Credit conditions and stock return predictability

A-Tier
Journal: Journal of Monetary Economics
Year: 2015
Volume: 74
Issue: C
Pages: 117-132

Authors (3)

Chava, Sudheer (not in RePEc) Gallmeyer, Michael (University of Virginia) Park, Heungju (not in RePEc)

Score contribution per author:

1.341 = (α=2.01 / 3 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

U.S. stock return predictability is analyzed using a measure of credit standards (Standards) derived from the Federal Reserve Board׳s Senior Loan Officer Opinion Survey on Bank Lending Practices. Standards is a strong predictor of stock returns at a business cycle frequency, especially in the post-1990 data period. Empirically, a tightening of Standards predicts lower future stock returns. Standards performs well both in-sample and out-of-sample and is robust to a host of consistency checks. Standards captures stock return predictability at a business cycle frequency and is driven primarily by the ability of Standards to predict cash flow news.

Technical Details

RePEc Handle
repec:eee:moneco:v:74:y:2015:i:c:p:117-132
Journal Field
Macro
Author Count
3
Added to Database
2026-01-25