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2020 | OriginalPaper | Chapter

Pairs Trading Based on Risk Hedging: An Empirical Study of the Gold Spot and Futures Trading in China

Authors : Shuze Guo, Wen Long

Published in: Data Science

Publisher: Springer Singapore

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Abstract

This paper builds a quantitative investment strategy, which is based on the pairs trading strategy, combined with the support vector machine model in machine learning, and supplements the technical indicators (RSI, SMA) to help the manufacturing and agricultural production sectors to hedge the risk of price fluctuations. An empirical study using gold spot as an example. It is finally found that the quantitative strategy proposed in this paper can well reflect the characteristics of financial markets helping the real economy to reduce risks, and has significant effectiveness in the Chinese market.

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Literature
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Xiao, J., Zhu, X., Huang, C., Yang, X., Wen, F., Zhong, M.: A new approach for stock price analysis and prediction based on SSA and SVM. Int. J. Inform. Technol. Decis. Making 18(01), 287–310 (2019)CrossRef
Metadata
Title
Pairs Trading Based on Risk Hedging: An Empirical Study of the Gold Spot and Futures Trading in China
Authors
Shuze Guo
Wen Long
Copyright Year
2020
Publisher
Springer Singapore
Book
Data Science

Print ISBN: 978-981-15-2809-5

Electronic ISBN: 978-981-15-2810-1

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-981-15-2810-1_45

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