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The Forecasting Accuracy of Five Time Series Models: Evidence from the Portuguese Car Market

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  • Francisco F. R. Ramos

    (Faculty of Economics, University of Porto, Portugal)

Abstract

This paper compares the out-of-sample forecasting accuracy of five classes of time series models for market shares of the six most important Portuguese car market competitors over differents horizons. As representative time series models I employ a random-walk with drift (Naive), a univariate ARIMA, a near-VAR and a general BVAR. The out-of- sample forecasts are also compared against forecasts generated from structural econometric market share models (SEM). Using four accuracy measures I find the forecasts from the near-VAR and the BVAR models really more accurate. With regard to these models, I could say that the BVAR model is the best for longer forecasts (12-steps ahead), while the n-VAR is superior over the shorter horizon of one to six steps.

Suggested Citation

  • Francisco F. R. Ramos, 1996. "The Forecasting Accuracy of Five Time Series Models: Evidence from the Portuguese Car Market," Econometrics 9604002, University Library of Munich, Germany.
    • Handle: RePEc:wpa:wuwpem:9604002
    Note: Type of Document - Word for Windows 2.0; prepared on IBM PC ; to print on HP Laser Jet; pages: 21 ; figures: one figure and one table
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    References listed on IDEAS

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    More about this item

    Keywords

    Accuracy measures; ARIMA; Automobile market; BVAR; Market share; Portugal; Random-walk; SEM; VAR;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

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