经典期权定价的替代方案

IF 4.4 3区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Annals of Operations Research Pub Date : 2024-09-02 DOI:10.1007/s10479-024-06213-z
W. Brent Lindquist, Svetlozar T. Rachev
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引用次数: 0

摘要

我们开发了两种无套利、市场完全、期权定价的替代方法。第一种方法不需要无风险资产。我们为这种方法制定了一般框架,并用两个具体例子加以说明。第二种方法确实使用了无风险资产。然而,通过确保现实世界和风险中性价格变化概率之间的相等,第二种方法可以利用自然世界概率下的预期来计算风险中性期权价格。这种方法产生的期权价格与经典方法中根据风险中性度量计算的价格是一样的。第二种方法和第一种方法的两个具体例子需要引入新的、可销售的资产类型,特别是股票的永 久衍生品和累计收益(而不是价格)被缩减的股票。这两种资产类型是专门为那些无法获得主权无风险利率或对利用银行间利率(如 SOFR)犹豫不决的套期保值者设计的。
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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Alternatives to classical option pricing

We develop two alternate approaches to arbitrage-free, market-complete, option pricing. The first approach requires no riskless asset. We develop the general framework for this approach and illustrate it with two specific examples. The second approach does use a riskless asset. However, by ensuring equality between real-world and risk-neutral price-change probabilities, the second approach enables the computation of risk-neutral option prices utilizing expectations under the natural world probability \({\mathbb{P}}\). This produces the same option prices as the classical approach in which prices are computed under the risk neutral measure \({\mathbb{Q}}\). The second approach and the two specific examples of the first approach require the introduction of new, marketable asset types, specifically perpetual derivatives of a stock, and a stock whose cumulative return (rather than price) is deflated. These two asset types are designed specifically for hedgers who don’t have access to sovereign riskless rates or may be hesitant to utilize interbank rates such as SOFR.

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来源期刊
Annals of Operations Research
Annals of Operations Research 管理科学-运筹学与管理科学
CiteScore
7.90
自引率
16.70%
发文量
596
审稿时长
8.4 months
期刊介绍: The Annals of Operations Research publishes peer-reviewed original articles dealing with key aspects of operations research, including theory, practice, and computation. The journal publishes full-length research articles, short notes, expositions and surveys, reports on computational studies, and case studies that present new and innovative practical applications. In addition to regular issues, the journal publishes periodic special volumes that focus on defined fields of operations research, ranging from the highly theoretical to the algorithmic and the applied. These volumes have one or more Guest Editors who are responsible for collecting the papers and overseeing the refereeing process.
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