Forecasting Stock Indexes using ARIMA, SVR, ANN, Deep Belief Networks, Combined and Hybrid Forecasting Models : The cases of S&P 500, FTSE 100, BIST 100 and TAIEX

Additional Metadata
Keywords	ARIMA, ANN, SVR, DBN, Stock indexes, Hybrid modelling, Combined forecasting models
Thesis Advisor	Surucu, Ezgi Avci, Crisostomo Pereira Belo, R.
Persistent URL	hdl.handle.net/2105/40667
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	Kießling, Nico. (2017, August 31). Forecasting Stock Indexes using ARIMA, SVR, ANN, Deep Belief Networks, Combined and Hybrid Forecasting Models : The cases of S&P 500, FTSE 100, BIST 100 and TAIEX. Business Information Management. Retrieved from http://hdl.handle.net/2105/40667

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