Comparative Evaluation of Forecast Accuracies for ARIMA, Exponential Smoothing and VAR

While various linear and nonlinear forecasting models exist, multivariate methods like VAR, Exponential smoothing, and Box-Jenkins' ARIMA methodology constitute the widely used methods in time series.  This paper employs series of Turkish private consumption, exports and GDP data ranging betwe...

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Main Authors: Hatice Erkekoglu, Aweng Peter Majok Garang, Adire Simon Deng
פורמט: Article
שפה:English
יצא לאור: EconJournals 2020-11-01
סדרה:International Journal of Economics and Financial Issues
גישה מקוונת:http://mail.econjournals.com/index.php/ijefi/article/view/9020
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author Hatice Erkekoglu
Aweng Peter Majok Garang
Adire Simon Deng
author_facet Hatice Erkekoglu
Aweng Peter Majok Garang
Adire Simon Deng
author_sort Hatice Erkekoglu
collection DOAJ
description While various linear and nonlinear forecasting models exist, multivariate methods like VAR, Exponential smoothing, and Box-Jenkins' ARIMA methodology constitute the widely used methods in time series.  This paper employs series of Turkish private consumption, exports and GDP data ranging between 1998: Q1 and 2017: Q4 to analyze the forecast performance of the three models using measures of accuracy such as RMSE, MAE, MAPE, Theil's  & . Seasonal decomposition and ADF unit root tests were performed to obtain new deseasonalized series and stationarity, respectively. Results offer preference for the use of ARIMA in forecasting, having performed better than VAR and exponential smoothing in all scenarios. Additionally, VAR model provided better forecast accuracy than exponential smoothing on all measures of accuracy except on Thiel's  whose VAR values were not computed. Cautionary use of ARIMA for forecasting is recommended. Keywords: Forecast Evaluation, ARIMA, Exponential Smoothing, VAR JEL Classifications: C1, E00, C51 DOI: https://doi.org/10.32479/ijefi.9020
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spelling doaj.art-a088957f07b44cb79a83cbefb82d14a92023-02-15T16:17:32ZengEconJournalsInternational Journal of Economics and Financial Issues2146-41382020-11-01106Comparative Evaluation of Forecast Accuracies for ARIMA, Exponential Smoothing and VARHatice Erkekoglu0Aweng Peter Majok Garang1Adire Simon DengErciyes UniversityErciyes University While various linear and nonlinear forecasting models exist, multivariate methods like VAR, Exponential smoothing, and Box-Jenkins' ARIMA methodology constitute the widely used methods in time series.  This paper employs series of Turkish private consumption, exports and GDP data ranging between 1998: Q1 and 2017: Q4 to analyze the forecast performance of the three models using measures of accuracy such as RMSE, MAE, MAPE, Theil's  & . Seasonal decomposition and ADF unit root tests were performed to obtain new deseasonalized series and stationarity, respectively. Results offer preference for the use of ARIMA in forecasting, having performed better than VAR and exponential smoothing in all scenarios. Additionally, VAR model provided better forecast accuracy than exponential smoothing on all measures of accuracy except on Thiel's  whose VAR values were not computed. Cautionary use of ARIMA for forecasting is recommended. Keywords: Forecast Evaluation, ARIMA, Exponential Smoothing, VAR JEL Classifications: C1, E00, C51 DOI: https://doi.org/10.32479/ijefi.9020 http://mail.econjournals.com/index.php/ijefi/article/view/9020
spellingShingle Hatice Erkekoglu
Aweng Peter Majok Garang
Adire Simon Deng
Comparative Evaluation of Forecast Accuracies for ARIMA, Exponential Smoothing and VAR
International Journal of Economics and Financial Issues
title Comparative Evaluation of Forecast Accuracies for ARIMA, Exponential Smoothing and VAR
title_full Comparative Evaluation of Forecast Accuracies for ARIMA, Exponential Smoothing and VAR
title_fullStr Comparative Evaluation of Forecast Accuracies for ARIMA, Exponential Smoothing and VAR
title_full_unstemmed Comparative Evaluation of Forecast Accuracies for ARIMA, Exponential Smoothing and VAR
title_short Comparative Evaluation of Forecast Accuracies for ARIMA, Exponential Smoothing and VAR
title_sort comparative evaluation of forecast accuracies for arima exponential smoothing and var
url http://mail.econjournals.com/index.php/ijefi/article/view/9020
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AT awengpetermajokgarang comparativeevaluationofforecastaccuraciesforarimaexponentialsmoothingandvar
AT adiresimondeng comparativeevaluationofforecastaccuraciesforarimaexponentialsmoothingandvar