Advances in Economics, Management and Political Sciences

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Proceedings of the 2nd International Conference on Financial Technology and Business Analysis

Series Vol. 50 , 01 December 2023


Open Access | Article

Time Series Analysis of LBMA Gold Price and Its Relationship with Stock Price

Pengjiang Yu * 1
1 School of Economics, Zhejiang University of Finance and Economics, Hangzhou, 310018, China

* Author to whom correspondence should be addressed.

Advances in Economics, Management and Political Sciences, Vol. 50, 75-83
Published 01 December 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Pengjiang Yu. Time Series Analysis of LBMA Gold Price and Its Relationship with Stock Price. AEMPS (2023) Vol. 50: 75-83. DOI: 10.54254/2754-1169/50/20230556.

Abstract

With the continuous development of modern financial system, the gold market and stock market have gradually become a hot topic of research in the financial field. Many scholars have conducted deep research on gold and stock price. The ARIMA model is used in this paper to investigate the time series of the gold price and its relationship with stock price by using LBMA gold price and S&P 500 Index data between 1980 and 2022. According to the results of research, the gold price shows an upward trend over the entire period and would fluctuate within a certain range in short term. Moreover, gold price is positively related with stock price. And when there is a rise in gold price, there would be a rise in stock price. This study uses newer data to fill the gaps in the field and provide reference for investors and central banks. Finally, this paper has some shortcomings. The study should further discuss the optimality of the model and data.

Keywords

gold price, stock price, ARIMA model

References

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Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 2nd International Conference on Financial Technology and Business Analysis
ISBN (Print)
978-1-83558-147-6
ISBN (Online)
978-1-83558-148-3
Published Date
01 December 2023
Series
Advances in Economics, Management and Political Sciences
ISSN (Print)
2754-1169
ISSN (Online)
2754-1177
DOI
10.54254/2754-1169/50/20230556
Copyright
01 December 2023
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated