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ESTIMASI NILAI TUKAR RUPIAH PASKA KRISIS: Pendekatan Model Komposit

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  • Jardine Ariena Husman

    (Bank Indonesia)

Abstract

This paper examines the factors that determined the Indonesian rupiah against US dollar nominal exchange rate post crisis period. The effect of the oil prices and the interaction of supply and demand in the foreign exchange market are included as part of explanatory variables besides other fundamentals, using an Error Correction Model (ECM). The use of composite model that incorporates a number of familiar approaches in exchange rate determination is found to outperform the model based on one single approach in term of their forecast performance. The estimation results show that the increase in oil price will depreciate the rupiah exchange rate and that risk factor is the most important factor that influences the rupiah development.

Suggested Citation

  • Jardine Ariena Husman, 2005. "ESTIMASI NILAI TUKAR RUPIAH PASKA KRISIS: Pendekatan Model Komposit," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 8(3), pages 1-24, December.
  • Handle: RePEc:idn:journl:v:8:y:2005:i:3:p:1-24
    DOI: https://doi.org/10.21098/bemp.v8i3.139
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    Citations

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    Cited by:

    1. Sugeng & M. Noor Nugroho & Ibrahim & Yanfitri, 2010. "Pengaruh Dinamika Penawaran dan Permintaan Valas terhadap Nilai Tukar Rupiah dan Kinerja Perekonomian Indonesia," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 12(3), pages 289-328, January.
    2. Sugeng & M. Noor Nugroho & Ibrahim & Yanfitri, 2010. "Effects of Foreign Exchange Supply and Demand Dynamics to Rupiah Exchange Rate and Economic Performance," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 12(3), pages 289-328, January.

    More about this item

    Keywords

    Exchange Rate; ECM; composite model; BEER; CEER; forecasting; political risk; economic risk; financial risk;
    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
    • 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
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications

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