将宏观经济变量纳入银行利率风险度量行为模型

Zhongfang He
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引用次数: 0

摘要

最近巴塞尔银行监管委员会关于银行利率风险的标准要求考虑宏观经济变量来模拟客户行为,而监管机构没有规定宏观经济风险情景,也没有在行业中得到普遍认可。由于宏观经济变量和利率是相关的,预测宏观经济变量的利率风险测量提出了与监管机构规定的利率情景保持一致性的挑战。本文提出了一种将宏观经济变量与利率情景相结合的方法。利用宏观经济变量对利率变量的条件期望来捕捉它们之间的相互依赖关系。根据条件期望的数学性质,导出了条件期望的非参数估计量。由此得出的宏观经济变量预测与给定的利率情景完全一致,便于在实践中实施。本文对加拿大定期存款进行了实证应用,以说明所提出的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrating Macroeconomic Variables into Behavioral Models for interest Rate Risk Measurement in the Banking Book
Recent Basel Committee on Banking Supervision standards on interest rate risk in the banking book require the consideration of macroeconomic variables for modeling client behaviors, while no macroeconomic risk scenarios are prescribed by regulators or are generally agreed in the industry. Since macroeconomic variables and interest rates are correlated, projecting macroeconomic variables for interest rate risk measurement poses the challenge of maintaining consistency with regulator-prescribed interest rate scenarios. This paper proposes an approach to integrate macroeconomic variables with interest rate scenarios. The conditional expectation of macroeconomic variables on interest rate variables is used to capture their interdependence. Based on the mathematical properties of conditional expectation, we derive its nonparametric estimator. The resulting projections of macroeconomic variables are fully consistent with the given interest rate scenarios and are convenient for implementation in practice. An empirical application to Canadian fixed-term deposits is conducted to illustrate the proposed approach.
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