ESG Performance and Analyst Forecast Accuracy: Evidence from SET100 Index

Authors

  • Nuttawadee Pikulwong Master’s student in Data and Analytics, Department of Accounting, Faculty of Business Administration, Kasetsart University, E-mail: nuttawadee.pik@ku.th
  • Suchada Jiamsagul Assistant Professor (D.B.A.), Kasetsart Business School, Kasetsart University, E-mail: fbussdj@ku.ac.th

Keywords:

ESG, Analyst Forecast Accuracy, Financial Analysts, SET100

Abstract

This study aimed to examine the relationship between overall Environmental, Social, and Governance (ESG) performance, as well as its individual dimensions, and analysts’ earnings forecast accuracy of firms listed on the Stock Exchange of Thailand (SET) in the SET100 Index. The sample consisted of 342 firm-year observations covering the period 2020–2024. The analysis employed a multiple regression model under a Fixed Effects framework with firm-clustered robust standard errors to control for unobserved firm-specific characteristics and autocorrelation.

The results indicated that overall ESG performance was positively associated with analysts’ earnings forecast accuracy at the 5% significance level. This finding suggested that improvements in ESG performance enhanced the information environment, enabling financial analysts to produce more accurate earnings forecasts. The evidence supported Signaling Theory and Information Asymmetry Theory, implying that high-quality ESG disclosure reduced information gaps and strengthened the overall information environment in the Thai capital market.

In sum the findings suggested that the overall development of transparent, consistent, and high-quality ESG disclosure standards could improve the efficiency of financial analysis and firm valuation in the long run. However, when ESG was examined by dimension, social had the strongest effect on forecast accuracy, followed by environmental, while governance was not significant, suggesting that stakeholder-related social information most effectively reduces information asymmetry.

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Published

2026-06-09

How to Cite

Pikulwong, N., & Jiamsagul, S. . (2026). ESG Performance and Analyst Forecast Accuracy: Evidence from SET100 Index. NIDA Business Journal, (38), 78–100. retrieved from https://so10.tci-thaijo.org/index.php/NIDABJ/article/view/3599

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Research Articles