Please wait a minute...
金融研究  2026, Vol. 547 Issue (1): 20-37    
  本期目录 | 过刊浏览 | 高级检索 |
商业银行利率风险的计量与管理——基于重定价缺口的研究
刘冲, 张紫嫣, 李欣明, 程子帅
Measurement and Management of Interest Rate Risk in Commercial Banks: A Study Based on the Repricing Gap
LIU Chong, ZHANG Ziyan, LI Xinming, CHENG Zishuai
School of Finance, Shanghai University of Finance and Economics;
Research Institute of Financial Innovation, Shanghai University of Finance and Economics & Shanghai Pudong Development Bank;
School of Finance, Nankai University
下载:  PDF (792KB) 
输出:  BibTeX | EndNote (RIS)      
摘要 重定价缺口定义为重定价资产与重定价负债之间的差额,量化了净利息收入对市场利率变动的敏感性,对于商业银行计量利率风险、制定管理策略、维持稳健经营具有重要意义。本文基于2010—2020年商业银行数据,对重定价缺口的有效性与衍生品风险管理效果进行实证分析。研究发现:第一,样本期内我国商业银行重定价缺口平均为负且呈下行趋势,表明负债端重定价快于资产端,在利率下行环境中有助于缓和净息差收窄压力;第二,2015年后存贷款基准利率不再调整,重定价缺口反映出净息差随市场利率波动的效果显著,表明重定价缺口计量利率风险的有效性随利率市场化改革的推进而逐渐显现;第三,商业银行使用利率衍生品可以降低净息差受市场利率波动的影响,进而发挥管理利率风险的作用。本文为优化商业银行利率风险管理体系、健全金融稳定长效机制提供了参考。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
刘冲
张紫嫣
李欣明
程子帅
关键词:  利率风险  重定价缺口  市场利率  净息差    
Summary:  Interest rate risk (IRR) in commercial banks is widely recognized as a potential threat to financial stability. It can cause operating losses, erode banks' solvency, and weaken monetary policy transmission (Gomez et al., 2021). The Global Financial Stability Report notes that over one-quarter of countries and regions exhibit deficiencies in measuring and managing banks' interest rate risk. The failure of Silicon Valley Bank (SVB) underscored these concerns. According to the Federal Reserve's postmortem analysis, SVB altered key assumptions in its risk models, leading to an underestimation of interest rate risk and an inappropriate reduction of its derivative positions. This episode highlights two core elements of sound risk management in commercial banks: reliable risk metrics and prudent hedging strategies.
Accurate measurement forms the foundation of prudent IRR management. Repricing gap is the difference between interest-rate-sensitive assets and liabilities that are repriced within one year. It quantifies the sensitivity of a bank's net interest income to changes in market rates. Repricing gap is a commonly used, income-based indicator of IRR. Theoretically, the product of the one-year repricing gap and market rate changes predicts variations in net interest income.In practice, however, when the interest rates applied at the repricingof bank assets or liabilities do not adjust in line with movements in marketinterest rates, the repricing gap cannot accurately capture the response of netinterest income to market rate fluctuations. Thus, the effectiveness of this measure depends on how market-oriented the pricing of bank assets and liabilities is.
With China's ongoing interest rate liberalization reform, both the formation of market rates and banks' pricing behavior have undergone major transformations. Pricing benchmarks for assets and liabilities have shifted from administratively regulated rates to market-determined ones. Historically, benchmark deposit and lending rates served as key monetary policy instruments. As interest rate liberalization reform deepened, the floating ranges around these benchmarks widened. The ceiling on lending rates and floor on deposit rates were removed in 2004, and controls on lending (deposit) rates were fully lifted in 2013 (2015). During this transition, the People's Bank of China (PBOC) moved from direct rate controls to a market-based framework, using monetary policy tools to guide market rates indirectly. Since October 2015, benchmark deposit and lending rates have remained unchanged and effectively phased out.
Currently, deposit rates are largely set by financial institutions, subject to industry self-discipline mechanisms that cap rates to ensure fair competition. Lending rates are independently determined and anchored to the Loan Prime Rate (LPR), now the principal benchmark for loan pricing. These shifts in pricing mechanisms of banks have increased the sensitivity of their interest income and expenses to market rate fluctuations. Theoretically, this should enhance the repricing gap's effectiveness as a measure of IRR. Hence, examining how the repricing gap performs across different stages of the reform helps test its theoretical validity and provides empirical evidence to improve risk models and hedging strategies for financial institutions.
China is currently in the deepening stage of interest rate liberalization reform, yet empirical evidence on the effectiveness of the repricing gap and the hedging performance of interest rate derivatives remains limited. Using annual reports of China's commercial banks from 2010 to 2020, this study conducts a comprehensive empirical analysis and yields three main findings. First, the average repricing gap during the sample period is negative and trending downward, indicating that liabilities reprice faster than assets. This asymmetry helps ease the pressure of narrowing net interest margins when market rates decline. Second, the link between the repricing gap and the sensitivity of net interest margins to market rates becomes significant only after 2015, when benchmark rates ceased to be adjusted. This suggests that the gap's effectiveness in capturing interest rate risk has strengthened with the reform. Third, banks' usage of interest rate derivatives reduces the sensitivity of net interest margins to market rate fluctuations, confirming their value in managing interest rate risk. These findings offer empirical insights for optimizing banks' risk management frameworks and establishing a long-term mechanism for financial stability.
The paper's marginal contributions are threefold. First, it extends the literature on identifying and measuring IRR in commercial banks. Focusing on the core issue of indicator effectiveness, it goes beyond prior domestic studies that mainly compare measurement methods qualitatively by providing empirical evidence on their sensitivity, precision, and applicability. Second, within the context of China's interest rate liberalization reform, the paper demonstrates empirically that the effectiveness of the repricing gap depends on the mechanism of interest rate formation. From a micro-level perspective, it explains how the marketization of rates improves measurement accuracy, enriching empirical research on IRR. Third, conditional on effective risk measurement, it evaluates the actual hedging performance of interest rate derivatives, verifying their role in mitigating banks' exposure to interest rate fluctuations and contributing to the literature on derivative-based risk management.
Keywords:  Interest Rate Risk    Repricing Gap    Market Interest Rate    Net Interest Margin
JEL分类号:  E43   G21   G32  
基金资助: *本文感谢国家社会科学基金重大专项项目(24ZDA035)、国家自然科学基金项目(72103106、72573088、72495155)的资助。感谢匿名审稿人的宝贵意见,文责自负。
通讯作者:  李欣明,金融学博士,教授,南开大学金融学院,E-mail:xinming@nankai.edu.cn.   
作者简介:  刘 冲,经济学博士,教授,上海财经大学金融学院,上海财经大学浦发银行金融创新研究院,E-mail:liu.chong@mail.shufe.edu.cn.
张紫嫣,博士研究生,上海财经大学金融学院,E-mail:ziyan@stu.sufe.edu.cn.
程子帅,博士研究生,上海财经大学金融学院,E-mail:cheng_zishuai@163.com.
引用本文:    
刘冲, 张紫嫣, 李欣明, 程子帅. 商业银行利率风险的计量与管理——基于重定价缺口的研究[J]. 金融研究, 2026, 547(1): 20-37.
LIU Chong, ZHANG Ziyan, LI Xinming, CHENG Zishuai. Measurement and Management of Interest Rate Risk in Commercial Banks: A Study Based on the Repricing Gap. Journal of Financial Research, 2026, 547(1): 20-37.
链接本文:  
http://www.jryj.org.cn/CN/  或          http://www.jryj.org.cn/CN/Y2026/V547/I1/20
[1] 包艳龙,2018,《银行账簿利率风险度量——基于〈IRRBB监管标准〉》,《金融监管研究》第12期,第54~69页。
[2] 郭豫媚、戴赜和彭俞超,2018,《中国货币政策利率传导效率研究:2008—2017》,《金融研究》第12期,第37~54页。
[3] 刘冲、庞元晨和刘莉亚,2022,《结构性货币政策、金融监管与利率传导效率——来自中国债券市场的证据》,《经济研究》第1期,第122~136页。
[4] 刘莉亚、余晶晶、杨金强和朱小能,2017,《竞争之于银行信贷结构调整是双刃剑吗?——中国利率市场化进程的微观证据》,《经济研究》第5期,第131~145页。
[5] 刘明康、黄嘉和陆军,2018,《银行利率决定与内部资金转移定价——来自中国利率市场化改革的经验》,《经济研究》第6期,第4~20页。
[6] 马君潞、郭牧炫和李泽广,2013,《银行竞争、代理成本与借款期限结构——来自中国上市公司的经验证据》,《金融研究》第4期,第71~84页。
[7] 申创、赵胜民和李莹,2020,《利率市场化、非利息收入与银行净息差——兼论分类非利息收入的差异化影响路径》,《统计研究》第5期,第68~81页。
[8] 王良和薛斐,2021,《商业银行资产负债管理实践》,中信出版集团。
[9] 王伟和刘吕科,2018,《新形势下银行账户利率风险管理的主要难点与对策》,《清华金融评论》第2期,第69~72页。
[10] 易纲,2021,《中国的利率体系与利率市场化改革》,《金融研究》第9期,第1~11页。
[11] 中国人民银行货币政策分析小组,2024,《中国货币政策执行报告(第二季度)》,第5~6页。
[12] 周鸿卫和陈莉,2016,《利率衍生工具对银行净利息收益率决定的影响研究》,《国际金融研究》第1期,第60~68页。
[13] Ahmed, A. S., A. Beatty and B. Bettinghaus, 2004, “Evidence on the Efficacy of Interest-rate Risk Disclosures by Commercial Banks”, The International Journal of Accounting, 39(3), pp.223~251.
[14] Baker, L., R. Haynes, J. Roberts, R. Sharma and B. Tuckman, 2021, “ Risk Transfer with Interest Rate Swaps”, Financial Markets, Institutions & Instruments, 30(1), pp. 3~28.
[15] Barr, M., 2023, “Review of the Federal Reserve's Supervision and Regulation of Silicon Valley Bank”, The Federal Reserve System Report, 4025.
[16] BCBS (Basle Committee on Banking Supervision), 1993, Measurement of Banks' Exposure to Interest Rate Risk.
[17] Begeneau, J.,M. Piazzesi and M. Schneider, 2012, “The Allocation of Interest Rate Risk in the Financial Sector”,Stanford University Working Paper.
[18] Borio, C., L. Gambacorta and B. Hofmann, 2017, “The influence of Monetary Policy on Bank Profitability”, International Finance, 20(1),pp. 48~63.
[19] Claessens, S., N. Coleman and M. Donnelly, 2018, “ ‘Low-For-Long' Interest Rates and Banks' Interest Margins and Profitability: Cross-Country Evidence”, Journal of Financial Intermediation, 35, pp. 1~16.
[20] Czaja, M., H. Scholz and M. Wilkens, 2010, “Interest Rate Risk Rewards In Stock Returns of Financial Corporations: Evidence from Germany”, European Financial Management, 16(1), pp. 124~154.
[21] Drechsler, I., A. Savov and P. Schnabl, 2017, “The Deposits Channel of Monetary Policy”, Quarterly Journal of Economics, 132(4), pp.1819~1876.
[22] Drechsler, I., A. Savov and P. Schnabl, 2021, “Banking on Deposits: Maturity Transformation without Interest Rate Risk”, Journal of Finance, 76(3), pp. 1091~1143.
[23] English, W. B., S. J. Van den Heuvel and E. Zakrajsek, 2018, “Interest Rate Risk and Bank Equity Valuations”, Journal of Monetary Economics, 98, pp. 80~97.
[24] Esposito, L., A. Nobili and T. Ropele, 2015, “The Management of Interest Rate Risk During The Crisis: Evidence From Italian Banks”, Journal of Banking & Finance, 59, pp. 486~504.
[25] Gertler, M., and P. Karadi, 2015, “Monetary Policy Surprises, Credit Costs, and Economic Activity”, American Economic Journal: Macroeconomics, 7(1), pp. 44~76.
