Risk Shocks and Credit Spreads

Dohyoung Kwon

Journal of Macroeconomics, 2020, vol. 64, issue C

Abstract: What moves corporate bond credit spreads? This paper employs a novel statistical method to extract the shock that accounts for the maximal amount of the forecast error variance of credit spreads over a given forecast horizon. I find that the extracted shock can explain a substantial portion of unpredictable fluctuations in credit spreads. In particular, impulse response functions indicate that it has a significant adverse effect on economic activity and financial markets, and closely resemble those of the risk shock as reported in Christiano et al. (2014). To investigate this interpretation more formally, I identify the risk shock using the VIX index as a measure of uncertainty proposed by Bloom (2009) and show that surprisingly, the two shocks are intimately related despite using different identification procedures. This finding implies that the risk shock is the main driver of movements in credit spreads, providing empirical evidence on their strong linkages with macroeconomic dynamics, as well as on their roles in presenting valuable information about future economic activity.

JEL-codes: C32 E32 E44 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0164070420301348
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:jmacro:v:64:y:2020:i:c:s0164070420301348

DOI: 10.1016/j.jmacro.2020.103208

Access Statistics for this article

Journal of Macroeconomics is currently edited by Douglas McMillin and Theodore Palivos

More articles in Journal of Macroeconomics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().