Research on α-Arbitrage for Uncertain Stock Market Model

This paper introduces the concept of α-arbitrage opportunity based on the uncertain stock model, where the stock price follows an uncertain differential equation driven by the canonical Liu process rather than the traditional Brownian motion. Mainly, a sufficient and necessary condition for the uncertain stock model being strict no-arbitrage, i.e. absent of α-arbitrage opportunity is derived. The uncertain stock model is strict no-arbitrage if and only if the system of linear equations has a solution and the absolute value of the solution does not exceed the given threshold, which depends on the investors' belief degree. Some examples are given to illustrate the strict no-arbitrage theorem, especially to show that an α-arbitrage opportunity is possible in a no-arbitrage market. The numerical analysis shows that the market can be strict no-arbitrage when the belief degree is 99% except for five months and 98% except for seven months. Moreover, the optimal belief degree and the α-arbitrage boundary curve are obtained in the numerical analysis.

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Published
2024-12-20
DOI
https://doi.org/10.1109/acai63924.2024.10899572
Primary Topic
Stock Market Forecasting Methods
Type
article
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article

Research on α-Arbitrage for Uncertain Stock Market Model

Jun Zhao
Stock Market Forecasting Methods
article

Research on α-Arbitrage for Uncertain Stock Market Model

Jun Zhao
article en

Abstract

This paper introduces the concept of α-arbitrage opportunity based on the uncertain stock model, where the stock price follows an uncertain differential equation driven by the canonical Liu process rather than the traditional Brownian motion. Mainly, a sufficient and necessary condition for the uncertain stock model being strict no-arbitrage, i.e. absent of α-arbitrage opportunity is derived. The uncertain stock model is strict no-arbitrage if and only if the system of linear equations has a solution and the absolute value of the solution does not exceed the given threshold, which depends on the investors' belief degree. Some examples are given to illustrate the strict no-arbitrage theorem, especially to show that an α-arbitrage opportunity is possible in a no-arbitrage market. The numerical analysis shows that the market can be strict no-arbitrage when the belief degree is 99% except for five months and 98% except for seven months. Moreover, the optimal belief degree and the α-arbitrage boundary curve are obtained in the numerical analysis.

Xi’an University of Posts and Telecommunications (CN)
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Stock Market Forecasting Methods
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