Reconciling the Energy-Exposure and Sectoral-Risk Hypotheses: Spillover Effects of Oil Shocks to Clean and Dirty Chinese Stocks

This paper develops a new direction of study oil-shocks with two competing hypotheses: (i) the Energy-exposure hypothesis, which posits that clean stocks with less direct reliance on fossil fuel should be less sensitive to oil shocks; and (ii) the Sectoral-risk hypothesis, which argues that dirty stocks are less sensitive to oil shocks because they exhibit more defensive characteristics and can act as safe-haven assets during oil-induced market stress. Our study constructs clean and dirty portfolios based on firm-level carbon intensity for stocks in the Hang Seng Stock Connect China A 300 (HSCA300) Index, decomposes oil shocks into supply, aggregate demand, and oil-specific demand components, and measures return and volatility spillovers with the connectedness framework. The results show that directional spillovers from all three types of oil shocks to the clean portfolio generally exceed those to the dirty portfolio in both returns and volatility, supporting the sectoral-risk hypothesis. However, volatility spillovers from oil-specific demand shocks are stronger for the dirty portfolio, aligning with the energy-exposure hypothesis.

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Publication Details

Journal
Journal of risk and financial management
Published
2026-02-09
DOI
https://doi.org/10.3390/jrfm19020130
Primary Topic
Market Dynamics and Volatility
Type
article
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article

Reconciling the Energy-Exposure and Sectoral-Risk Hypotheses: Spillover Effects of Oil Shocks to Clean and Dirty Chinese Stocks

Eddie Lam, Joseph K. W. Fung, Yiuman Tse
Journal of risk and financial management
Market Dynamics and Volatility
article

Reconciling the Energy-Exposure and Sectoral-Risk Hypotheses: Spillover Effects of Oil Shocks to Clean and Dirty Chinese Stocks

Eddie Lam, Joseph K. W. Fung, Yiuman Tse
article en

Abstract

This paper develops a new direction of study oil-shocks with two competing hypotheses: (i) the Energy-exposure hypothesis, which posits that clean stocks with less direct reliance on fossil fuel should be less sensitive to oil shocks; and (ii) the Sectoral-risk hypothesis, which argues that dirty stocks are less sensitive to oil shocks because they exhibit more defensive characteristics and can act as safe-haven assets during oil-induced market stress. Our study constructs clean and dirty portfolios based on firm-level carbon intensity for stocks in the Hang Seng Stock Connect China A 300 (HSCA300) Index, decomposes oil shocks into supply, aggregate demand, and oil-specific demand components, and measures return and volatility spillovers with the connectedness framework. The results show that directional spillovers from all three types of oil shocks to the clean portfolio generally exceed those to the dirty portfolio in both returns and volatility, supporting the sectoral-risk hypothesis. However, volatility spillovers from oil-specific demand shocks are stronger for the dirty portfolio, aligning with the energy-exposure hypothesis.

Journal of risk and financial managementVol. 19(2)
University of Missouri–St. Louis (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 67%
Market Dynamics and Volatility
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Reconciling the Energy-Exposure and Sectoral-Risk Hypotheses: Spillover Effects of Oil Shocks to Clean and Dirty Chinese Stocks — Eddie Lam, Joseph K. W. Fung, et al. · Journal of risk and financial management (2026) | TGRS Research Map | TGRS