Financial Machine Learning

We survey the nascent literature on machine learning in the study of financial markets. We highlight the best examples of what this line of research has to offer and recommend promising directions for future research. This survey is designed for both financial economists interested in grasping machine learning tools, as well as for statisticians and machine learners seeking interesting financial contexts where advanced methods may be deployed

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Year of publication:	[2023]
Authors:	Kelly, Bryan T. ; Xiu, Dacheng
Publisher:	[S.l.] : SSRN
Subject:	Finanzanalyse \| Financial analysis \| Künstliche Intelligenz \| Artificial intelligence \| Finanzmathematik \| Mathematical finance \| Datenverarbeitung \| Data processing

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Extent:	1 Online-Ressource (161 p)
Series:	University of Chicago, Becker Friedman Institute for Economics Working Paper ; No. 2023-100
Type of publication:	Book / Working Paper
Language:	English
Notes:	Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments July 24, 2023 erstellt
Other identifiers:	10.2139/ssrn.4520856 [DOI]
Classification:	C33 - Models with Panel Data ; C4 - Econometric and Statistical Methods: Special Topics ; C45 - Neural Networks and Related Topics ; c55 ; c58 ; G1 - General Financial Markets ; G10 - General Financial Markets. General ; G11 - Portfolio Choice ; G12 - Asset Pricing ; G17 - Financial Forecasting
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014349505