基于GARCH族模型及VaR方法的商业银行利率风险度量  

Interest Rate Risk Measurement of Commercial Banks Based on GARCH Family Model and VaR Method

作　　者：袁归 

机构地区：[1]浙江财经大学数据科学学院,浙江 杭州

出　　处：《统计学与应用》2024年第4期1365-1373,共9页Statistical and Application

摘　　要：我国金融的市场变化日新月异,其所面临的各种风险也在日益增加。利率市场化的发展使利率风险成为商业银行面临的主要风险之一。目前,学者们迫切需要探索和研究利率风险的重要问题,从而制定科学有效的各方面防范措施。本文将以上海银行间同业拆借理论为分析对象,运用GARCH族模型及VaR方法研究商业银行目前所面临的利率风险,进行风险衡量以及管理研究。本文以2020年初至2024年5月底Shibor O/N作为本文实证研究的基础数据。进行GARCH(1, 1)模型拟合数据,得出收益率序列相应的均值方程与条件方差方程,计算VaR预测值。结果显示,对目前中国商业银行的隔夜拆借利率业务而言,该文章选取90%、95%、99%三个不同的置信度,所得到的最大损失分别为11.60%、13.30%和15.43%的资产市场价值。基于目前我国利率的波动性,商业银行预防利率风险可以从以下几个方面入手:提高风险意识、完善金融产品的定价机制、注重人才培养、增加表外业务比重等。The financial market in China is undergoing rapid changes, and the various risks it faces are also increasing day by day. The development of the interest rate market has made interest rate risk one of the main risks faced by commercial banks. At present, scholars urgently need to explore and research the important issues of interest rate risk, to formulate scientific and effective preventive measures in all aspects. This article will take the theoretical basis of Shanghai Interbank Offerings as the analysis object and use the GARCH family model and VaR method to study the current interest rate risk faced by commercial banks for risk measurement and management research. This article takes Shibor O/N from early 2020 to the end of May 2024 as the basic data for empirical research. A GARCH(1, 1) model is conducted to fit the data, and the corresponding mean equation and conditional variance equation of the return rate sequence are d

关 键 词：利率风险 VAR方法 GARCH族模型 

分 类 号：F83[经济管理—金融学]