制度转换模型下美国期权定价的通用方法

IF 1.9 3区 工程技术 Q3 MANAGEMENT
Yawen Zheng, Song-Ping Zhu
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引用次数: 0

摘要

在过去的十年中,区间转换模型由于其独特的优势,即以离散的方式而不是像随机波动率模型那样以连续的方式来模拟不同的金融市场状态而备受青睐。当它们被用于期权定价时,其明显的优势在于它们可以为特定市场动态校准模型提供更大的参数空间,从而在利用金融衍生品方面实现更好的定量风险管理。然而,当它们被用于为美式金融衍生品定价时,大量的经济状况导致了对提高计算效率的需求。本文提供了一种计算效率极高的新算法,并辅以一个定理对相关矩阵及其特征值进行预分析,而无需担心由于四舍五入错误或原始系统中存在两个位置极其接近的单根而将重复根误认为单根的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A generalized approach for pricing american options under a regime-switching model
Regime-switching models gained their popularity over the past decade because of their distinctive advantage of modelling different financial market statuses in a discrete manner rather than a continuous manner as in stochastic volatility models. When they are used in option pricing, the clear advantage is that they enable a larger parameter space for models to be calibrated for a specific market dynamics and thus allow a better quantitative risk management in terms of utilizing financial derivatives. However, when they are used to price American-style financial derivatives, a large number of economic statuses result in a demand for improved computational efficiency. This paper provides a new algorithm of high computational efficiency supplemented with a theorem that pre-analyzes the associated matrices and their eigenvalues, without concern about the possibility of duplicated roots being mistakenly identified as simple roots due to rounding errors or the presence of two extremely closely positioned simple roots within the original system.
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来源期刊
IMA Journal of Management Mathematics
IMA Journal of Management Mathematics OPERATIONS RESEARCH & MANAGEMENT SCIENCE-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
4.70
自引率
17.60%
发文量
15
审稿时长
>12 weeks
期刊介绍: The mission of this quarterly journal is to publish mathematical research of the highest quality, impact and relevance that can be directly utilised or have demonstrable potential to be employed by managers in profit, not-for-profit, third party and governmental/public organisations to improve their practices. Thus the research must be quantitative and of the highest quality if it is to be published in the journal. Furthermore, the outcome of the research must be ultimately useful for managers. The journal also publishes novel meta-analyses of the literature, reviews of the "state-of-the art" in a manner that provides new insight, and genuine applications of mathematics to real-world problems in the form of case studies. The journal welcomes papers dealing with topics in Operational Research and Management Science, Operations Management, Decision Sciences, Transportation Science, Marketing Science, Analytics, and Financial and Risk Modelling.
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