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Random Walk of Socially Responsible Investment in Emerging Market

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  • Nevi Danila

    (Finance Department, College of Business Administration, Prince Sultan University, Riyadh 11586, Saudi Arabia)

Abstract

Emerging markets offer some of the world’s most impactful investment possibilities for investors concerned with addressing global climate and socioeconomic issues. Sophisticated investors conjectured that socially responsible investment (SRI) or environmental social and governance (ESG) might give greater returns than investing in conventional stocks in an emerging market. At the same time, the investors favour conserving the environment while generating long-term economic growth. Being able to earn greater returns is an indication of an inefficient market. This paper investigates the random walk (weak-form of the efficient market) of SRI/ESG indices in the emerging market (based on IMF emerging market criteria). We use the daily data as a sample. Random walk is tested using an Augmented Dickey–Fuller (ADF) Unit Root test, Variance ratio test and Hurst exponent test. The findings report that all the indices are not following a random walk. Lack of ESG disclosure, inadequate corporate governance regulation and behavioural bias might be reasons for market inefficiency. Its implications for investors to reap abnormal market returns by identifying the undervalued stock in the emerging economies. The regulator’s approval of operational guidelines and the licensing of exchanges and clearing houses help maintain the markets’ fairness. Then, the regulator should intensify corporate governance enhancement, implementation and enforcement continuously; enhance the market and institutional infrastructure, and focus policy on encouraging a more significant and more diverse investor base.

Suggested Citation

  • Nevi Danila, 2022. "Random Walk of Socially Responsible Investment in Emerging Market," Sustainability, MDPI, vol. 14(19), pages 1-13, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:11846-:d:920080
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