Forecasting world gold prices: evidence in eight countries / Hernani Abdon and Charlyn Gorgonio.
Material type:
ArticlePublication details: Davao City, Philippines : Jose Maria College Foundation, Inc., 2023. Subject(s): Forecasting | Gold price -- Forecasting | Time-series forecasting | Regression-against-time | Gold -- Public demand in market | Quantitative research | Research | Research Development and Publication Office (RDPO) | Journal articles (Open access) | Theses and dissertationsOnline resources: Click here to access online
In:
Business and Organization Studies e-Journal , volume 1, number 2 (2023).Summary: Abstract : The study seeks to monitor global gold prices on the demand side using time-series analysis. Moreover, the study intends to elicit from mining key players the value of gold price forecasting at the production level. Quarterly data from 2010 on the prevailing prices of gold prices from eight key countries were estimated using regression against time (RAT) model patterned from the simple linear regression equation. Results revealed that the eight gold price time-series are fluctuating at various months, depending on the demand for gold. while time is a significant function for world gold prices in terms of U.S. dollars, Swiss francs and the Chinese renminbi find time as an insignificant predictor of gold price fluctuation. Implications were discussed.
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JMCFI - Research Publication (Online)
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LRC - College (Main) | Link to resource | Available |
Abstract : The study seeks to monitor global gold prices on the demand side using time-series analysis. Moreover, the study intends to elicit from mining key players the value of gold price forecasting at the production level. Quarterly data from 2010 on the prevailing prices of gold prices from eight key countries were estimated using regression against time (RAT) model patterned from the simple linear regression equation. Results revealed that the eight gold price time-series are fluctuating at various months, depending on the demand for gold. while time is a significant function for world gold prices in terms of U.S. dollars, Swiss francs and the Chinese renminbi find time as an insignificant predictor of gold price fluctuation. Implications were discussed.
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