POULTRY MEAT PRICE FORECASTING MODEL USING BOX-JENKINS METHODOLOGY

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MOGHADDASI R.; FEIZABADI Y.

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Journal: Year:2008 | Volume:13 | Issue:1 Page(s): 1-10

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Information Journal Paper

Title

POULTRY MEAT PRICE FORECASTING MODEL USING BOX-JENKINS METHODOLOGY

Author(s)

MOGHADDASI R. | FEIZABADI Y. | Issue Writer Certificate

Keywords

TIME SERIESQ3

STATIONARITYQ3

ARIMAQ3

CORRELOGRAMQ3

AUTOCORRELATION COEFFICIENTQ3

PARTIAL AUTOCORRELATION COEFFICIENTQ3

SEASONAL COMPONENTQ3

Abstract

The ARIMA procedure presents the parameter estimates for a given seasonal or non-seasonal univariate ARIMA model. It also computes the fitted values, forecasting values and other related variables for the model. The appropriate model for poultry meat price forecasting is estimated using weekly data including 112 observation in total. Using Box-Jenkins (BJ) methodology and as a result of estimating different ARIMA models, the best model including first order autoregressive and seasonal autoregressive with lag 12 is selected. It means that the actual poultry meat price can be forecasted by corresponding data on lags 1 and 12.

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APA: Copy

MOGHADDASI, R., & FEIZABADI, Y.. (2008). POULTRY MEAT PRICE FORECASTING MODEL USING BOX-JENKINS METHODOLOGY. JOURNAL OF AGRICULTURAL SCIENCES, 13(1), 1-10. SID. https://sid.ir/paper/7918/en

Vancouver: Copy

MOGHADDASI R., FEIZABADI Y.. POULTRY MEAT PRICE FORECASTING MODEL USING BOX-JENKINS METHODOLOGY. JOURNAL OF AGRICULTURAL SCIENCES[Internet]. 2008;13(1):1-10. Available from: https://sid.ir/paper/7918/en

IEEE: Copy

R. MOGHADDASI, and Y. FEIZABADI, “POULTRY MEAT PRICE FORECASTING MODEL USING BOX-JENKINS METHODOLOGY,” JOURNAL OF AGRICULTURAL SCIENCES, vol. 13, no. 1, pp. 1–10, 2008, [Online]. Available: https://sid.ir/paper/7918/en

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