A numerical method for American options pricing on assets under the Heston stochastic volatility model is developed.A preliminary transformation is applied to remove the mixed derivative term avoiding known numerical ...A numerical method for American options pricing on assets under the Heston stochastic volatility model is developed.A preliminary transformation is applied to remove the mixed derivative term avoiding known numerical drawbacks and reducing computational costs.Free boundary is treated by the penalty method.Transformed nonlinear partial differential equation is solved numerically by using the method of lines.For full discretization the exponential time differencing method is used.Numerical analysis establishes the stability and positivity of the proposed method.The numerical convergence behaviour and effectiveness are investigated in extensive numerical experiments.展开更多
In this paper,a rough Heston model with variable volatility of volatility(vol-of-vol)is derived by modifying the generalized nonlinear Hawkes process and extending the scaling techniques.Then the nonlinear fractional ...In this paper,a rough Heston model with variable volatility of volatility(vol-of-vol)is derived by modifying the generalized nonlinear Hawkes process and extending the scaling techniques.Then the nonlinear fractional Ric-cati equation for the characteristic function of the asset log-price is derived.The existence,uniqueness and regularity of the solution to the nonlinear fractional Riccati equation are proved and the equation is solved by the Adams methods.Finally the Fourier-cosine methods are combined with the Adams methods to price the options.展开更多
One goal of financial research is to determine fair prices on the financial market.As financial models and the data sets on which they are based are becoming ever larger and thus more complex,financial instruments mus...One goal of financial research is to determine fair prices on the financial market.As financial models and the data sets on which they are based are becoming ever larger and thus more complex,financial instruments must be further developed to adapt to the new complexity,with short runtimes and efficient use of memory space.Here we show the effects of combining known strategies and incorporating new ideas to further improve numerical techniques in computational finance.In this paper we combine an ADI(alternating direction implicit)scheme for the temporal discretization with a sparse grid approach and the combination technique.The later approach considerably reduces the number of“spatial”grid points.The presented standard financial problem for the valuation of American options using the Heston model is chosen to illustrate the advantages of our approach,since it can easily be adapted to other more complex models.展开更多
【目的】为使Heston(赫斯顿)模型能更细致地刻画标的资产价格演变规律以应对复杂多变的金融市场,提出了带跳的非仿射粗糙Heston模型。【方法】首先用傅里叶余弦级数(Fourier Cosine Series Expansion,Fourier-Cosine)方法分离期权密度...【目的】为使Heston(赫斯顿)模型能更细致地刻画标的资产价格演变规律以应对复杂多变的金融市场,提出了带跳的非仿射粗糙Heston模型。【方法】首先用傅里叶余弦级数(Fourier Cosine Series Expansion,Fourier-Cosine)方法分离期权密度函数和特征函数,用扰动法转化非线性偏积分微分方程,并用Adams-Bashforth-Moulton(亚当斯-巴什福斯-默尔顿)预测-校正法求解分数黎卡提方程,从而得到欧式看涨期权定价公式;然后用蒙特卡洛模拟结果验证解的有效性;最后分析了模型非仿射参数、粗糙参数和跳幅度参数对期权价格的影响,并对比了不同模型的定价结果。【结果】数值解与蒙特卡洛模拟结果相对误差为0.01%~0.2%,非仿射参数、粗糙参数和跳幅度参数对模型有不同程度的影响同时又相互制约。【结论】本模型刻画标的资产价格变化规律更具灵活性和多样性,从而为期权定价提供了理论支撑。展开更多
基金This work has been supported by the Spanish Ministerio de Economía,Industria y Competitividad(MINECO),the Agencia Estatal de Investigación(AEI)and Fondo Europeo de Desarrollo Regional(FEDER UE)grant MTM2017-89664-P.
文摘A numerical method for American options pricing on assets under the Heston stochastic volatility model is developed.A preliminary transformation is applied to remove the mixed derivative term avoiding known numerical drawbacks and reducing computational costs.Free boundary is treated by the penalty method.Transformed nonlinear partial differential equation is solved numerically by using the method of lines.For full discretization the exponential time differencing method is used.Numerical analysis establishes the stability and positivity of the proposed method.The numerical convergence behaviour and effectiveness are investigated in extensive numerical experiments.
基金supported by National Natural Science Foundation of China (No. 12171 122)Shenzhen Science and Technology Program (No. RCJC20210609103755110)+1 种基金Fundamental Research Project of Shenzhen (No. JCYJ20190806143201649)supported by National Natural Science Foundation of China (Grant No. 12071373).
文摘In this paper,a rough Heston model with variable volatility of volatility(vol-of-vol)is derived by modifying the generalized nonlinear Hawkes process and extending the scaling techniques.Then the nonlinear fractional Ric-cati equation for the characteristic function of the asset log-price is derived.The existence,uniqueness and regularity of the solution to the nonlinear fractional Riccati equation are proved and the equation is solved by the Adams methods.Finally the Fourier-cosine methods are combined with the Adams methods to price the options.
基金supported by the bilateral German-Slovakian Project MATTHIAS–Modelling and Approximation Tools and Techniques for Hamilton-Jacobi-Bellman equations in finance and Innovative Approach to their Solution,financed by DAAD and the Slovakian Ministry of Education.Further the authors acknowledge partial support from the bilateral German-Portuguese Project FRACTAL–FRActional models and CompuTationAL Finance financed by DAAD and the CRUP–Conselho de Reitores das Universidades Portuguesas.
文摘One goal of financial research is to determine fair prices on the financial market.As financial models and the data sets on which they are based are becoming ever larger and thus more complex,financial instruments must be further developed to adapt to the new complexity,with short runtimes and efficient use of memory space.Here we show the effects of combining known strategies and incorporating new ideas to further improve numerical techniques in computational finance.In this paper we combine an ADI(alternating direction implicit)scheme for the temporal discretization with a sparse grid approach and the combination technique.The later approach considerably reduces the number of“spatial”grid points.The presented standard financial problem for the valuation of American options using the Heston model is chosen to illustrate the advantages of our approach,since it can easily be adapted to other more complex models.
文摘【目的】为使Heston(赫斯顿)模型能更细致地刻画标的资产价格演变规律以应对复杂多变的金融市场,提出了带跳的非仿射粗糙Heston模型。【方法】首先用傅里叶余弦级数(Fourier Cosine Series Expansion,Fourier-Cosine)方法分离期权密度函数和特征函数,用扰动法转化非线性偏积分微分方程,并用Adams-Bashforth-Moulton(亚当斯-巴什福斯-默尔顿)预测-校正法求解分数黎卡提方程,从而得到欧式看涨期权定价公式;然后用蒙特卡洛模拟结果验证解的有效性;最后分析了模型非仿射参数、粗糙参数和跳幅度参数对期权价格的影响,并对比了不同模型的定价结果。【结果】数值解与蒙特卡洛模拟结果相对误差为0.01%~0.2%,非仿射参数、粗糙参数和跳幅度参数对模型有不同程度的影响同时又相互制约。【结论】本模型刻画标的资产价格变化规律更具灵活性和多样性,从而为期权定价提供了理论支撑。
