An Empirical Study on the Influence of Embedded Option on Interest Rate Risk Based on Fuzzy Monte Carlo Simulation

With the gradual progress of interest rate marketization, China’s interest rate fluctuates more and more frequently, and the range is also growing. As a result, more and more implicit options are embedded in commercial banks’ balance sheets, which brings new challenges to commercial banks’ interest...

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Main Authors: Enlin Tang, Zebin Liu
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2023/3966972
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author Enlin Tang
Zebin Liu
author_facet Enlin Tang
Zebin Liu
author_sort Enlin Tang
collection DOAJ
description With the gradual progress of interest rate marketization, China’s interest rate fluctuates more and more frequently, and the range is also growing. As a result, more and more implicit options are embedded in commercial banks’ balance sheets, which brings new challenges to commercial banks’ interest rate risk management. On the basis of identifying implicit options and theoretically analyzing the mechanism, fuzzy MCS method is used to calculate Ceff and Deff when implicit options exist, and compared with the traditional duration value and traditional convexity value when implicit options do not exist, further analyzing how implicit options affect the interest rate risk.
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issn 2314-4785
language English
publishDate 2023-01-01
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series Journal of Mathematics
spelling doaj-art-47c795eb893f4cdeb1719e6d58585b652025-08-20T02:37:54ZengWileyJournal of Mathematics2314-47852023-01-01202310.1155/2023/3966972An Empirical Study on the Influence of Embedded Option on Interest Rate Risk Based on Fuzzy Monte Carlo SimulationEnlin Tang0Zebin Liu1School of Finance and MathematicsSchool of Finance and MathematicsWith the gradual progress of interest rate marketization, China’s interest rate fluctuates more and more frequently, and the range is also growing. As a result, more and more implicit options are embedded in commercial banks’ balance sheets, which brings new challenges to commercial banks’ interest rate risk management. On the basis of identifying implicit options and theoretically analyzing the mechanism, fuzzy MCS method is used to calculate Ceff and Deff when implicit options exist, and compared with the traditional duration value and traditional convexity value when implicit options do not exist, further analyzing how implicit options affect the interest rate risk.http://dx.doi.org/10.1155/2023/3966972
spellingShingle Enlin Tang
Zebin Liu
An Empirical Study on the Influence of Embedded Option on Interest Rate Risk Based on Fuzzy Monte Carlo Simulation
Journal of Mathematics
title An Empirical Study on the Influence of Embedded Option on Interest Rate Risk Based on Fuzzy Monte Carlo Simulation
title_full An Empirical Study on the Influence of Embedded Option on Interest Rate Risk Based on Fuzzy Monte Carlo Simulation
title_fullStr An Empirical Study on the Influence of Embedded Option on Interest Rate Risk Based on Fuzzy Monte Carlo Simulation
title_full_unstemmed An Empirical Study on the Influence of Embedded Option on Interest Rate Risk Based on Fuzzy Monte Carlo Simulation
title_short An Empirical Study on the Influence of Embedded Option on Interest Rate Risk Based on Fuzzy Monte Carlo Simulation
title_sort empirical study on the influence of embedded option on interest rate risk based on fuzzy monte carlo simulation
url http://dx.doi.org/10.1155/2023/3966972
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AT enlintang empiricalstudyontheinfluenceofembeddedoptiononinterestrateriskbasedonfuzzymontecarlosimulation
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