Earnings Management and ESG Performance in Gulf Cooperation Council Banks: A Multi-Method Analysis of Relationship Complexity

  • Sedki Zaiane National Research University Higher School of Economics, HSE
  • Jihene Tizaoui King Faisal University
Keywords: EM, ESG Performance, Gulf Cooperation Council (GCC) countries, Banks, Quantile Regression, Threshold Regression

Abstract

This study investigates the complex, non-linear relationship between Earnings Management (EM) and ESG performance in banks operating in Gulf Cooperation Council (GCC) countries. Using a multi-method approach (Quantile, Threshold, and Quantile-on-Quantile Regression) on data from 2010–2024, we find that EM most severely harms median-ESG performers, exhibits a sharp negative impact beyond a specific threshold, and is highly asymmetric—greatest when high EM  combines with low-medium ESG. The analysis of ESG by individual pillar shows social performance drives this sensitivity, governance reveals a negative cycle, and environmental performance is neutral. These results challenge one-size-fits-all regulation, advocating for targeted oversight based on a bank's specific ESG and financial reporting profile.

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Published
2025-11-14
How to Cite
ZaianeS., & TizaouiJ. (2025). Earnings Management and ESG Performance in Gulf Cooperation Council Banks: A Multi-Method Analysis of Relationship Complexity. HSE Preprints, 14(1). Retrieved from https://preprint.hse.ru/article/view/29098