Advances in Economics, Management and Political Sciences

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Proceedings of the 2022 International Conference on Financial Technology and Business Analysis (ICFTBA 2022), Part 1

Series Vol. 5 , 23 April 2023


Open Access | Article

Can Hedge Fund Returns Be Predicted?

Lingyan Meng * 1 , Xiaohe He 2 , Mingxuan Zhou 3 , Xintian Han 4
1 Raffles Institution, Singapore, 575954, Singapore
2 Department of Mathematics, New York University, NYC, 10003, U.S
3 Department of Mathematics, University of Waterloo, Waterloo, N2L 3G1, Canada
4 Department of Statistics, University of Warwick, Coventry, CV4 7AL, UK

* Author to whom correspondence should be addressed.

Advances in Economics, Management and Political Sciences, Vol. 5, 88-95
Published 23 April 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Lingyan Meng, Xiaohe He, Mingxuan Zhou, Xintian Han. Can Hedge Fund Returns Be Predicted?. AEMPS (2023) Vol. 5: 88-95. DOI: 10.54254/2754-1169/5/20220066.

Abstract

After the 2008 financial crisis, hedge funds regained their popularity. Investors naturally wonder whether it is possible to predict and explain hedge fund returns just as its constituents. To answer this question, we examined hedge fund performance of 14 strategies from 2000 to 2017 by separating them into 3 groups. After deriving a statistical model, we applied it to the period of 2017-2022 and examined the errors. We observed that most strategies have a positive risk-adjusted rate of return and the current period’s returns have a positive relationship with the previous period’s. We concluded that monthly return has too much randomness while 3 strategies’ yearly returns in the middle quantile could be predicted. More historical return data can improve the accuracy of the model.

Keywords

financial market, predict, hedge funds

References

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2. Stafylas, Dimitrios, and Athanasios Andrikopoulosb. “Determinants of hedge fund performance during ‘good’ and ‘bad’ economic periods." Research in International Business and Finance 52, (2020), https://doi.org/10.1016/j.ribaf.2019.101130

3. Eurekahedge. “Eurekahedge Hedge Fund Index.” Accessed September 14, 2022. https://www.eurekahedge.com/Indices/IndexView/Eurekahedge/474/Eurekahedge-Hedge-Fund-Index

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6. Argyropoulos, Christos, Ekaterini Panopoulou, Nikolaos Voukelatos, and Teng Zheng. “Hedge fund return predictability in the presence of model risk*.” The European Journal of Finance, (2022), https://doi.org/10.1080/1351847X.2021.2020146

7. Stafylas, Dimitrios, Keith Anderson, and Moshfique Uddin. “Recent advances in explaining hedge fund returns: Implicit factors and exposures.” Global Finance Journal 33, (2017): 69-87, https://doi.org/10.1016/j.gfj.2016.08.001

8. Swartz, L. Mick, and Farrokh Emami-Langroodi. “Relative Value Hedge Funds: A Behavioral Modeling of Hedge Fund Risk and Return Factors.” Journal of Behavioral Finance, (2018): 19:4, 462-482. https://doi.org/10.1080/15427560.2018.1434654

9. The Tuck School of Business at Dartmouth College. Kenneth R. French. " Fama/French 3 Factors." Accessed September 9, 2022. https://mba.tuck.dartmouth.edu/pages/faculty/ken.french/data_library.html

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Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 2022 International Conference on Financial Technology and Business Analysis (ICFTBA 2022), Part 1
ISBN (Print)
978-1-915371-21-8
ISBN (Online)
978-1-915371-22-5
Published Date
23 April 2023
Series
Advances in Economics, Management and Political Sciences
ISSN (Print)
2754-1169
ISSN (Online)
2754-1177
DOI
10.54254/2754-1169/5/20220066
Copyright
23 April 2023
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated