Portfolio management for typical stocks and precious metal assets

Ruijie Chen; Senyang Li; Rongke Qin; Jiarui Zheng

doi:10.1117/12.2646637

23 August 2022 Portfolio management for typical stocks and precious metal assets

Ruijie Chen, Senyang Li, Rongke Qin, Jiarui Zheng

Proceedings Volume 12330, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022); 1233026 (2022) https://doi.org/10.1117/12.2646637
Event: International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022), 2022, Huzhou, China

Abstract

This paper examines and analyses the volatility of precious metal assets and the portfolios management. The innovative study of precious metal assets and equity portfolios is instructive and forward-looking under the background of global COVID-19. We use GARCH model, Markowitz model, CAPM Model and Fama-French Three-Factor Model to study volatility, asset forecasts, and the relationship between asset prices and markets. The results show that, firstly, precious metals are less volatile than stocks; secondly, precious metals, especially gold, make up a large percentage of rational riskhedged portfolios; and finally, the stock prices have an almost linear relationship with the market, but precious metal prices do not have a linear relationship with the market. Our conclusion suggests that investors should consider precious metal assets, especially gold, in addition to stocks when considering their portfolios, which helps to hedge investment risk and provides some guidance to the market.

Citation Download Citation

Ruijie Chen, Senyang Li, Rongke Qin, and Jiarui Zheng "Portfolio management for typical stocks and precious metal assets", Proc. SPIE 12330, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022), 1233026 (23 August 2022); https://doi.org/10.1117/12.2646637

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KEYWORDS

Metals

Gold

Copper

Silver

Monte Carlo methods

Autoregressive models

Statistical analysis

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