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Non-linear modelling of daily exchange rate returns, volatility, and 'news' in a small developing economy

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  • Jose Sanchez-Fung

Abstract

This paper models daily returns, volatility, and 'news' in the parallel foreign exchange market of a small developing economy, namely the Dominican Republic, during the period 1989-2001. The research adopts a non-linear specification that encompasses several members of the GARCH family. A leftward tilted news impact reveals that positive shocks (depreciations) have a higher impact than negative ones (appreciations) on the volatility of exchange rate returns. This result has significant implications for policymakers. For instance, it could help in the assessment of the potential effect of central bank interventions in the foreign exchange rate market.

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  • Jose Sanchez-Fung, 2003. "Non-linear modelling of daily exchange rate returns, volatility, and 'news' in a small developing economy," Applied Economics Letters, Taylor & Francis Journals, vol. 10(4), pages 247-250.
    • Handle: RePEc:taf:apeclt:v:10:y:2003:i:4:p:247-250
    DOI: 10.1080/1350485032000050635
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    1. Bollerslev, Tim & Ghysels, Eric, 1996. "Periodic Autoregressive Conditional Heteroscedasticity," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(2), pages 139-151, April.
    2. Hentschel, Ludger, 1995. "All in the family Nesting symmetric and asymmetric GARCH models," Journal of Financial Economics, Elsevier, vol. 39(1), pages 71-104, September.
    3. Engle, Robert F & Ng, Victor K, 1993. "Measuring and Testing the Impact of News on Volatility," Journal of Finance, American Finance Association, vol. 48(5), pages 1749-1778, December.
    4. Pagan, Adrian R. & Schwert, G. William, 1990. "Alternative models for conditional stock volatility," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 267-290.
    5. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    6. Jose Sanchez-Fung, 1999. "Efficiency of the black market for foreign exchange and PPP: the case of the Dominican Republic," Applied Economics Letters, Taylor & Francis Journals, vol. 6(3), pages 173-176.
    7. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    8. International Monetary Fund, 1999. "Dominican Republic: Selected Issues," IMF Staff Country Reports 1999/117, International Monetary Fund.
    9. Bollerslev, Tim, 1987. "A Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return," The Review of Economics and Statistics, MIT Press, vol. 69(3), pages 542-547, August.
    10. Engle, Robert F & Lilien, David M & Robins, Russell P, 1987. "Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model," Econometrica, Econometric Society, vol. 55(2), pages 391-407, March.
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    Cited by:

    1. Naeem Ur Rehman Khattak & Muhammad Tariq & Jangraiz Khan, 2012. "Factors Affecting the Nominal Exchange Rate of Pakistan: An Econometric Investigation (1982-2008)," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 2(2), pages 421-428, June.

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    More about this item

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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