Forecasting the abnormal initial returns of NASDAQ biotechnology companies' IPOs between 2018 and 2023 through the application of prediction modeling: An empirical investigation into the impact of company characteristics on abnormal initial returns

Additional Metadata
Keywords	Biotech IPO, Random forest, Prediction modelling
Thesis Advisor	Sweeney, J.R., Mehta, Sameer
Persistent URL	hdl.handle.net/2105/75153
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	Lelieveld, Michelle. (2024, August 22). Forecasting the abnormal initial returns of NASDAQ biotechnology companies' IPOs between 2018 and 2023 through the application of prediction modeling: An empirical investigation into the impact of company characteristics on abnormal initial returns. Business Information Management. Retrieved from http://hdl.handle.net/2105/75153

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