The impact of IFRS 16 on earnings management: Evidence from Borsa Istanbul

This study explores the relationship between earnings management (EM) and the implementation of IFRS 16 - Leases in Borsa Istanbul. Using panel and panel quantile regression analyses, the study examines how IFRS 16, and closely related items (Size, ROA, Leverage, and CFO) effect EM. The analysis includes the annual data of 218 companies traded continuously on Borsa Istanbul in 2014–2021 and uses the Kasznik (1999) model to calculate discretionary accruals. According to the panel regression result, no significant link is observed between IFRS 16 and EM, while quantile regression reveals that IFRS 16 reduces EM in firms implementing small-scale EM applications but increases it in large-scale ones. These findings provide insights for investors, policymakers, regulators, and other market participants, highlighting the complex interplay between accounting standards and managerial discretion in financial reporting at Borsa Istanbul.

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Publication Details

Journal
Journal of Applied Microeconometrics
Published
2024-12-28
DOI
https://doi.org/10.53753/jame.2481
Primary Topic
Auditing, Earnings Management, Governance
Type
article
Field-Weighted Citation Impact
0.00
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article

The impact of IFRS 16 on earnings management: Evidence from Borsa Istanbul

Ali Atilla Perek, Göksal Selahatdin Kelten
Journal of Applied Microeconometrics
Auditing, Earnings Management, Governance
article

The impact of IFRS 16 on earnings management: Evidence from Borsa Istanbul

Ali Atilla Perek, Göksal Selahatdin Kelten
article en

Abstract

This study explores the relationship between earnings management (EM) and the implementation of IFRS 16 - Leases in Borsa Istanbul. Using panel and panel quantile regression analyses, the study examines how IFRS 16, and closely related items (Size, ROA, Leverage, and CFO) effect EM. The analysis includes the annual data of 218 companies traded continuously on Borsa Istanbul in 2014–2021 and uses the Kasznik (1999) model to calculate discretionary accruals. According to the panel regression result, no significant link is observed between IFRS 16 and EM, while quantile regression reveals that IFRS 16 reduces EM in firms implementing small-scale EM applications but increases it in large-scale ones. These findings provide insights for investors, policymakers, regulators, and other market participants, highlighting the complex interplay between accounting standards and managerial discretion in financial reporting at Borsa Istanbul.

Journal of Applied MicroeconometricsVol. 4(2)
Pamukkale University (TR), Marmara University (TR)
Openalex Percentile: Top 59%
Auditing, Earnings Management, Governance
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