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Sample path generation of the stochastic volatility CGMY process and its application to path-dependent option pricing

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 نشر من قبل Young Shin Kim
 تاريخ النشر 2021
  مجال البحث مالية
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 تأليف Young Shin Kim




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This paper proposes the sample path generation method for the stochastic volatility version of CGMY process. We present the Monte-Carlo method for European and American option pricing with the sample path generation and calibrate model parameters to the American style S&P 100 index options market, using the least square regression method. Moreover, we discuss path-dependent options such as Asian and Barrier options.



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