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Forecasting performance of Logistic STAR exchange rate model: The original and reparameterised versions

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  • Liew, Venus Khim-Sen
  • Baharumshah, Ahmad Zubaidi
  • Lau, Sie-Hoe

Abstract

Exponential Smooth Transition Autoregressive (ESTAR) model is widely adopted in the exchange rate study as its symmetrical distribution matches that of the symmetrical exchange rate adjustment behaviour. In contrast, another specification of STAR model, namely the LSTAR (logistic STAR) model is discarded by most researchers in priori in their exchange rate modeling exercises due to its undesired property of being asymmetry. This study is the first of its kind in examining the validity of this hypothesis that the ESTAR exchange rate model is superior to LSTAR exchange rate model on the basis of forecasting accuracy. Based on the experience of the adjustment process of two nominal exchange rates, we find that the hypothesis is merely theoretical since we fail to provide consistent empirical evidence in favour of the null hypothesis. This warrants us that we need not be too pessimistic on the usage of LSTAR model in exchange rate study. In our effort to rekindle the usage of LSTAR model, we further reparameterized the original version into the so-called absolute version, which has symmetrical distribution properties, in accordance with the well-known symmetrical adjustment process of exchange rate. The resulting ALSTAR model has proven to be a more promising model in the sense that it has improved significantly from its original version as well as the ESTAR model, which has thus far been deemed the most appropriate nonlinear exchange rate model.

Suggested Citation

  • Liew, Venus Khim-Sen & Baharumshah, Ahmad Zubaidi & Lau, Sie-Hoe, 2002. "Forecasting performance of Logistic STAR exchange rate model: The original and reparameterised versions," MPRA Paper 511, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:511
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    References listed on IDEAS

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    1. Terasvirta, T & Anderson, H M, 1992. "Characterizing Nonlinearities in Business Cycles Using Smooth Transition Autoregressive Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages 119-136, Suppl. De.
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    3. Venus Khim-Sen Liew & Ahmad Zubaidi Baharumshahb & Evan Laub, 2004. "Nonlinear Adjustment towards Purchasing Power Parity in ASEAN Exchange Rates," The IUP Journal of Applied Economics, IUP Publications, vol. 0(6), pages 7-18, November.
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    Cited by:

    1. McMillan, David G., 2009. "The confusing time-series behaviour of real exchange rates: Are asymmetries important?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(4), pages 692-711, October.
    2. Derek Bond & Michael J. Harrison & Edward J. O'Brien, 2006. "Purchasing Power Parity: The Irish Experience Re-visited," Trinity Economics Papers tep200615, Trinity College Dublin, Department of Economics.
    3. Lin, Jeng-Bau & Liang, Chin-Chia & Yeh, Ming-Liang, 2011. "Examining nonlinear dynamics of exchange rates and forecasting performance based on the exchange rate parity of four Asian economies," Japan and the World Economy, Elsevier, vol. 23(2), pages 79-85, March.

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    More about this item

    Keywords

    LSTAR; ESTAR; forecasting accuracy; nonlinear; exchange rate;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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