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Journal of Financial Economics Vol. 156 2024

Measuring macroeconomic tail risk

Roberto Marfè1,2; Julien Pénasse3

1 Collegio Carlo Alberto · 2 University of Turin · 3 University of Luxembourg

Abstract

This paper estimates consumption and GDP tail risk dynamics over the long run (1900–2020). Our predictive approach circumvents the scarcity of large macroeconomic crises by exploiting a rich information set covering 42 countries. This flexible approach does not require asset price information and can thus serve as a benchmark to evaluate the empirical validity of rare disaster models. Our estimates covary with asset prices and forecast future stock returns, in line with theory. A calibration disciplined by our estimates supports the prediction that macroeconomic tail risk drives the equity premium.

DOI
10.1016/j.jfineco.2024.103838
Volume
156
Pages
103838
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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