Earning management estimation and prediction using machine learning: A systematic review of processing methods and synthesis for future research-Reference-Cited by-同舟云学术

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Earning management estimation and prediction using machine learning: A systematic review of processing methods and synthesis for future research

Published:2021-11-10 Issue: Volume: Page:
ISSN:
Container-title:2021 International Conference on Technological Advancements and Innovations (ICTAI)
language:
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Author:

Almaqtari Faozi A.¹,Farhan Najib H.S.²,Salmony Monir Yahya³,Al-Ahdal Waleed M.¹,Mishra Nandita⁴

Affiliation:

1. University Malaysia Terengganu,Faculty of Business, Economics and Social Development,Department of Accounting,Terengganu,Malaysia

2. Universal Business School,India

3. Aligarh Muslim University,Department of Computer Science,Aligarh,India

4. Linköping University,Language for specific purpose (SPRÅK),Department of Management and Engineering (IEI),Sweden

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9673138/9672769/09673157.pdf?arnumber=9673157

Reference61 articles.

1. Errors in Estimating Accruals: Implications for Empirical Research

2. Machine Learning and Earnings Management Detection

3. Predicting Earnings Management from Qualitative Disclosures;jaspersen;SSRN Electron J,2021

4. Management earnings forecasts and other forward-looking statements

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Identifying new earnings management components: a machine learning approach;Accounting Research Journal;2024-07-11

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