Prediction of COMEX Gold Futures Prices During the Epidemic Based on the ARIMA Model
- DOI
- 10.2991/978-94-6463-036-7_152How to use a DOI?
- Keywords
- COVID-19; Demand and supply; Arima model; Prediction
- ABSTRACT
Since the COVID-19 appeared in 2019, the price of gold futures has been quite different from the past. We analyzed the supply and demand of gold futures during the epidemic and found some of the reasons for the rise in gold futures prices. Besides, we expect to use the ARIMA to model the COMEX gold futures price during the epidemic and we choose 589 data from December 2, 2019, to April 4, 2022. After some testing, we found that the ARIMA(1,1,3) quite fit the actual prices, although a few points have a large gap between the predicted value and the actual value. We roughly divide these points into three intervals. By analyzing these points, we get the direction of improving the accuracy of this model and give some suggestions in the article. This article can help investors predict the price of COMEX gold futures in a short period, but it cannot completely avoid the impact of some events that have huge fluctuations in the international economy.
- Copyright
- © 2022 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
TY - CONF AU - Xinyue Feng AU - Zhixuan Fu AU - Xingyi Li PY - 2022 DA - 2022/12/31 TI - Prediction of COMEX Gold Futures Prices During the Epidemic Based on the ARIMA Model BT - Proceedings of the 2022 2nd International Conference on Economic Development and Business Culture (ICEDBC 2022) PB - Atlantis Press SP - 1032 EP - 1039 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-036-7_152 DO - 10.2991/978-94-6463-036-7_152 ID - Feng2022 ER -