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Modelling the Rand-Dollar Future Spot Rates: The Kalman Filter Approach

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  • Lumengo Bonga-Bonga

    (University of Johannesburg)

Abstract

This paper provides an estimation of the relationship between the forward exchange rate and the future spot rate under the hypothesis of adaptive parameter updating. The Kalman filter technique is used for this end. The better performance of the Kalman filter technique over the random walk and the ordinary least square (OLS) techniques in out-of-sample forecasts confirms that a recursive technique with time-varying coefficients is relevant for forecasting the rand-dollar future spot rates

Suggested Citation

  • Lumengo Bonga-Bonga, 2008. "Modelling the Rand-Dollar Future Spot Rates: The Kalman Filter Approach," The African Finance Journal, Africagrowth Institute, vol. 10(2), pages 60-75.
    • Handle: RePEc:afj:journl:v:10:y:2008:i:2:p:60-75
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    References listed on IDEAS

    as
    1. Wolff, Christian C P, 1987. "Time-Varying Parameters and the Out-of-Sample Forecasting Performance of Structural Exchange Rate Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(1), pages 87-97, January.
    2. Graham Elliott & Allan Timmermann, 2016. "Economic Forecasting," Economics Books, Princeton University Press, edition 1, number 10740.
    3. Pretorius, Anmar & de Beer, Jesse, 2004. "Contagion in Africa: South Africa and a troubled neighbour, Zimbabwe," Economic Modelling, Elsevier, vol. 21(4), pages 703-717, July.
    4. Lewis, Karen K, 1989. "Changing Beliefs and Systematic Rational Forecast Errors with Evidence from Foreign Exchange," American Economic Review, American Economic Association, vol. 79(4), pages 621-636, September.
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    Cited by:

    1. Mehmet Balcilar & Rangan Gupta & Clement Kyei & Mark E. Wohar, 2016. "Does Economic Policy Uncertainty Predict Exchange Rate Returns and Volatility? Evidence from a Nonparametric Causality-in-Quantiles Test," Open Economies Review, Springer, vol. 27(2), pages 229-250, April.
    2. Hyeyoen Kim & Doojin Ryu, 2013. "Forecasting Exchange Rate from Combination Taylor Rule Fundamental," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 49(S4), pages 81-92, September.
    3. Riane de Bruyn & Rangan Gupta & Renee van Eyden, 2013. "Forecasting The Rand-Dollar And Rand-Pound Exchange Rates Using Dynamic Model Averaging," Working Papers 201307, University of Pretoria, Department of Economics.
    4. Danglun Luo & Qianwei Ying, 2014. "Political Connections and Bank Lines of Credit," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 50(03), pages 5-21, May.
    5. Goodness C. Aye & Mehmet Balcilar & Adél Bosch & Rangan Gupta & Francois Stofberg, 2013. "The out-of-sample forecasting performance of non-linear models of real exchange rate behaviour: The case of the South African Rand," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 10(1), pages 121-148, April.
    6. Phungo, Muka & Bonga-Bonga, Lumengo, 2019. "An analysis of the unbiased forward rate hypothesis in developed and emerging economies," MPRA Paper 92222, University Library of Munich, Germany.

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    More about this item

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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