Asset Allocation in Emerging Market Space using Wasserstein Generative Adversarial Networks

Additional Metadata
Keywords	Emerging Markets; Generative Adversarial Networks; Wasserstein Distance; Non-Dominated Sorting Genetic Algorithm II; Mean-Semivariance Optimization
Thesis Advisor	Vermeulen, S.H.L.C.G.
Persistent URL	hdl.handle.net/2105/52478
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	Bakx, A. (2020, July 14). Asset Allocation in Emerging Market Space using Wasserstein Generative Adversarial Networks. Econometrie. Retrieved from http://hdl.handle.net/2105/52478

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