A Forecast Analysis of the Gold Stock Price Using ARIMA Model | Chapter 37 | Theoretical Key Issues and Practical Development Trends of China’s Digital Economy

This paper proposes a time series method using the ARIMA model to forecast gold-stock prices. It involves data preprocessing, model building, tuning, prediction, and result analysis to guide investment decisions. The ARIMA model, with its selection and validation processes, demonstrates strong performance in predicting gold prices over four months. Comprehensive analysis considers macroeconomic, geopolitical, and market fundamentals influencing gold prices. The research emphasizes the significance of understanding and modeling gold's behavior for preserving wealth in a volatile financial landscape.

 

Author (s) Details

 

Wenbo Lyu
Saxo Fintech Business School, University of Sanya, Sanya, 572000, China.

 

Yi Yang
Saxo Fintech Business School, University of Sanya, Sanya, 572000, China.

 

Zhiyuan Li
Saxo Fintech Business School, University of Sanya, Sanya, 572000, China.

 

Jiale Niu
Saxo Fintech Business School, University of Sanya, Sanya, 572000, China.

 

Yuhan Li
Saxo Fintech Business School, University of Sanya, Sanya, 572000, China.

 

 

Please see the book here:- https://doi.org/10.9734/bpi/mono/978-93-48388-89-6/CH37