Proceedings of the 2nd International Conference on Social Science, Public Health and Education (SSPHE 2018)

The Prediction of Gold Price Using ARIMA Model

Authors
Xiaohui Yang
Corresponding Author
Xiaohui Yang
Available Online January 2019.
DOI
10.2991/ssphe-18.2019.66How to use a DOI?
Keywords
Forecast, gold price, ARIMA model
Abstract

Although,2016 and 2017 have risen, the international gold price has been in the doldrums since 2013. The volatility of gold prices will have a profound effect on the investment decisions of individuals, enterprises and countries. This study focuses on the figure of gold prices from July 2013 to June 2018 according to the World Gold Council, and aims to forecast and analyze daily gold price of USD in the first half of the month of July 2018 through the establishment of ARIMA model. This study also uses AC, PAC, AIC, BIC to estimate the accuracy of models. Empirical outcomes demonstrate that ARIMA (3, 1, 2) is the finest model to predict the gold price of USD. The estimate outcomes of ARIMA Model are vital for people to understand the efficiency of gold prices and make great investment choices.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Social Science, Public Health and Education (SSPHE 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
January 2019
ISBN
978-94-6252-653-2
ISSN
2352-5398
DOI
10.2991/ssphe-18.2019.66How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Xiaohui Yang
PY  - 2019/01
DA  - 2019/01
TI  - The Prediction of Gold Price Using ARIMA Model
BT  - Proceedings of the 2nd International Conference on Social Science, Public Health and Education (SSPHE 2018)
PB  - Atlantis Press
SP  - 273
EP  - 276
SN  - 2352-5398
UR  - https://doi.org/10.2991/ssphe-18.2019.66
DO  - 10.2991/ssphe-18.2019.66
ID  - Yang2019/01
ER  -