The Journal of Finance publishes leading research across all the major fields of finance. It is one of the most widely cited journals in academic finance, and in all of economics. Each of the six issues per year reaches over 8,000 academics, finance professionals, libraries, and government and financial institutions around the world. The journal is the official publication of The American Finance Association, the premier academic organization devoted to the study and promotion of knowledge about financial economics.
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Countercyclical Income Risk and Portfolio Choices: Evidence from Sweden
Published: 04/08/2024 | DOI: 10.1111/jofi.13341
SYLVAIN CATHERINE, PAOLO SODINI, YAPEI ZHANG
Using Swedish administrative panel data, we document that workers facing higher left‐tail income risk when equity markets perform poorly have lower portfolio equity share. In line with theory, the relationship between cyclical skewness and stock holdings increases with the share of human capital in a worker's total wealth and vanishes as workers get closer to retirement. Cyclical skewness also predicts portfolio differences within pairs of identical twins. Our findings show that households hedge against correlated tail risks, an important mechanism in asset pricing and portfolio choice models.
Quantifying Reduced‐Form Evidence on Collateral Constraints
Published: 05/25/2022 | DOI: 10.1111/jofi.13158
SYLVAIN CATHERINE, THOMAS CHANEY, ZONGBO HUANG, DAVID SRAER, DAVID THESMAR
This paper quantifies the aggregate effects of financing constraints. We start from a standard dynamic investment model with collateral constraints. In contrast to the existing quantitative literature, our estimation does not target the mean leverage ratio to identify the scope of financing frictions. Instead, we use a reduced‐form coefficient from the recent corporate finance literature that connects exogenous debt capacity shocks to corporate investment. Relative to a frictionless benchmark, collateral constraints induce losses of 7.1% for output and 1.4% for total factor productivity (TFP) (misallocation). We show these estimated losses tend to be more robust to misspecification than estimates obtained by targeting leverage.