Risk-Return Tradeoff in Emerging vs. Developed Markets
Keywords:
Institutional quality, Portfolio diversification, Volatility clustering, Developed markets, Emerging markets, Risk–return tradeoffAbstract
This study investigates the risk–return tradeoff in emerging versus developed markets, integrating quantitative econometric models with qualitative contextual analysis. Using data from Bloomberg, the IMF, and the World Bank covering, the research applied CAPM, GARCH models, and panel regressions to assess volatility, return efficiency, and systemic risks. Results reveal that emerging markets offer higher average returns but are accompanied by elevated volatility, downside risk, and volatility clustering, while developed markets demonstrate greater stability, superior Sharpe and Treynor ratios, and more efficient risk-adjusted performance. Jensen’s alpha estimates indicate occasional abnormal returns in emerging economies, reflecting inefficiencies and growth opportunities, though such returns come with substantial fragility during crises. Figures further demonstrate that diversification benefits between the two market groups diminish under stress, as correlations converge during global downturns. Qualitative findings highlight the role of institutional quality, macroeconomic shocks, and behavioral finance dynamics in explaining observed differences. Developed markets benefit from stronger regulatory environments and sustainability integration through ESG frameworks, while emerging markets face challenges in policy consistency and investor protections. Collectively, the study contributes to academic debates and practical investment strategies by emphasizing that the risk–return relationship is context-dependent, non-linear, and sensitive to global integration. The findings underscore critical implications for portfolio diversification, investor decision-making, and policy reforms aimed at strengthening financial stability in emerging economies.
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Copyright (c) 2023 Naveed R. Syed, Farah Naz (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

