Market timing : the forecasting ability of machine learning algorithms

The present thesis analyzes whether shifts in the direction of the stock market can be predicted by supervised learning algorithms and aims to contribute to the emerging literature on the use of machine learning in finance. Previous findings on the feasibility of market timing strategies vary. Many...

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Bibliographic Details
Main Author: Dölle, Eric Marcel (author)
Format: masterThesis
Language:eng
Published: 2021
Subjects:
Online Access:http://hdl.handle.net/10400.14/35259
Country:Portugal
Oai:oai:repositorio.ucp.pt:10400.14/35259