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Asymmetries in the sport-forward G10 exchange rates: an answer to an old puzzle?

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Abstract

This paper provides evidence on the existence of asymmetries in the underlying loss preferences for the difference between the spot and forward nominal exchange rate. We find that, in the context of both linear and non-linear loss functions, the underlying loss preferences for monthly data are predominantly asymmetric, whilst for weekly exchange rates asymmetry tends to weaken. In a second stage we run cross section regressions to examine what variables drive this asymmetry. Interestingly, besides some macroeconomic variables, such as the growth rate and price changes, political and security risk assert some significant impact on asymmetry.

Suggested Citation

  • George Christodoulakis & Emmanuel Mamatzakis, 2008. "Asymmetries in the sport-forward G10 exchange rates: an answer to an old puzzle?," Discussion Paper Series 2008_12, Department of Economics, University of Macedonia, revised Sep 2008.
    • Handle: RePEc:mcd:mcddps:2008_12
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    References listed on IDEAS

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    1. Clarida, Richard H. & Sarno, Lucio & Taylor, Mark P. & Valente, Giorgio, 2003. "The out-of-sample success of term structure models as exchange rate predictors: a step beyond," Journal of International Economics, Elsevier, vol. 60(1), pages 61-83, May.
    2. Jeremy Berkowitz & Lorenzo Giorgianni, 2001. "Long-Horizon Exchange Rate Predictability?," The Review of Economics and Statistics, MIT Press, vol. 83(1), pages 81-91, February.
    3. Graham Elliott & Allan Timmermann & Ivana Komunjer, 2005. "Estimation and Testing of Forecast Rationality under Flexible Loss," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(4), pages 1107-1125.
    4. Meese, Richard A. & Rogoff, Kenneth, 1983. "Empirical exchange rate models of the seventies : Do they fit out of sample?," Journal of International Economics, Elsevier, vol. 14(1-2), pages 3-24, February.
    5. Mark, Nelson C. & Sul, Donggyu, 2001. "Nominal exchange rates and monetary fundamentals: Evidence from a small post-Bretton woods panel," Journal of International Economics, Elsevier, vol. 53(1), pages 29-52, February.
    6. Maurice Obstfeld & Kenneth Rogoff, 2001. "The Six Major Puzzles in International Macroeconomics: Is There a Common Cause?," NBER Chapters, in: NBER Macroeconomics Annual 2000, Volume 15, pages 339-412, National Bureau of Economic Research, Inc.
    7. Bailey, Warren & Chung, Y. Peter, 1995. "Exchange Rate Fluctuations, Political Risk, and Stock Returns: Some Evidence from an Emerging Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 30(4), pages 541-561, December.
    8. Jean-Claude Cosset & Bruno Doutriaux de la Rianderie, 1985. "Political Risk and Foreign Exchange Rates: an Efficient-Market Approach," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 16(3), pages 21-55, September.
    9. Faust, Jon & Rogers, John H. & H. Wright, Jonathan, 2003. "Exchange rate forecasting: the errors we've really made," Journal of International Economics, Elsevier, vol. 60(1), pages 35-59, May.
    10. Mark, Nelson C, 1995. "Exchange Rates and Fundamentals: Evidence on Long-Horizon Predictability," American Economic Review, American Economic Association, vol. 85(1), pages 201-218, March.
    11. Richard H. Clarida & Mark P. Taylor, 1997. "The Term Structure Of Forward Exchange Premiums And The Forecastability Of Spot Exchange Rates: Correcting The Errors," The Review of Economics and Statistics, MIT Press, vol. 79(3), pages 353-361, August.
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    Cited by:

    1. Christian Pierdzioch & Jan C Rülke & Georg Stadtmann, 2012. "Forecasting the Dollar/British Pound Exchange Rate: Asymmetric Loss and Forecast Rationality," Economics Bulletin, AccessEcon, vol. 32(3), pages 213-213.
    2. Fritsche, Ulrich & Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2015. "Forecasting the Brazilian real and the Mexican peso: Asymmetric loss, forecast rationality, and forecaster herding," International Journal of Forecasting, Elsevier, vol. 31(1), pages 130-139.
    3. Ulrich Fritsche & Christian Pierdzioch & Jan-Christoph Ruelke & Georg Stadtmann, 2012. "Forecasting the Euro: Do Forecasters Have an Asymmetric Loss Function?," Macroeconomics and Finance Series 201201, University of Hamburg, Department of Socioeconomics.

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    More about this item

    Keywords

    Asymmetric preferences; Spot-forward exchange rates; GMM estimation; Lin-Lin.;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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