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LSM Algorithm for Pricing American Option Under Heston-Hull-White's Stochastic Volatility Model

机译:Heston-Hull-White的随机波动率模型下用于定价美国期权的LSM算法

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摘要

In this paper, we present American option pricing under Heston-Hull-White's stochastic volatility and stochastic interest rate model. To do this, we first discretize the stochastic processes with Euler discretization scheme. Then, we price American option by using least-squares Monte Carlo algorithm. We also compare the numerical results of our model with the Heston-CIR model. Finally, numerical results show the efficiency of the proposed algorithm for pricing American option under the Heston-Hull-White model.
机译:在本文中,我们介绍了根据Heston-Hull-White的随机波动率和随机利率模型​​进行的美国期权定价。为此,我们首先使用Euler离散化方案离散化随机过程。然后,我们使用最小二乘蒙特卡洛算法对美式期权定价。我们还将模型的数值结果与Heston-CIR模型进行比较。最后,数值结果表明了该算法在Heston-Hull-White模型下对美式期权定价的有效性。

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