Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)

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The Performances of Different Trading Strategy for Hegde Funds Based on Data Analysis

Authors
Wanruo Chen1, Yao Deng2, Lianxiu Wang3, *
1School of International Business, Chongqing Technology and Business University, Chongqing, China
2School of Management, Jinan University, Guangzhou, China
3School of financial management, Hefei Normal University, Hefei, China
*Corresponding author. Email: 1811441032@stu.hfnu.edu.cn
Corresponding Author
Lianxiu Wang
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-042-8_119How to use a DOI?
Keywords
Market Neutral; Merger Arbitrage; Momentum Strategy
Abstract

The investment strategies of hedge funds are diversified. In the face of changing market conditions, it remains unclear whether the hedging strategy will be affected by external factors within a specific period, resulting in abnormal performance or not. On this basis, we investigate the performance of three well-known hedge funds trades (market neutral trade, merger arbitrage and momentum) in terms of data during January to March in 2022. Meanwhile, we explore the relevance between the success and failure of the trade and the strategy, and whether there are other factors that affect the effectiveness of the strategy in the trade. According to the analysis, even in the face of sudden changes in the international situation (e.g., the Russian Ukrainian war), the fluctuation of stock price is not as intense as expected. These results shed light on the effectiveness of hedging strategies is different for different portfolios.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
Series
Advances in Computer Science Research
Publication Date
29 December 2022
ISBN
10.2991/978-94-6463-042-8_119
ISSN
2352-538X
DOI
10.2991/978-94-6463-042-8_119How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Wanruo Chen
AU  - Yao Deng
AU  - Lianxiu Wang
PY  - 2022
DA  - 2022/12/29
TI  - The Performances of Different Trading Strategy for Hegde Funds Based on Data Analysis
BT  - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
PB  - Atlantis Press
SP  - 835
EP  - 842
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-042-8_119
DO  - 10.2991/978-94-6463-042-8_119
ID  - Chen2022
ER  -