Monika Burghauserová, Yelyzaveta Apanovych, Jindřiška Vitvarová
Factors Influencing the Divergence of Precious Metals Prices
Číslo: 2/2025
Periodikum: Acta Montanistica Slovaca
DOI: 10.46544/AMS.v30i2.07
Klíčová slova: Gold price divergence, Precious metals, Economic forecasting, Neural networks, SARIMA model, Content analysis, Macroeconomic indicators
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gold prices in 2024. Using content analysis of scientific articles,
multilayer perceptron neural networks, and SARIMA modeling, the
research identifies economic and geopolitical drivers that shaped
gold market trends. The results indicate that changes in interest rates,
geopolitical tensions, and inflation expectations significantly
contributed to price volatility and record gold prices. A forecast based
on historical patterns and macroeconomic variables suggests that
gold will continue to serve as a critical safe haven asset amid global
uncertainty. The study highlights the complexity of gold price
forecasting and suggests directions for future research.