Predicting the 2020 Stock Market Crash using Ensemble Models

Additional Metadata
Keywords	Stock, Market, Predicting
Thesis Advisor	Ghiassi-Farrokhfal, Yashar, Dupont, Clarisse
Persistent URL	hdl.handle.net/2105/63736
Series	Business Information 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	van Eijndhoven, Mark. (2022, July 19). Predicting the 2020 Stock Market Crash using Ensemble Models. Business Information Management. Retrieved from http://hdl.handle.net/2105/63736

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