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Pricing European options with stochastic volatility under the minimal entropy martingale measure

机译:在最小熵mar测度下具有随机波动率的欧洲期权定价

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摘要

In this paper, a closed-form pricing formula in the form of an infinite series for European call options is derived for the Heston stochastic volatility model under a chosen martingale measure. Given that markets with the stochastic volatility are incomplete, there exists a number of equivalent martingale measures and consequently investors face a problem of making a choice of appropriate measure when they price options. The one we adopt here is the so-called minimal entropy martingale measure shown to be related to the expected utility maximization theory (Frittelli 2000 Math. Finance 10(1), 39-52) and the financial rationality for choosing this measure will be further illustrated in this paper. A great advantage of our newly-derived pricing formula is that the convergence of the solution in series form can be proved theoretically; such a proof of the convergence is also complemented by some numerical examples to demonstrate the speed of convergence. To further show the validity of our formula, a comparison of prices calculated through the newly derived formula is made with those obtained directly from the Monte Carlo simulation as well as those from solving the PDE (partial differential equation) with the finite difference method.
机译:在本文中,针对选择的mar测度下的Heston随机波动率模型,得出了欧洲看涨期权的无穷级形式的闭式定价公式。鉴于具有随机波动性的市场是不完整的,因此存在许多等效的measures测度,因此,投资者在定价期权时面临选择适当测度的问题。我们在这里采用的是所谓的最小熵mar测度,该测度与预期效用最大化理论相关(Frittelli 2000 Math。Finance 10(1),39-52),选择该测度的财务合理性将进一步提高本文说明。我们新推导的定价公式的一大优势是,可以从理论上证明序列形式的解的收敛性;这样的收敛证明还可以通过一些数值示例来补充,以证明收敛速度。为了进一步证明我们公式的有效性,将通过新推导的公式计算出的价格与直接从蒙特卡洛模拟获得的价格以及通过有限差分法求解PDE(偏微分方程)的价格进行了比较。

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