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Exploration of Quantitative Investment Strategies in Commodity Futures Markets

Zibin Huang

Abstract


This paper discusses the application of quantitative investment strategy in commodity futures market. Firstly, the basic concept of
quantitative investment and its advantages in commodity futures market are expounded. Then, the trend tracking model, hedging model, seasonal model and comprehensive strategy model are constructed, and the principle and implementation method of each strategy are introduced
in detail. Through simulation experiments, the four strategies are analyzed empirically, and the yield, Sharpe ratio and maximum shrinkage
are selected as evaluation indicators. The study finds that different strategies have advantages and disadvantages in terms of returns and risks,
and investors can choose according to their needs. This research provides theoretical basis and practical reference for the application of quantitative investment strategy in commodity futures market, which has practical significance and application value.

Keywords


Quantitative Investment Strategies; Commodity Futures Market; Trend Following; Hedging Arbitrage

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References


[1] Zhu Qiang. Design of quantitative investment trading system in futures market based on CEP technology [J]. China New Technology and New Products, 2024(8):135-138.

[2] Sun Chaonan. Research on Quantitative Investment strategy of Futures based on Machine learning [D]. Central University of Finance and Economics,2023.

[3] Cheng Yijing. Research on Portfolio Strategy Performance in International Commodity Futures Market [D]. Zhongnan University

of Economics and Law,2022.

[4] Liu Yixin. Research on Futures Price prediction and Quantitative Strategy based on Deep Learning algorithm [D]. Shandong Normal University,2023.

[5] Zheng Keyang. An empirical study on risk premium in China’s commodity futures market based on skewness perspective [D].

Southwest University of Finance and Economics,2023.




DOI: http://dx.doi.org/10.18686/fm.v10i3.14055

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