Evaluating Machine Learning's Effectiveness in Global Stock Markets: A Comparative Study Between USA and China

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Keywords	Machine Learning in Finance, Stock Market Prediction, USA and China Stock Markets, Cross-Market Analysis, Predictive Analytics in Asset Management
Thesis Advisor	Koeter, Joren, van Daalen, Roger
Persistent URL	hdl.handle.net/2105/74046
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	Dou, April. (2024, July 23). Evaluating Machine Learning's Effectiveness in Global Stock Markets: A Comparative Study Between USA and China. Business Analytics & Management. Retrieved from http://hdl.handle.net/2105/74046

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