DOWNSIDE RISK MEASURES AND ESG FACTORS IN OPTIMAL PORTFOLIO CONSTRUCTION: EVIDENCE FROM EUROPEAN EQUITY MARKETS

Autori

  • Carlos Andrés Zapata Quimbayo Universidad Externado de Colombia, Faculty of Finance, Bogotá, Colombia
  • Bernardo León Camacho Universidad de Los Andes, School of Management, Bogotá, Colombia

DOI:

https://doi.org/10.2478/eoik-2025-0082

Ključne reči:

ESG factors, Downside Risk Measures, portfolio optimization

Apstrakt

In this paper, we implement an integrated framework for construct-
ing ESG-constrained, downside-risk-optimized equity portfolios in

the European stock market. Extending traditional mean-variance ap-
proaches, we employ downside-oriented risk measures-conditional

value at risk (CVaR) and semi-variance-to better capture investors’
asymmetric aversion to losses. ESG scores are introduced as binding
constraints based on percentile thresholds, ensuring that portfolios
comply with predefined sustainability standards. Semi-variance and

CVaR objectives are formulated as convex programs to enable trac-
table optimization. Using data from Euro Stoxx 50 and Euronext 100

constituents, our empirical analysis reveals that: (i) integrating down-
side risk measures enhances tail-risk protection and may improve per-
formance for loss-averse investors; but (ii) enforcing ESG constraints,

particularly at stricter thresholds, leads to reduced diversification and
a decline in risk-adjusted returns (e.g., Sharpe and Sortino ratios).

These findings highlight the inherent trade-off between sustainabili-
ty and financial efficiency, underscoring the importance of moderate

ESG integration when balancing performance and ethical objectives.

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Objavljeno

2025-12-01