摘要
本文构建了兼顾经济增长和风险因素的利率规则方程,设计了基于跨周期思路的实证方法,通过引入平均损失比来度量政策表现,并使用中国2006年1月至2021年9月的季度数据对模型进行检验与模拟,最终确定了跨周期的最适利率规则方程。研究发现:在系统性金融风险系数被赋予0.1固定低值的规则下,政策效果更好;通胀缺口倾斜型规则的政策效果明显优于产出缺口倾斜型规则;失业率缺口倾斜型规则的政策效果优于通胀缺口倾斜型规则。建议央行优化政策利率形成过程,完善政策引导规则,提升货币政策调控效率。
This paper constructs an interest rate rule equation that considers both economic growth and risk factors and designs an empirical method based on cross-cycle thinking.Further,this paper measures policy performance by introducing the average loss ratio,and uses quarterly data from January 2006 to September 2021 in China to test and simulate the model,ultimately determining the optimal interest rate rule equation across cycles.Research has found that under the rule of assigning a fixed low value of 0.1 to the systemic financial risk coefficient,policy effects are better.The policy effect of the inflation gap skewed rule is significantly better than that of the output gap skewed rule.The policy effect of the unemployment gap skewed rule is better than that of the inflation gap skewed rule.It is recommended that the central bank optimizes the process of forming policy interest rates,improves policy guidance rules,and enhances the efficiency of monetary policy regulation.
作者
芦超
沈沛龙
LU Chao;SHEN Pei-long
出处
《现代金融研究》
CSSCI
北大核心
2024年第10期3-13,共11页
Journal of modern finance
基金
国家社会科学基金项目“健全系统性金融风险预警、防控与应急处置机制研究”(18BJY231)的资助。
关键词
政策利率
泰勒规则
系统性金融风险
跨周期政策设计
policy interest rate
Taylor rule
systematic financial risk
cross-cyclical policy design