Factor Exposure Heterogeneity in Green and Brown Stocks

Paper: arXiv 2302.11729

Authors: David Ardia, Keven Bluteau, Gabriel Lortie-Cloutier, Thien-Duy Tran

Abstract

Using the peer-exposure ratio, we explore the factor exposure heterogeneity in green and brown stocks. By looking at peer groups of S&P 500 index firms over 2014-2020 based on their greenhouse gas emission levels, we find that, on average, green stocks exhibit less factor exposure heterogeneity than brown stocks for most of the traditional equity factors but the value factor. Hence, investment managers shifting their investments from brown stocks to green stocks have less room to differentiate themselves regarding their factor exposures. Finally, we find that factor exposure heterogeneity has increased for green stocks compared to earlier periods.

Complexity vs Empirical Score

• Math Complexity: 3.5/10
• Empirical Rigor: 6.5/10
• Quadrant: Street Traders — practical and empirical, lighter on theory

Why this score: The paper introduces a practical empirical metric (peer-exposure ratio) to analyze factor exposure dispersion across ESG classifications using S&P 500 data. While mathematically straightforward, it offers actionable empirical insights regarding factor differentiation in sustainable investing strategies.

Research Flowchart

  flowchart TD
    A[Research Goal: Analyze Factor Exposure Heterogeneity in Green vs. Brown Stocks] --> B[Data Inputs: S&P 500 GHG Emissions & Equity Factors 2014-2020]
    B --> C[Categorize Stocks into Green and Brown Peer Groups]
    C --> D[Compute Factor Exposures & Peer-Exposure Ratios]
    D --> E[Outcome 1: Green stocks have LESS heterogeneity than brown stocks across most factors]
    D --> F[Outcome 2: Green stocks show HIGHER heterogeneity for the Value factor]
    D --> G[Outcome 3: Green stock factor heterogeneity HAS INCREASED relative to earlier periods]
    E --> H[Implication: Less opportunity for managers to differentiate when shifting to green stocks]