A study of American option pricing for uncertain currency models with exponential O–U process

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED
Lujun Zhou , Youfang Wang , Wei Wang , Xiaolan Yin
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引用次数: 0

Abstract

This paper prices American call and put options using a novel uncertain currency model. The model integrates the uncertain Vasicek interest rate term structure with the uncertain exponential Ornstein–Uhlenbeck exchange rate process, effectively capturing the dynamic changes in financial markets. Using the α-path method, the study derives pricing formulas for American call and put options. The model parameters are precisely estimated using the residual-based moment estimation method, and the robustness and applicability of the model are validated through goodness-of-fit tests. The results show that option prices are significantly dependent on parameters such as the initial exchange rate, interest rates, and strike price, and the model fits actual data well. This research not only provides a new theoretical basis for financial derivative pricing but also offers valuable insights for investors’ decision-making in uncertain market environments, holding significant academic and practical importance.
指数O-U过程下不确定货币模型的美式期权定价研究
本文采用一种新的不确定货币模型对美式看涨期权和看跌期权进行定价。该模型将不确定的Vasicek利率期限结构与不确定的指数Ornstein-Uhlenbeck汇率过程相结合,有效地捕捉了金融市场的动态变化。运用α-路径法,推导出美式看涨期权和看跌期权的定价公式。利用残差矩估计方法对模型参数进行了精确估计,并通过拟合优度检验验证了模型的鲁棒性和适用性。结果表明,期权价格对初始汇率、利率和行权价格等参数有显著的依赖性,模型与实际数据拟合良好。本研究不仅为金融衍生品定价提供了新的理论基础,而且为投资者在不确定市场环境下的决策提供了有价值的见解,具有重要的学术和现实意义。
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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