuei
    贡献者: 統計系
    关键词: characteristic function pricing approach; Esscher transform; jump-diffusion process with modulated frequency and amplitude; volatility clustering; volatility smile
    日期: 2019-02
    上传时间: 2020-03-04 15:30:50 (UTC+8)
    摘要: This article reports that both jump amplitudes and arrival rates are related to the economic states in the DJX and the SPX markets. It then proposes a jump-diffusion process model with modulated frequency and amplitude (JD-MF-MA) to depict these patterns. Using this model, we also derive a closed-form formula for the European index option through the characteristic function pricing approach. The empirical results show that the model with modulated jumps not only captures the characteristics of returns but also improves pricing performance. Overall, the modulated jump should be the default modeling choice for derivatives pricing models.
    關聯: Emerging Markets Finance and Trade, pp.1-20
    数据类型: article
    DOI 連結: https://doi.org/10.1080/1540496X.2018.1563778
    DOI: 10.1080/1540496X.2018.1563778
    显示于类别:[統計學系] 期刊論文

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