Volatility Forecasting for S&P500 Index Returns: A Dynamic Ensemble Approach using Neural Networks and Random Forests with Synthetic Data Integration

Additional Metadata
Thesis Advisor	Akyuz, MH
Persistent URL	hdl.handle.net/2105/73442
Series	Econometrie
Organisation	Erasmus School of Economics
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	Daris Fadhilah, . (2024, September 18). Volatility Forecasting for S&P500 Index Returns: A Dynamic Ensemble Approach using Neural Networks and Random Forests with Synthetic Data Integration. Econometrie. Retrieved from http://hdl.handle.net/2105/73442

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