AN IMEX-BASED APPROACH FOR THE PRICING OF EQUITY WARRANTS UNDER FRACTIONAL BROWNIAN MOTION MODELS

IF 0.9
Wenting Chen, Xiaoying Jiang
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Abstract

Abstract In this paper, the pricing of equity warrants under a class of fractional Brownian motion models is investigated numerically. By establishing a new nonlinear partial differential equation (PDE) system governing the price in terms of the observable stock price, we solve the pricing system effectively by a robust implicit-explicit numerical method. This is fundamentally different from the documented methods, which first solve the price with respect to the firm value analytically, by assuming that the volatility of the firm is constant, and then compute the price with respect to the stock price and estimate the firm volatility numerically. It is shown that the proposed method is stable in the maximum-norm sense. Furthermore, a sharp theoretical error estimate for the current method is provided, which is also verified numerically. Numerical examples suggest that the current method is efficient and can produce results that are, overall, closer to real market prices than other existing approaches. A great advantage of the current method is that it can be extended easily to price equity warrants under other complicated models.
分数布朗运动模型下权证定价的一种基于图像的方法
本文对一类分数阶布朗运动模型下的权证定价问题进行了数值研究。通过建立一个新的以可观察股票价格为变量的非线性偏微分方程(PDE)定价系统,利用鲁棒的隐显数值方法有效地求解了该定价系统。这与文献记载的方法根本不同,文献记载的方法首先通过假设公司的波动率是常数来解析地解决公司价值的价格,然后计算相对于股票价格的价格,并以数值方式估计公司的波动率。结果表明,该方法在最大范数意义上是稳定的。此外,对现有方法给出了一个明显的理论误差估计,并进行了数值验证。数值例子表明,目前的方法是有效的,总的来说,与其他现有方法相比,可以产生更接近实际市场价格的结果。现有方法的一大优点是可以很容易地扩展到其他复杂模型下的权证定价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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