Predicting future earnings changes using machine learning and detailed financial data
| Year of publication: |
2022
|
|---|---|
| Authors: | Chen, Xi ; Cho, Yang Ha ; Dou, Yiwei ; Lev, Baruch |
| Published in: |
Journal of accounting research. - Oxford [u.a.] : Wiley-Blackwell, ISSN 1475-679X, ZDB-ID 2060654-0. - Vol. 60.2022, 2, p. 467-515
|
| Subject: | detailed financial data | direction of earnings changes | machine learning | prediction | XBRL | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Finanzmarkt | Financial market | Prognose | Forecast |
-
Predictive power of ESG factors for DAX ESG 50 index forecasting using multivariate LSTM
Rosinus, Manuel, (2025)
-
Short-term forecasting of the JSE All-Share Index using gradient boosting machines
Mukhaninga, Mueletshedzi, (2025)
-
Forecasting and trading cryptocurrencies with machine learning under changing market conditions
Sebastião, Helder Miguel Correia Virtuoso, (2021)
- More ...
-
Predicting Future Earnings Changes Using Machine Learning and Detailed Financial Data
Chen, Xi, (2022)
-
Fundamental Analysis of Detailed Financial Data : A Machine Learning Approach
Chen, Xi, (2021)
-
The debt-contracting value of accounting numbers and financial covenant renegotiation
Dou, Yiwei, (2020)
- More ...