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Monthly income patterns and earnings management in banking

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  • Eleftherios Aggelopoulos
  • Antonios Georgopoulos
  • Georgios Kolias

Abstract

This study makes use of 38,070 loan portfolio-month observations in the 2009–2017 recessionary period and investigates whether monthly loan portfolio income distribution patterns can indicate earnings management in banking. We find that discontinuous monthly income patterns throughout the year based on Gini estimations are clear telltale signs of reported income manipulation detected via a Regression Discontinuity Design. We highlight that banks manipulate reported income by varying their loan loss provisions and reversals throughout the year. Specifically, they increase provisioning in the early months and release them towards year-end. This monthly-based strategy is employed by bank managers to influence the annual financial numbers reported in year-end public financial statements. The study contributes to understanding how banks internally manage provisioning on-average within a year, revealing a key mechanism of earnings management in the banking sector. The study fills a significant research gap in the existing literature on bank earnings management, primarily focused on quarterly earnings research.

Suggested Citation

  • Eleftherios Aggelopoulos & Antonios Georgopoulos & Georgios Kolias, 2025. "Monthly income patterns and earnings management in banking," Accounting Forum, Taylor & Francis Journals, vol. 49(2), pages 498-522, March.
    • Handle: RePEc:taf:accfor:v:49:y:2025:i:2:p:498-522
    DOI: 10.1080/01559982.2024.2311943
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