A COMPARISON OF FORECASTING METHODS FOR PREDICTING THE GOLD ORNAMENTS SELLING PRICE

Authors

  • Warangkhana Riansut Department of Mathematics and Statistics, Faculty of Science, Thaksin University, Phatthalung Campus.

Keywords:

Gold Ornaments, Box-Jenkins, Holt, Brown, Damped

Abstract

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: gif.latex?\hat{Y} = 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

Download data is not yet available.

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. Thesis, Master of Engineer (Engineering Management). Bangkok: 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

2024-04-30

How to Cite

Riansut, W. (2024). A COMPARISON OF FORECASTING METHODS FOR PREDICTING THE GOLD ORNAMENTS SELLING PRICE. Srinakharinwirot University Journal of Sciences and Technology, 16(31, January-June), 1–10, Article 253646. Retrieved from https://ph02.tci-thaijo.org/index.php/swujournal/article/view/253646