Audit Committee Diversity, Analysts’ Forecast Accuracy and Earnings Management: Evidence from Malaysia
This paper aims to investigate the effect of audit committee ethnicity, as part of the diverse cultures in Malaysia, on analysts’ forecast accuracy. In addition, this study investigates further the interactions between the unique cultures in Malaysia and earnings management to determine whether audi...
Published in: | Journal of Risk and Financial Management |
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2-s2.0-85130448394 Marzuki M.M. Audit Committee Diversity, Analysts’ Forecast Accuracy and Earnings Management: Evidence from Malaysia 2022 Journal of Risk and Financial Management 15 4 10.3390/jrfm15040169 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130448394&doi=10.3390%2fjrfm15040169&partnerID=40&md5=891e14a1d5592a7229c56f69e1e5e261 This paper aims to investigate the effect of audit committee ethnicity, as part of the diverse cultures in Malaysia, on analysts’ forecast accuracy. In addition, this study investigates further the interactions between the unique cultures in Malaysia and earnings management to determine whether audit committee ethnicity still plays a role in earnings management. Based on 391 observations of firms followed by analysts from the year 2012 to 2014, our result indicates that firms dominated by Bumiputera audit committees have a higher analyst forecast error. In addition, we found that firms manage earnings to meet analysts’ forecasts, which is significant for firms dominated by Bumiputera audit committees. The results add new evidence on the effect of audit committee ethnicity on financial reporting quality in the multiracial country of Malaysia. © 2022 by the author. Licensee MDPI, Basel, Switzerland. MDPI 19118074 English Article All Open Access; Gold Open Access |
author |
Marzuki M.M. |
spellingShingle |
Marzuki M.M. Audit Committee Diversity, Analysts’ Forecast Accuracy and Earnings Management: Evidence from Malaysia |
author_facet |
Marzuki M.M. |
author_sort |
Marzuki M.M. |
title |
Audit Committee Diversity, Analysts’ Forecast Accuracy and Earnings Management: Evidence from Malaysia |
title_short |
Audit Committee Diversity, Analysts’ Forecast Accuracy and Earnings Management: Evidence from Malaysia |
title_full |
Audit Committee Diversity, Analysts’ Forecast Accuracy and Earnings Management: Evidence from Malaysia |
title_fullStr |
Audit Committee Diversity, Analysts’ Forecast Accuracy and Earnings Management: Evidence from Malaysia |
title_full_unstemmed |
Audit Committee Diversity, Analysts’ Forecast Accuracy and Earnings Management: Evidence from Malaysia |
title_sort |
Audit Committee Diversity, Analysts’ Forecast Accuracy and Earnings Management: Evidence from Malaysia |
publishDate |
2022 |
container_title |
Journal of Risk and Financial Management |
container_volume |
15 |
container_issue |
4 |
doi_str_mv |
10.3390/jrfm15040169 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130448394&doi=10.3390%2fjrfm15040169&partnerID=40&md5=891e14a1d5592a7229c56f69e1e5e261 |
description |
This paper aims to investigate the effect of audit committee ethnicity, as part of the diverse cultures in Malaysia, on analysts’ forecast accuracy. In addition, this study investigates further the interactions between the unique cultures in Malaysia and earnings management to determine whether audit committee ethnicity still plays a role in earnings management. Based on 391 observations of firms followed by analysts from the year 2012 to 2014, our result indicates that firms dominated by Bumiputera audit committees have a higher analyst forecast error. In addition, we found that firms manage earnings to meet analysts’ forecasts, which is significant for firms dominated by Bumiputera audit committees. The results add new evidence on the effect of audit committee ethnicity on financial reporting quality in the multiracial country of Malaysia. © 2022 by the author. Licensee MDPI, Basel, Switzerland. |
publisher |
MDPI |
issn |
19118074 |
language |
English |
format |
Article |
accesstype |
All Open Access; Gold Open Access |
record_format |
scopus |
collection |
Scopus |
_version_ |
1814778504308326400 |