Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

December 26, 2023


Pages


DOI

Article

A Study on Macro Measurement Methods and Volatility Characteristics of Interest Rate Risk of Commercial Banks under the New LPR Mechanism

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Authors

Lingling Wang Affiliation:
School of Finance, Inner Mongolia University of Finance and Economics, Hohhot, Inner Mongolia, 010070, China.
, Keru Shang Affiliation:
School of Finance, Inner Mongolia University of Finance and Economics, Hohhot, Inner Mongolia, 010070, China.
and Xiaoyu Wang Affiliation:
School of Finance, Inner Mongolia University of Finance and Economics, Hohhot, Inner Mongolia, 010070, China.


Abstract

The interest rate risk of commercial banks is closely related to the effectiveness of the LPR mechanism. In this paper, the interest rate market is divided into three stages according to the process of interest rate marketization, and a six-sector New Keynesian MS-DSGE model is constructed by adding monetary regulation variables. The parameters in the model that are influenced by interest rate marketization and the new LPR mechanism are transformed by Markov zone transformation. The interest rate risk of commercial banks is measured by the impulse response functions of uncertain interest rate shocks to the interest rate sensitivity gap and the duration gap, and the volatility characteristics of interest rate risk in different stages of interest rate marketization are compared and analyzed. The results show that in the third stage (2019-present), the LPR mechanism is transformed from old to new. Under the δR = 0.5 shock, the commercial lending interest rate tends to stabilize around 0.00038, and the borrowing interest rate tends to 0 in all 3 differentiated target parameters in the 10th period. For this reason, the differentiated interest rate pricing behaviors of commercial banks should be considered comprehensively, and the LPR target should be set reasonably so as to get the optimal policy effect.


Keywords

Interest rate risk, LPR mechanism, MS-DSGE model, Markov zone system transformation, Duration gap, 03D10


Citation

Wang, L., Shang, K., & Wang, X. (2023). A study on macro measurement methods and volatility characteristics of interest rate risk of commercial banks under the new LPR mechanism. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.01620

Published by: Engineering Journals

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