利用多步骤回扣期权对美式期权进行估值

IF 3.8 3区 经济学 Q1 BUSINESS, FINANCE North American Journal of Economics and Finance Pub Date : 2024-07-13 DOI:10.1016/j.najef.2024.102227
Hangsuck Lee , Hongjun Ha , Gaeun Lee , Minha Lee
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引用次数: 0

摘要

确定最佳行权边界是美式期权定价的一个关键方面,而这通常需要成本高昂的数值方法。本文提出了一种新方法,利用多步回扣期权来逼近美式期权价格。由于回扣期权会在触及多步界限时提供回报,因此美式期权的价格是通过最大化多步回扣期权价格来估算的,而最优多步界限则取代了真正的最优行权界限。为此,我们推导出了多步回扣期权的闭式定价公式,并利用这些公式近似计算了几种美式期权的价格。通过大量的数值实验,我们证明了我们方法的有效性和性能。
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Valuing American options using multi-step rebate options

The determination of optimal exercise boundaries is a critical aspect of pricing American options, which often requires costly numerical methods. This paper proposes a new approach that employs multi-step rebate options to approximate American option prices. Since the rebate options offer payoffs when the multi-step boundaries are touched, the prices of American options are estimated by maximizing the multi-step rebate option prices, and the optimal multi-step barriers replace the true optimal exercise boundaries. To this end, the closed-form pricing formulas for multi-step rebate options are derived and utilized to approximate several American option prices. Through extensive numerical experiments, we demonstrate the validity and performance of our approach.

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来源期刊
CiteScore
7.30
自引率
8.30%
发文量
168
期刊介绍: The focus of the North-American Journal of Economics and Finance is on the economics of integration of goods, services, financial markets, at both regional and global levels with the role of economic policy in that process playing an important role. Both theoretical and empirical papers are welcome. Empirical and policy-related papers that rely on data and the experiences of countries outside North America are also welcome. Papers should offer concrete lessons about the ongoing process of globalization, or policy implications about how governments, domestic or international institutions, can improve the coordination of their activities. Empirical analysis should be capable of replication. Authors of accepted papers will be encouraged to supply data and computer programs.
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