AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (256.5 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article | Open Access

Optimal refinancing strategy for a jump-diffusion mortgage rate model

Congjin Zhou1( )Yinghui Dong1Wanrong Mu2
School of Mathematical Sciences, Suzhou University of Science and Technology, Suzhou 215009, China
School of Mathematics and Finance, Chuzhou University, Chuzhou 239000, China
Show Author Information

Abstract

Using a jump-diffusion process to characterize the mortgage rate, we consider the optimal refinancing strategy for interest-only mortgages. After transforming the two-dimensional refinancing problem into a one-dimensional optimization problem, we find that the optimal refinancing strategy is of a threshold type. The system of equations satisfied by the value function under the optimal refinancing strategy is also derived. Assuming that the jump sizes of the jump-diffusion process follow different distributions, we obtain the optimal refinancing threshold values and explicit expressions of the value function. Finally, some numerical results are provided to analyze the impact of some key parameters on the optimal refinancing strategy.

CLC number: 91B70, 60G40

References

【1】
【1】
 
 
AIMS Mathematics
Pages 28436-28450

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Zhou C, Dong Y, Mu W. Optimal refinancing strategy for a jump-diffusion mortgage rate model. AIMS Mathematics, 2025, 10(12): 28436-28450. https://doi.org/10.3934/math.20251251

110

Views

0

Downloads

0

Crossref

0

Web of Science

0

Scopus

Received: 22 October 2025
Revised: 21 November 2025
Accepted: 28 November 2025
Published: 03 December 2025
©2025 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)