Detecting Earnings Management through Empirical Earnings Distributions
This paper, examines the difference between empirical and expected frequency distribution of a sample consisting 3394 observations of earnings, and investigates whether earnings are managed to avoid earning decreases and losses. Also, it examines the pooled cross-sectional empirical distributions of...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | fas |
Published: |
Alzahra University
2016-11-01
|
Series: | پژوهشهای تجربی حسابداری |
Subjects: | |
Online Access: | http://jera.alzahra.ac.ir/article_2535_2e422ea446ecaab0ab8b3f968537b4a7.pdf |
_version_ | 1818495338664689664 |
---|---|
author | Mehdi Moradi Mohammad Ali Bagherpour Velashani Arash Ghorbani |
author_facet | Mehdi Moradi Mohammad Ali Bagherpour Velashani Arash Ghorbani |
author_sort | Mehdi Moradi |
collection | DOAJ |
description | This paper, examines the difference between empirical and expected frequency distribution of a sample consisting 3394 observations of earnings, and investigates whether earnings are managed to avoid earning decreases and losses. Also, it examines the pooled cross-sectional empirical distributions of scaled earnings of the companies listed in Tehran Stock Exchange and finds a significant discontinuities in the form of unusually low frequencies in the interval immediately left of zero earnings and unusually high frequencies in the interval immediately right of zero earnings. It shows that managers manipulate earnings upwards to shift it to the right of zero earnings threshold to avoid losses. The study also reveals that managers of firms with a small pre-managed loss manipulate two components of earnings, operating cash flow and working capital to manage their income. There was no evidence of manipulating earnings to avoid earnings decreases. |
first_indexed | 2024-12-10T18:19:20Z |
format | Article |
id | doaj.art-30ddd0811fa14b8f9d18ffef0bb3ce18 |
institution | Directory Open Access Journal |
issn | 2251-8509 2538-1520 |
language | fas |
last_indexed | 2024-12-10T18:19:20Z |
publishDate | 2016-11-01 |
publisher | Alzahra University |
record_format | Article |
series | پژوهشهای تجربی حسابداری |
spelling | doaj.art-30ddd0811fa14b8f9d18ffef0bb3ce182022-12-22T01:38:15ZfasAlzahra Universityپژوهشهای تجربی حسابداری2251-85092538-15202016-11-0161194010.22051/jera.2016.25352535Detecting Earnings Management through Empirical Earnings DistributionsMehdi Moradi0Mohammad Ali Bagherpour Velashani1Arash Ghorbani2دانشیار گروه حسابداری دانشگاه فردوسی مشهداستادیار گروه حسابداری دانشگاه فردوسی مشهددانشجوی دکتری حسابداری دانشگاه فردوسی مشهدThis paper, examines the difference between empirical and expected frequency distribution of a sample consisting 3394 observations of earnings, and investigates whether earnings are managed to avoid earning decreases and losses. Also, it examines the pooled cross-sectional empirical distributions of scaled earnings of the companies listed in Tehran Stock Exchange and finds a significant discontinuities in the form of unusually low frequencies in the interval immediately left of zero earnings and unusually high frequencies in the interval immediately right of zero earnings. It shows that managers manipulate earnings upwards to shift it to the right of zero earnings threshold to avoid losses. The study also reveals that managers of firms with a small pre-managed loss manipulate two components of earnings, operating cash flow and working capital to manage their income. There was no evidence of manipulating earnings to avoid earnings decreases.http://jera.alzahra.ac.ir/article_2535_2e422ea446ecaab0ab8b3f968537b4a7.pdfEarnings ManagementEarnings discontinuitiesEarnings thresholds |
spellingShingle | Mehdi Moradi Mohammad Ali Bagherpour Velashani Arash Ghorbani Detecting Earnings Management through Empirical Earnings Distributions پژوهشهای تجربی حسابداری Earnings Management Earnings discontinuities Earnings thresholds |
title | Detecting Earnings Management through Empirical Earnings Distributions |
title_full | Detecting Earnings Management through Empirical Earnings Distributions |
title_fullStr | Detecting Earnings Management through Empirical Earnings Distributions |
title_full_unstemmed | Detecting Earnings Management through Empirical Earnings Distributions |
title_short | Detecting Earnings Management through Empirical Earnings Distributions |
title_sort | detecting earnings management through empirical earnings distributions |
topic | Earnings Management Earnings discontinuities Earnings thresholds |
url | http://jera.alzahra.ac.ir/article_2535_2e422ea446ecaab0ab8b3f968537b4a7.pdf |
work_keys_str_mv | AT mehdimoradi detectingearningsmanagementthroughempiricalearningsdistributions AT mohammadalibagherpourvelashani detectingearningsmanagementthroughempiricalearningsdistributions AT arashghorbani detectingearningsmanagementthroughempiricalearningsdistributions |