A COMPARISON OF FORECASTING METHODS FOR PREDICTING THE GOLD ORNAMENTS SELLING PRICE
Keywords:
Gold Ornaments, Box-Jenkins, Holt, Brown, DampedAbstract
This study aims to compare the methods for forecasting the gold ornaments selling price between the Box-Jenkins method, Holt’s method, Brown’s method, and the damped trend method. The average monthly gold ornaments selling prices used to create the model were obtained from the Gold Traders Association from January 2012 to May 2022. For the comparison of the reliability of the forecasting methods, the minimum mean absolute percentage error (MAPE) criterion was used. The results of comparing the forecast value with the gold ornaments selling prices from June to November 2022 found that the Box-Jenkins method had the lowest error. The forecast model was as follows: t = Yt-1 + 0.33963et-1 where Yt-1 represented the gold ornaments selling price at time t – 1 and et-1 represented the error at time t – 1.
Downloads
References
Thairath Online. (2022). The history of gold and world finance. Why is it a safe asset? The more critical, the gold will be more expensive. Retrieved from https://plus.thairath.co.th/topic/business/101178
Ungprasert, Y. (2010). Forecasting for gold price by external factors that using covariance matrix method [Unpublished master’s thesis]. Silpakorn University.
Keerativibool, W., and Na-laed, D. (2013). Forecasting model of monthly gold ornament selling prices. Naresuan University Science Journal, 9(2), 65-81.
Riansut, W. (2016). Forecasting the sale prices of gold bar. Journal of Science Ladkrabang, 23(2), 41-53.
Goganutapon, K. (2020). A comparison of the forecasting for the sale price of gold bar. YRU Journal of Science and Technology, 5(1), 1-9.
Gold Traders Association. (2022). Monthly price of gold ornaments 2012 – 2022. Retrieved from https://www.goldtraders.or.th/AvgPriceList.aspx
Box, G. E. P., Jenkins, G. M., and Reinsel, G. C. (1994). Time series analysis: Forecasting and control (3rd ed). New Jersey: Prentice Hall.
Ket-iam, S. (2005). Forecasting technique (2nd ed). Songkhla: Thaksin University.
Manmin, M. (2006). Time series and forecasting. Bangkok: Foreprinting.
Finnomena. (2022). 4 Factors… Push the gold price Up!. Retrieved from https://www.finnomena.com/channel/pocketmoney-ep42-goldprice/
Montgomery, D. C., Peck, E. A., and Vining, G. G. (2006). Introduction to linear regression analysis (4th ed). New York: John Wiley & Sons.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Srinakharinwirot University Journal of Sciences and Technology
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Srinakharinwirot University Journal of Sciences and Technology is licensed Under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International (CC-BY-NC-ND 4.0) License, Unless Otherwise Stated. Please Read Journal Policies Page for More Information on Open Access, Copyright and Permissions.