Oil and stock market momentum

A-Tier
Journal: Energy Economics
Year: 2017
Volume: 68
Issue: C
Pages: 151-159

Authors (3)

Chen, Chun-Da (not in RePEc) Cheng, Chiao-Ming (not in RePEc) Demirer, Rıza (Southern Illinois University)

Score contribution per author:

1.345 = (α=2.02 / 3 authors) × 2.0x A-tier

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

Abstract

This study provides a novel perspective to the oil-stock market nexus by examining the predictive ability of oil return and volatility on stock market momentum in China. We find that oil return volatility serves as a strong predictor of industry momentum, even after controlling for stock market state, volatility and key macroeconomic variables. We argue that the predictive ability of oil over momentum payoffs is driven by time-varying investor sentiment that relates to excess buying pressure on winner stocks during uncertain times, captured by oil return volatility. Our tests also show that an oil-based momentum strategy wherein the investor conditions the trade on the state of oil return volatility yields significant abnormal returns, more than double that could be obtained from the conventional momentum strategy. In short, the findings suggest that oil market dynamics can contribute to stock market inefficiencies in such a way that these inefficiencies create significant abnormal profits for active managers.

Technical Details

RePEc Handle
repec:eee:eneeco:v:68:y:2017:i:c:p:151-159
Journal Field
Energy
Author Count
3
Added to Database
2026-01-25