Are missing values important for earnings forecasts? : a machine learning perspective
Ajim Uddin, Xinyuan Tao, Chia-Ching Chou and Dantong Yu
| Year of publication: |
2022
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|---|---|
| Authors: | Uddin, Ajim ; Tao, Xinyuan ; Chou, Chia-Ching ; Yu, Dantong |
| Published in: |
Quantitative finance. - London : Taylor & Francis, ISSN 1469-7696, ZDB-ID 2027557-2. - Vol. 22.2022, 6, p. 1113-1132
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| Subject: | Machine learning | Analysts' earnings forecast | Coupled matrix factorization | Firm earnings prediction | Missing value estimation | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Finanzanalyse | Financial analysis | Prognose | Forecast | Gewinnprognose | Earnings announcement | Gewinn | Profit |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/14697688.2021.1963825 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013367888