Ten Applications of Financial Machine Learning

This article reviews ten notable financial applications where ML has moved beyond hype and proven its usefulness. This success does not mean that the use of ML in finance does not face important challenges. The main conclusion is that there is a strong case for applying ML to current financial problems, and that financial ML has a promising future ahead.For a presentation on this topic, see "https://ssrn.com/abstract=3197726" https://ssrn.com/abstract=3197726

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Year of publication:	2019
Authors:	Lopez de Prado, Marcos
Publisher:	[2019]: [S.l.] : SSRN
Subject:	Künstliche Intelligenz \| Artificial intelligence \| Finanzmathematik \| Mathematical finance \| Finanzanalyse \| Financial analysis \| Datenverarbeitung \| Data processing

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Extent:	1 Online-Ressource (16 p)
Type of publication:	Book / Working Paper
Language:	English
Notes:	Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments September 22, 2019 erstellt
Other identifiers:	10.2139/ssrn.3365271 [DOI]
Classification:	G0 - Financial Economics. General ; G1 - General Financial Markets ; G2 - Financial Institutions and Services ; G15 - International Financial Markets ; G24 - Investment Banking; Venture Capital; Brokerage ; E44 - Financial Markets and the Macroeconomy
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10012889300