Predicting material misstatements using machine learning
| Year of publication: |
2025
|
|---|---|
| Authors: | Parker, Chanyuan (Abigail) Zhang ; Jiang, Lanxin ; Cho, Soohyun ; Vasarhelyi, Miklos A. |
| Published in: |
The accounting review : a publication of the American Accounting Association. - Lakewood Ranch, FL : American Accounting Association, ISSN 0001-4826, ZDB-ID 210224-9. - Vol. 100.2025, 6, p. 225-262
|
| Subject: | material misstatements | prediction | machine learning | extreme gradient boosting | Explainable Artificial Intelligence | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Neuronale Netze | Neural networks |
-
Nguyen, Son Canh, (2023)
-
Forecasting mid-price movement of bitcoin futures using machine learning
Akyildirim, Erdinc, (2020)
-
Hussain, Mohammed Ibrahim, (2025)
- More ...
-
Chain of values : examining the economic impacts of blockchain on the value-added tax system
Cho, Soohyun, (2021)
-
The forthcoming data ecosystem for business measurement and assurance
Cho, Soohyun, (2019)
-
Learning from machine learning in accounting and assurance
Cho, Soohyun, (2020)
- More ...