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Macroeconomic conditions, corporate default, and default clustering

Kai Xing, Dan Luo and Lanlan Liu

Economic Modelling, 2023, vol. 118, issue C

Abstract: This study investigates how, and to what extent, macroeconomic conditions interact with corporate default in the US industrial sector from 1980 to 2014. Using an extensive data set of macro-level and micro-level variables, we construct five categories of indicators and measure macroeconomic conditions by investigating the co-movements within each category of indicator. We find macroeconomic conditions have bidirectional causal interaction with corporate defaults across different economic regimes, reflecting the existence of feedback causality. Moreover, we show that macroeconomic indicator constructed using the least absolute shrinkage and selection operator (LASSO) approach shows superior explanatory power as well as predictive power for default clustering, indicating that movements of these indicators cause correlated changes in firms' default rates. Overall, our study provides support for literature on default probability estimation from a macroeconomic perspective.

Keywords: Macroeconomic conditions; Macro indicator; Corporate default; Default clustering; Default prediction (search for similar items in EconPapers)
JEL-codes: E32 G01 G10 G33 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecmode:v:118:y:2023:i:c:s0264999322003169

DOI: 10.1016/j.econmod.2022.106079

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