Predicting Future Earnings Changes Using Machine Learning and Detailed Financial Data
Author:
Affiliation:
1. Department of Technology, Operations, and Statistics, Stern School of Business New York University
2. Department of Accounting, Stern School of Business New York University
Publisher
Wiley
Subject
Economics and Econometrics,Finance,Accounting
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/1475-679X.12429
Reference83 articles.
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2. Detecting Accounting Fraud in Publicly Traded U.S. Firms Using a Machine Learning Approach
3. Barth M.;K.Li; andC.Mcclure. “Evolution in Value Relevance of Accounting Information.” Working paper Stanford University 2021. Available athttps://papers.ssrn.com/sol3/papers.cfm?abstract_id=2933197.
4. A Comparison of XBRL Filings to Corporate 10-Ks—Evidence from the Voluntary Filing Program
5. Private Information, Earnings Manipulations, and Executive Stock-Option Exercises
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