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

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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 Style AAA Style APA 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, July 9). The Use Of Long Short-Term Memory Neural Networks To Predict Earnings Per Share. Business Analytics & Management. Retrieved from http://hdl.handle.net/2105/72040

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