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Journal article

Slow momentum with fast reversion: a trading strategy using deep learning and changepoint detection

Abstract:

Momentum strategies are an important part of alternative investments and are at the heart of the work of commodity trading advisors. These strategies have, however, been found to have difficulties adjusting to rapid changes in market conditions, such as during the 2020 market crash. In particular, immediately after momentum turning points, when a trend reverses from an uptrend (downtrend) to a downtrend (uptrend), time-series momentum strategies are prone to making bad bets. To improve the re...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.3905/jfds.2021.1.081

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0002-9305-9268
Publisher:
Portfolio Management Research Publisher's website
Journal:
The Journal of Financial Data Science Journal website
Volume:
4
Issue:
1
Pages:
111-129
Publication date:
2022-12-09
Acceptance date:
2022-12-01
DOI:
EISSN:
2640-3951
ISSN:
2640-3943
Language:
English
Keywords:
Pubs id:
1251189
Local pid:
pubs:1251189
Deposit date:
2023-01-20

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