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Bi-Cubic B-Spline Fitting-Based Local Volatility Model with Mean Reversion Process 被引量:1
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作者 ZHOU Shifei WANG Hao +1 位作者 YEN Jerome LAI Kin Keung 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2016年第1期119-132,共14页
This paper studies the traditional local volatility model and proposes:A novel local volatility model with mean-reversion process.The larger is the gap between local volatility and its mean level,the higher will be th... This paper studies the traditional local volatility model and proposes:A novel local volatility model with mean-reversion process.The larger is the gap between local volatility and its mean level,the higher will be the rate at which local volatility will revert to the mean.Then,a B-spline method with proper knot control is applied to interpolate the local volatility matrix.The bi-cubic B-spline is used to recover the local volatility surface from this local volatility matrix.Finally,empirical tests show that the proposed mean-reversion local volatility model offers better prediction performance than the traditional local volatility model. 展开更多
关键词 Bi-cubic B-spline local volatility mean reversion surface fitting
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