Uncertain generalized mean reversion interest rate risk model with applications to financial instruments

In order to more comprehensively describe the uncertain factors that affect interest rate changes in the financial market, this paper proposes an uncertain generalized mean reversion interest rate risk model based on uncertainty theory and studies the solution via its inverse uncertainty distribution of the model. On this basis, this paper also studies the applications of this model in zero-coupon bonds, interest rate ceilings, and interest rate floors. Besides, we design corresponding numerical algorithms to calculate the prices of the corresponding contracts. Finally, this paper conducts an empirical study based on China's two-year treasury bond interest rate data to verify the model's effectiveness. The numerical results show the proposed uncertain interest rate risk model fits the data well.

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Publication Details

Journal
Journal of Industrial and Management Optimization
Published
2024-12-26
DOI
https://doi.org/10.3934/jimo.2024195
Citations
2
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
1.08
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article

Uncertain generalized mean reversion interest rate risk model with applications to financial instruments

Yang Liu, Xiufang Li, Xiaowei Chen, Xiao Chen
2 citations
Journal of Industrial and Management Optimization
Stochastic processes and financial applications
1.08
article

Uncertain generalized mean reversion interest rate risk model with applications to financial instruments

Yang Liu, Xiufang Li, Xiaowei Chen, Xiao Chen
article en
2 citations

Abstract

In order to more comprehensively describe the uncertain factors that affect interest rate changes in the financial market, this paper proposes an uncertain generalized mean reversion interest rate risk model based on uncertainty theory and studies the solution via its inverse uncertainty distribution of the model. On this basis, this paper also studies the applications of this model in zero-coupon bonds, interest rate ceilings, and interest rate floors. Besides, we design corresponding numerical algorithms to calculate the prices of the corresponding contracts. Finally, this paper conducts an empirical study based on China's two-year treasury bond interest rate data to verify the model's effectiveness. The numerical results show the proposed uncertain interest rate risk model fits the data well.

Journal of Industrial and Management OptimizationVol. 21(4)
Nankai University (CN), Beihang University (CN)
Openalex Percentile: Top 19%
Stochastic processes and financial applications
1.08
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Uncertain generalized mean reversion interest rate risk model with applications to financial instruments — Yang Liu, Xiufang Li, et al. · Journal of Industrial and Management Optimization (2024) | TGRS Research Map | TGRS