The Use Of Long Short-Term Memory Neural Networks To Predict Earnings Per Share

Additional Metadata
Keywords	Earnings per share, Forecasting, Machine Learning, Deep Learning, Neural Networks, Long Short-Term Memory, OLS
Thesis Advisor	Kramer, Stephan, Margolin, Max
Persistent URL	hdl.handle.net/2105/72040
Series	Business Analytics & Management
Organisation	Rotterdam School of Management
Citation APA APA Style APA-ALL Style AAA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Sewailem, Malak. (2024). The Use Of Long Short-Term Memory Neural Networks To Predict Earnings Per Share. In Business Analytics & Management.http://hdl.handle.net/2105/72040

Publication