IDEAS home Printed from https://ideas.repec.org/p/hep/macppr/201201.html
   My bibliography  Save this paper

Forecasting the Euro: Do Forecasters Have an Asymmetric Loss Function?

Author

Listed:
  • Ulrich Fritsche

    (Department for Socioeconomics, Department for Economics, University of Hamburg)

  • Christian Pierdzioch

    (Helmut-Schmidt-University, Department of Economics)

  • Jan-Christoph Ruelke

    (WHU – Otto Beisheim School of Management)

  • Georg Stadtmann

    (University of Southern Denmark, Department of Business and Economics, and European-University Viadrina)

Abstract

Based on the approach advanced by Elliott et al. (Rev. Ec. Studies. 72, 1197-1125,2005), we analyzed whether the loss function of a sample of exchange rate forecasters is asymmetric in the forecast error. Using forecasts of the euro/dollar exchange rate, we found that the shape of the loss function varies across forecasters. Our empirical results suggest that it is important to account for the heterogeneity of exchange rate forecasts at the microeconomic level of individual forecasters when one seeks to analyze whether forecasters form exchange rate forecasts under an asymmetric loss function.

Suggested Citation

  • 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.
    • Handle: RePEc:hep:macppr:201201
    as

    Download full text from publisher

    File URL: https://www.wiso.uni-hamburg.de/repec/hepdoc/macppr_1_2012.pdf
    File Function: First version, 2012
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Benassy-Quere, Agnes & Larribeau, Sophie & MacDonald, Ronald, 2003. "Models of exchange rate expectations: how much heterogeneity?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 13(2), pages 113-136, April.
    2. 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.
    3. David Laster & Paul Bennett & In Sun Geoum, 1999. "Rational Bias in Macroeconomic Forecasts," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(1), pages 293-318.
    4. Boero, Gianna & Smith, Jeremy & Wallis, Kenneth F., 2008. "Evaluating a three-dimensional panel of point forecasts: The Bank of England Survey of External Forecasters," International Journal of Forecasting, Elsevier, vol. 24(3), pages 354-367.
    5. G. A. Christodoulakis & E. C. Mamatzakis, 2009. "Assessing the prudence of economic forecasts in the EU," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 583-606.
    6. 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.
    7. Macdonald, Ronald & Marsh, Ian W., 1996. "Currency forecasters are heterogeneous: confirmation and consequences," Journal of International Money and Finance, Elsevier, vol. 15(5), pages 665-685, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Ulrich Fritsche & Christian Pierdzioch & Jan-Christoph R�lke & Georg Stadtmann, 2014. "A Note on Forecasting the Euro: Do Forecasters Have an Asymmetric Loss Function?," International Economic Journal, Taylor & Francis Journals, vol. 28(2), pages 333-343, June.
    3. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2013. "A note on forecasting the prices of gold and silver: Asymmetric loss and forecast rationality," The Quarterly Review of Economics and Finance, Elsevier, vol. 53(3), pages 294-301.
    4. Frenkel, Michael & Rülke, Jan-Christoph & Zimmermann, Lilli, 2013. "Do private sector forecasters chase after IMF or OECD forecasts?," Journal of Macroeconomics, Elsevier, vol. 37(C), pages 217-229.
    5. Frenkel, Michael & Rülke, Jan-Christoph & Stadtmann, Georg, 2009. "Two currencies, one model? Evidence from the Wall Street Journal forecast poll," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(4), pages 588-596, October.
    6. Pierdzioch, Christian & Schäfer, Dirk & Stadtmann, Georg, 2010. "Fly with the eagles or scratch with the chickens? Zum Herdenverhalten von Wechselkursprognostikern," Discussion Papers 287, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    7. 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.
    8. Demetrescu, Matei & Hacıoğlu Hoke, Sinem, 2019. "Predictive regressions under asymmetric loss: Factor augmentation and model selection," International Journal of Forecasting, Elsevier, vol. 35(1), pages 80-99.
    9. Jörg Döpke & Ulrich Fritsche & Boriss Siliverstovs, 2010. "Evaluating German business cycle forecasts under an asymmetric loss function," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2010(1), pages 1-18.
    10. Koske, Isabell & Stadtmann, Georg, 2009. "Exchange rate expectations: The role of person specific forward looking variables," Economics Letters, Elsevier, vol. 105(3), pages 221-223, December.
    11. Tsuchiya, Yoichi, 2016. "Assessing macroeconomic forecasts for Japan under an asymmetric loss function," International Journal of Forecasting, Elsevier, vol. 32(2), pages 233-242.
    12. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2012. "On the loss function of the Bank of Canada: A note," Economics Letters, Elsevier, vol. 115(2), pages 155-159.
    13. Deschamps, Bruno & Ioannidis, Christos, 2013. "Can rational stubbornness explain forecast biases?," Journal of Economic Behavior & Organization, Elsevier, vol. 92(C), pages 141-151.
    14. Imane El Ouadghiri, 2015. "Heterogeneity in Macroeconomic News Expectations: A disaggregate level analysis," Working Papers hal-04141409, HAL.
    15. Christian Pierdzioch & Jan-Christoph Rülke & Georg Stadtmann, 2012. "Exchange-rate forecasts and asymmetric loss: empirical evidence for the yen/dollar exchange rate," Applied Economics Letters, Taylor & Francis Journals, vol. 19(18), pages 1759-1763, December.
    16. Ruelke, Jan C. & Frenkel, Michael R. & Stadtmann, Georg, 2010. "Expectations on the yen/dollar exchange rate - Evidence from the Wall Street Journal forecast poll," Journal of the Japanese and International Economies, Elsevier, vol. 24(3), pages 355-368, September.
    17. George Christodoulakis & Konstantinos Stathopoulos & Nikolaos Tessaromatis, 2012. "The term structure of loss preferences and rationality in analyst earnings forecasts," Journal of Asset Management, Palgrave Macmillan, vol. 13(5), pages 310-326, October.
    18. Matei Demetrescu & Mu-Chun Wang, 2014. "Incorporating Asymmetric Preferences into Fan Charts and Path Forecasts," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(2), pages 287-297, April.
    19. Imane El Ouadghiri, 2015. "Heterogeneity in Macroeconomic News Expectations: A disaggregate level analysis," EconomiX Working Papers 2015-17, University of Paris Nanterre, EconomiX.
    20. Michael Frenkel & Jan Christoph Rülke & Lilli Zimmermann, 2011. "Do Current Account Forecasters Herd? – Evidence from the Euro Area and the G7 Countries," WHU Working Paper Series - Economics Group 11-01, WHU - Otto Beisheim School of Management.

    More about this item

    Keywords

    Exchange rate; Forecasting; Loss function;
    All these keywords.

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hep:macppr:201201. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ulrich Fritsche (email available below). General contact details of provider: https://edirc.repec.org/data/dwuhhde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.