Enhancing the Interpretability of Stock Market Crash Forecasting: A Comparative Study of Machine Learning Models with Explainable AI

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Keywords	stocks, stock market crash, financial market crash, explainable ai, machine-learning, forecasting, interpretable models
Thesis Advisor	van Dalen, Jan, Ghiassi-Farrokhfal, Yashar
Persistent URL	hdl.handle.net/2105/78955
Series	Business Information 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	Elkattan, Yasin. (2025). Enhancing the Interpretability of Stock Market Crash Forecasting: A Comparative Study of Machine Learning Models with Explainable AI. In Business Information Management.http://hdl.handle.net/2105/78955

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