Proceedings of the International Workshop on Advances in Deep Learning for Image Analysis and Computer Vision (IWADIC 2025)

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The Summary of Price Prediction Methods of Gold-related Financial Products

Authors
Hengxin Hua1, *
1School of Mathematics and Statistics, Northeastern University at Qinhuangdao, Qinhuangdao, Hebei, China
*Corresponding author. Email: 202412632@stu.neuq.edu.cn
Corresponding Author
Hengxin Hua
Available Online 24 April 2026.
DOI
10.2991/978-94-6239-648-7_67How to use a DOI?
Keywords
Gold-related Financial; SVMD-Hurst-HLR Model; DPformer Hybrid Model; MA-GRU Model
Abstract

After the dismantling of the Bretton Woods System, the financial attributes of gold are gradually emerging, more and more gold-related financial products appear in the market in recent years, such as gold futures and so on. The price of gold-related financial products has reflected and influenced economic development and people’s livelihood. So, the price prediction of gold-related financial products is important. The article will introduce the most advanced hybrid models for the prediction, such as SVMD-Hurst-HLP and so on. Compared with traditional single models, these hybrid models have characteristics of a high accuracy rate. Meanwhile, they also have other problems, such as the high computing power requirement is high and complex operation. Although the present hybrid models have already had sufficient accuracy and strong adaptability, they will also exhibit large prediction deviations when faced with Extreme black swan events. And the large predicted cost has stopped the model from spreading and application. So, it will be one of the most important research directions that reduce the prediction deviation of extreme black swan events and the prediction cost of these hybrid models.

Copyright
© 2026 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 International Workshop on Advances in Deep Learning for Image Analysis and Computer Vision (IWADIC 2025)
Series
Advances in Computer Science Research
Publication Date
24 April 2026
ISBN
978-94-6239-648-7
ISSN
2352-538X
DOI
10.2991/978-94-6239-648-7_67How to use a DOI?
Copyright
© 2026 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  - Hengxin Hua
PY  - 2026
DA  - 2026/04/24
TI  - The Summary of Price Prediction Methods of Gold-related Financial Products
BT  - Proceedings of the International Workshop on Advances in Deep Learning for Image Analysis and Computer Vision (IWADIC 2025)
PB  - Atlantis Press
SP  - 620
EP  - 626
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-648-7_67
DO  - 10.2991/978-94-6239-648-7_67
ID  - Hua2026
ER  -