News shocks under financial frictions

Görtz, C., Tsoukalas, J. D. and Zanetti, F. (2022) News shocks under financial frictions. American Economic Journal: Macroeconomics, 14(4), pp. 210-243. (doi: 10.1257/mac.20170066)

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Abstract

We examine the dynamic effects and empirical role of TFP news shocks in the context of frictions in financial markets. We document two new facts using VAR methods. First, a (positive) shock to future TFP generates a significant decline in various credit spread indicators considered in the macro-finance literature. The decline in the credit spread indicators is associated with a robust improvement in credit supply indicators, along with a broad based expansion in economic activity. Second, VAR methods also establish a tight link between TFP news shocks and shocks that explain the majority of un-forecastable movements in credit spread indicators. These two facts provide robust evidence on the importance of movements in credit spreads for the propagation of news shocks. A DSGE model enriched with a financial sector generates very similar quantitative dynamics and shows that strong linkages between leveraged equity and excess premiums, which vary inversely with balance sheet conditions, are critical for the amplification of TFP news shocks. The consistent assessment from both methodologies provides support for the traditional ‘news view’ of aggregate fluctuations.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Tsoukalas, Professor John and Gortz, Dr Christoph
Authors: Görtz, C., Tsoukalas, J. D., and Zanetti, F.
College/School:College of Social Sciences > Adam Smith Business School > Economics
Journal Name:American Economic Journal: Macroeconomics
Publisher:American Economic Association
ISSN:1945-7707
ISSN (Online):1945-7715
Copyright Holders:Copyright © 2022 American Economic Association
First Published:First published in American Economic Journal: Macroeconomics 14(4):210-43
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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