Model for forecasting the export volume of frozen shrimp

Main Article Content

Warangkhana Riansut

Abstract

          The purpose of this study was to construct the model for forecasting the export volume of frozen shrimp by using data gathered from the website of Office of Agricultural Economics during January 2011 to August 2019. The data of 104 values were used and divided into 2 sets. The first set with 96 values from January 2011 to December 2018 was used for constructing the forecasting models by Box-Jenkins method, Holt’s exponential smoothing method, Brown’s exponential smoothing method, damped trend exponential smoothing method, simple seasonal exponential smoothing method, Winters’ additive exponential smoothing method, Winters’ multiplicative exponential smoothing method, and combined forecasting method. The second set with 8 values from January to August 2019 was used for comparing the accuracy of the forecasting model via the lowest mean absolute percentage error. The findings indicated that the most accurate method was the Winters’ additive exponential smoothing method.

Article Details

How to Cite
Riansut, W. (2020). Model for forecasting the export volume of frozen shrimp. RMUTSB ACADEMIC JOURNAL, 8(1), 70–82. Retrieved from https://li01.tci-thaijo.org/index.php/rmutsb-sci/article/view/219797
Section
Research Article

References

Box, G. E. P., Jenkins, G. M., & Reinsel, G. C. (1994). Time series analysis: forecasting and control. (3rd ed.). New Jersey: Prentice Hall.

IBM Corporation. (2013). Brown’s exponential smoothing (TSMODEL algorithms). Retrieved October 3, 2019, from https://www.ibm.com/support/knowledgecenter/SSLVMB_22.0.0/com.ibm.spss.statistics.algorithms/alg_tsmodel_models_exsmooth_browns.html

Keerativibool, W. (2015a). Forecasting model for the export values for fresh frozen shrimp of Thailand. KKU Science Journal, 43(1), 148-162. (in Thai)

Keerativibool, W. (2015b). Forecasting the white shrimp Litopenaeus Vannamei prices. Srinakharinwirot Science Journal, 31(1), 123-140. (in Thai)

Ket-iam, S. (2005). Forecasting technique. (2nd ed.). Songkhla: Thaksin University. (in Thai)

Nuamkhayan, W. (1996). Thailand’s export of frozen shrimps under GATT agreement: A case study of Japanese and the U.S. markets (Master’s thesis). Kasetsart university, Bangkok. (in Thai)

Manmin, M. (2006). Time series and forecasting. Bangkok: Foreprinting. (in Thai)

Matichon online. (2018). Thai shrimp export direction in the year 2019 shifted slightly. Retrieved October 3, 2019, from https://www.matichon.co.th/news-monitor/news_1271317 (in Thai)

Montgomery, D. C., Peck, E. A., & Vining, G. G. (2006). Introduction to linear regression analysis (4th ed.). New York: John Wiley and Sons.

Office of Agricultural Economics. (2019). Export statistics of fresh frozen shrimp from 2011 to 2019. Retrieved October 2, 2019, from http://impexp.oae.go.th/service/export.php?S_YEAR=2554&E_YEAR=2562&PRODUCT_GROUP=5248&wf_search=&WF_SEARCH=Y#export (in Thai)

Posttoday. (2019). Thai shrimp exports are likely to contract. Retrieved October 3, 2019, from https://www.posttoday.com/finance-stock/news/226291 (in Thai)

Riansut, W. (2018). Selection of appropriate forecasting model for the grain price of long Oryza sativa. Burapha Science Journal, 23(3), 1779-1792. (in Thai)