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Financial regulation policy uncertainty and credit spreads in the US

机译:美国的金融监管政策不确定性和信贷利差

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摘要

This paper investigates the linear and nonlinear effects of financial regulation policy uncertainty shocks on US macroeconomic aggregates within a Vector Autoregressive (VAR) framework. Financial regulation policy uncertainty (FRPU) is quantified witha news-based index developed by Baker et al. (2013). Particular attention is paid to the reaction of corporate credit spreads to FRPU shocks. The linear VAR results suggest that exogenous increases in the FRPU index trigger increases in the cost of external finance as well as a persistent negative impact on the real economy. By using a nonlinear (Smooth-Transition) VAR model, I then show that these effects are asymmetric over the business cycle, i.e., credit spreads are estimated to rise three times more during recessions than in non-recessionary periods. Importantly, in both the linear and nonlinear models, FRPU shocks account for large shares of the variability of unemployment and credit spreads. My findings are supported by various robustness checks.
机译:本文研究了矢量自回归(VAR)框架内金融监管政策不确定性冲击对美国宏观经济总量的线性和非线性影响。金融监管政策的不确定性(FRPU)由贝克等人开发的基于新闻的指数来量化。 (2013)。特别要注意公司信用利差对FRPU冲击的反应。线性VAR结果表明,FRPU指数的外生增长会触发外部融资成本的增长,以及对实体经济的持续负面影响。然后,通过使用非线性(平稳过渡)VAR模型,我发现这些影响在整个商业周期中是不对称的,即,在经济衰退期间,信贷息差估计比非经济衰退时期的信用息差增长三倍。重要的是,在线性模型和非线性模型中,FRPU冲击都是失业和信贷利差变化的很大一部分。我的发现得到各种鲁棒性检查的支持。

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