Proceedings of the 2022 4th International Conference on Economic Management and Cultural Industry (ICEMCI 2022)

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Research on Influencing Factors of Oil Futures Price and Short-term Forecast

Authors
Shihan Wang1, *
1Department of Science and Technology, Beijing normal university - Hong Kong Baptist university united international college, Zhuhai, 519087, China
*Corresponding author. Email: q030018074@uic.edu.cn
Corresponding Author
Shihan Wang
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-098-5_176How to use a DOI?
Keywords
Oil futures; Stepwise regression analysis; Grey forecasting model; Grey correlation analysis; SPSS
Abstract

Oil futures market has the characteristics of avoiding risks. In addition, it is important to balance oil supply and demand. The trading volume of the oil futures market is increasing year by year, and it has become an important part of the futures market. The research on the factors of oil futures price can not only provide direction for individual investment, but also guarantee the balance between supply and demand of national oil. Combined with Chinese and foreign literature, five main factors are selected as independent variables, and a multivariate function is established with oil futures price as dependent variable by stepwise regression analysis. Because the emergency has a great influence on the oil futures price and is difficult to quantify, the grey prediction model is used to predict the oil futures price in the short term. Combined with the results of the mathematical model, effective suggestions are provided for investors in the oil futures market to reduce investment risks.

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 4th International Conference on Economic Management and Cultural Industry (ICEMCI 2022)
Series
Advances in Economics, Business and Management Research
Publication Date
27 December 2022
ISBN
10.2991/978-94-6463-098-5_176
ISSN
2352-5428
DOI
10.2991/978-94-6463-098-5_176How 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  - Shihan Wang
PY  - 2022
DA  - 2022/12/27
TI  - Research on Influencing Factors of Oil Futures Price and Short-term Forecast
BT  - Proceedings of the 2022 4th International Conference on Economic Management and Cultural Industry (ICEMCI 2022)
PB  - Atlantis Press
SP  - 1555
EP  - 1567
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-098-5_176
DO  - 10.2991/978-94-6463-098-5_176
ID  - Wang2022
ER  -