Monetary policy and information shocks in a block-recursive SVAR

被引:0
|
作者
Keweloh, Sascha A. [1 ]
Hetzenecker, Stephan [2 ]
Seepe, Andre [1 ]
机构
[1] TU Dortmund Univ, Vogelpothsweg 87, D-44227 Dortmund, Germany
[2] Univ Duisburg Essen, Univ Str 12, D-45117 Essen, Germany
关键词
Identification; Non-Gaussian; Information shocks; Stock market; Monetary policy; STRUCTURAL VECTOR AUTOREGRESSIONS; IDENTIFICATION;
D O I
10.1016/j.jimonfin.2023.102892
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This study introduces a new estimator that combines block-recursive restrictions with higher-order moment conditions and non-Gaussian shocks. The proposed estimator improves the accuracy of the estimation, simplifies labeling, and allows for relaxing the independence and non-Gaussianity assumptions in comparison to a purely data-driven approach. We use the approach to disentangle the interaction of stock prices and interest rates into monetary policy and stock market information shocks. We find that traditional monetary policy shocks move interest rates and stock prices in opposite directions, whereas information shocks move both variables in the same direction. Moreover, we uti-lize high-frequency data from FOMC announcements to derive a proxy for central bank information shocks and show that these shocks are statistically relevant for the low-frequency stock market information shock.& COPY; 2023 Elsevier Ltd. All rights reserved.
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页数:20
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