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Forecasting inflation in Montenegro using univariate time series models

Author

Listed:
  • Milena Lipovina-Bozovic
  • Julija Cerovic
  • Sasa Vujosevic

Abstract

The analysis of price trends and their prognosis is one of the key tasks of the economic authorities in each country. Due to the nature of the Montenegrin economy as small and open economy with euro as currency, forecasting inflation is very specific which is more difficult due to low quality of the data. This paper analyzes the utility and applicability of univariate time series models for forecasting price index in Montenegro. Data analysis of key macroeconomic movements in previous decades indicates the presence of many possible determinants that could influence forecasting result. This paper concludes that the forecasting models (ARIMA) based only on its own previous values cannot adequately cover the key factors that determine the price level in the future, probably because of the existence of numerous external factors that influence the price movement in Montenegro.

Suggested Citation

  • Milena Lipovina-Bozovic & Julija Cerovic & Sasa Vujosevic, 2015. "Forecasting inflation in Montenegro using univariate time series models," Business and Economic Horizons (BEH), Prague Development Center, vol. 11(1), pages 51-63, April.
    • Handle: RePEc:pdc:jrnbeh:v:11:y:2015:i:1:p:51-63
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    More about this item

    Keywords

    Price index; inflation forecasting; AR(I)MA model; forecast error;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • 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
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

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