[26] Gomez, M.,A. Landier, D. Sraer and D. Thesmar, 2021, “Banks' Exposure to Interest Rate Risk and The Transmission of Monetary Policy”, Journal of Monetary Economics, 117(C), pp. 543~570.
[27] Greenbaum, S. I. and A. V. Thakor, 2004, Contemporary Financial Intermediation, Published by Academic Press.
[28] Haddad, V. and D. Sraer, 2020, “The Banking View of Bond Risk Premia”, The Journal of Finance, 75(5), pp. 2465~2502.
[29] Hannan, T. H. and A. Berger, 1991, “The Rigidity of Prices: Evidence From the Banking Industry”, American Economic Review, 81(4), pp. 938~945.
[30] Hoffmann, P., S. Langfield, F. Pierobon and V. Guillaume, 2019, “Who Bears Interest Rate Risk?”, The Review of Financial Studies, 32(8), pp. 2921~2954.
[31] IMF,2023, “Financial and Climate Policies for a High-Interest-Rate Era”, Global Financial Stability Report, Chapter 2, pp. 53~74.
[32] Mishkin, F. and S. Eakins, 2009, “Financial Markets and Institutions (7th ed.)”, Published by Pearson.
[33] Purnanandam, A., 2007, “Interest Rate Derivatives at Commercial Banks: An Empirical Investigation”, Journal of Monetary Economics, 54, pp. 1769~1808.
[34] Rampini, A. and S. Viswanathan, 2013, “Collateral and Capital Structure”,Journal of Financial Economics, 109(2), pp. 466~492.
[35] Vuillemey, G., 2019, “Bank Interest Rate Risk Management”, Management Science, 65(12), pp. 5933~5956.
[1] 刘冲 Download
[1] 熊启跃, 王书朦. 负利率对银行净息差影响机制研究——基于欧洲主要上市银行的经验证据[J]. 金融研究, 2020, 475(1): 110-129.
[2] 熊启跃, 赵阳, 廖泽州. 国际化会影响银行的净息差水平么?——来自全球大型银行的经验证据[J]. 金融研究, 2016, 433(7): 64-79.
[1] 陈德球, 陈运森, 董志勇. 政策不确定性、市场竞争与资本配置[J]. 金融研究, 2017, 449(11): 65 -80 .
[2] 祝继高, 李天时, 尤可畅. 房地产价格波动与商业银行贷款损失准备——基于中国城市商业银行的实证研究[J]. 金融研究, 2017, 447(9): 83 -98 .
[3] 孙国峰, 尹航, 柴航. 全局最优视角下的货币政策国际协调[J]. 金融研究, 2017, 441(3): 54 -71 .
[4] 赵颖, 石智雷. 城镇集聚、户籍制度与教育机会[J]. 金融研究, 2017, 441(3): 86 -100 .
[5] 罗炜, 何顶, 洪莉莎, 常国珍. 媒体报道可以预测创业企业的发展前景吗?[J]. 金融研究, 2017, 446(8): 177 -191 .
[6] 徐翔. 人口老龄化背景下的长期经济增长潜力研究[J]. 金融研究, 2017, 444(6): 17 -32 .
[7] 李建标, 孙宾宾, 王鹏程. 财富约束、市场时机与融资行为的实验研究——优序融资和市场择时理论的行为元素提炼[J]. 金融研究, 2016, 431(5): 124 -137 .
[8] 方昕. 警惕通缩风险,完善宏观调控[J]. 金融研究, 2016, 428(2): 121 -127 .
[9] 杨子晖, 李广众, 张宁. 通胀国际传递的动态关系研究——兼论中国汇率的“通胀屏蔽功能”[J]. 金融研究, 2016, 432(6): 1 -17 .
[10] 陈雨露. 四十年来中央银行的研究进展及中国的实践[J]. 金融研究, 2019, 464(2): 1 -19 .
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
版权所有 © 《金融研究》编辑部
本系统由北京玛格泰克科技发展有限公司设计开发 技术支持:support@magtech.com.cn
京ICP备11029882号-1