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A Machine Learning based Pairs Trading Investment StrategyConclusions and Future Work

A Machine Learning based Pairs Trading Investment Strategy: Conclusions and Future Work [This chapter compiles the main findings of this work. It provides an answer to each research question motivating this work, as well as additional inferences from the results obtained. Additionally, it outlines possible directions for future work.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Machine Learning based Pairs Trading Investment StrategyConclusions and Future Work

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Publisher
Springer International Publishing
Copyright
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
ISBN
978-3-030-47250-4
Pages
103 –104
DOI
10.1007/978-3-030-47251-1_7
Publisher site
See Chapter on Publisher Site

Abstract

[This chapter compiles the main findings of this work. It provides an answer to each research question motivating this work, as well as additional inferences from the results obtained. Additionally, it outlines possible directions for future work.]

Published: Jul 14, 2020

Keywords: Pairs trading; Unsupervised learning; Time-series forecasting; Deep learning

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