IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/75609.html
   My bibliography  Save this paper

ARIMA ve VAR Modellerinin Tahmin Başarılarının Karşılaştırılması
[A comparison of VAR and ARIMA Models’ forecasting accuracies]

Author

Listed:
  • Bilgili, Faik

Abstract

This paper considers the forecast accuracies of VAR and ARIMA models. The paper, hence, employs monthly Turkish CPI, Exchange Rate and Interest rate variables for the period 1994:1-200:07, and, observes the ex-post forecast values of the relevant variables. To this end, paper first determines the final AR and MA parameters through ACF and PACF estimations, later, identifies the best VAR model among others through Sims, LR and SC, and, AC criteria. Eventually, statistical analyses throughout MAE, MAPE, MSE, RMSE, Theil U1 and Theil U2 criteria evaluations, this paper reveals that VAR forecast is superior to ARIMA forecast for the relevant variables.

Suggested Citation

  • Bilgili, Faik, 2001. "ARIMA ve VAR Modellerinin Tahmin Başarılarının Karşılaştırılması [A comparison of VAR and ARIMA Models’ forecasting accuracies]," MPRA Paper 75609, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:75609
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/75609/1/MPRA_paper_75609.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bilgili, Faik, 2002. "VAR, ARIMA, Üstsel Düzleme, Karma ve İlave-Faktör Yöntemlerinin Özel Tüketim Harcamalarına ait Ex Post Öngörü Başarılarının Karşılaştırılması [A Comparison of Ex-Post Forecast Accuracies for VAR, A," MPRA Paper 75536, University Library of Munich, Germany, revised 2002.

    More about this item

    Keywords

    ARIMA; VAR; ex-post forecast; ex-ante forecast; forecast accuracy; Turkish economy;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:75609. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.