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La performance di modelli non lineari per i tassi di cambio: un'applicazione con dati a diversa frequenza

  • G. Boero

    ()

  • E. Marrocu

    ()

In recent years there has been a considerable development in modelling nonlinearities and asymmetries in economic and financial variables. The aim of this work is to compare the forecasting performance of different models for the returns of some of the most traded exchange rates in terms of the US dollar, namely the French Franc (FF/$), the German Mark (DM/$) and the Japanese Yen (Y/$). We compare the relative performance of some nonlinear models and contrast them with their linear counterparts. Although we find evidence of some forecasting gains from nonlinear models, the results are sensitive to the forecast horizon and to the metric adopted to measure the forecasting accuracy. The use of data at different frequencies allows us to evaluate the possible effects of temporal aggregation.

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Paper provided by Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia in its series Working Paper CRENoS with number 200014.

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Date of creation: 2000
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Handle: RePEc:cns:cnscwp:200014
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  1. Clements, Michael P & Smith, Jeremy, 1999. "A Monte Carlo Study of the Forecasting Performance of Empirical SETAR Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(2), pages 123-41, March-Apr.
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  3. Rogoff, Kenneth, 1999. "Monetary Models of Dollar/Yen/Euro Nominal Exchange Rates: Dead or Undead?," Economic Journal, Royal Economic Society, vol. 109(459), pages F655-59, November.
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  16. Lawrence R. Glosten & Ravi Jagannathan & David E. Runkle, 1993. "On the relation between the expected value and the volatility of the nominal excess return on stocks," Staff Report 157, Federal Reserve Bank of Minneapolis.
  17. Zakoian, Jean-Michel, 1994. "Threshold heteroskedastic models," Journal of Economic Dynamics and Control, Elsevier, vol. 18(5), pages 931-955, September.
  18. Clements, M.P. & Hendry, D.F., 1992. "Forecasting in Cointegrated Systems," Economics Series Working Papers 99139, University of Oxford, Department of Economics.
  19. Clements, M.P. & Hendry, D., 1992. "On the Limitations of Comparing Mean Square Forecast Errors," Economics Series Working Papers 99138, University of Oxford, Department of Economics.
  20. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
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