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Assessment of Consensus Forecasts Accuracy: The Czech National Bank Perspective

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  • Filip Novotny
  • Marie Rakova

Abstract

Consensus Economics forecasts for euro-area GDP growth, consumer and producer price inflation and the USD/EUR exchange rate are used by the Czech National Bank to make assumptions about future external economic developments. This paper compares the accuracy of the aforementioned Consensus forecasts to those of the European Commission, International Monetary Fund and Organization for Economic Co-operation and Development, and also to the naive forecast and the forecast implied by the forward exchange rate. In the period from 1994 to 2009 Consensus forecasts for effective euro-area consumer price inflation and GDP growth beat the alternatives by a difference which is typically statistically significant. The results are more diverse for the pre-crisis sample (1994–2007). The Consensus forecast for euro-area producer price inflation significantly outperforms the naive forecast in the short-term. Finally, the Consensus forecast for the USD/EUR exchange rate during the period from 2002 to 2009 is more precise than the naive forecast and the forecast implied by the forward rate.

Suggested Citation

  • Filip Novotny & Marie Rakova, 2010. "Assessment of Consensus Forecasts Accuracy: The Czech National Bank Perspective," Working Papers 2010/14, Czech National Bank.
  • Handle: RePEc:cnb:wpaper:2010/14
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    1. Batchelor, Roy, 2007. "Bias in macroeconomic forecasts," International Journal of Forecasting, Elsevier, vol. 23(2), pages 189-203.
    2. Jonas Dovern & Ulrich Fritsche & Jiri Slacalek, 2012. "Disagreement Among Forecasters in G7 Countries," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1081-1096, November.
    3. Stock, James H. & Watson, Mark W., 1999. "Forecasting inflation," Journal of Monetary Economics, Elsevier, vol. 44(2), pages 293-335, October.
    4. Roy Batchelor, 2007. "Forecaster Behaviour and Bias in Macroeconomic Forecasts," ifo Working Paper Series 39, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    5. Ang, Andrew & Bekaert, Geert & Wei, Min, 2007. "Do macro variables, asset markets, or surveys forecast inflation better?," Journal of Monetary Economics, Elsevier, vol. 54(4), pages 1163-1212, May.
    6. Ager, P. & Kappler, M. & Osterloh, S., 2009. "The accuracy and efficiency of the Consensus Forecasts: A further application and extension of the pooled approach," International Journal of Forecasting, Elsevier, vol. 25(1), pages 167-181.
    7. Mr. Allan Timmermann, 2006. "An Evaluation of the World Economic Outlook Forecasts," IMF Working Papers 2006/059, International Monetary Fund.
    8. Carlos Bowles & Roberta Friz & Veronique Genre & Geoff Kenny & Aidan Meyler & Tuomas Rautanen, 2007. "The ECB survey of professional forecasters (SPF) – A review after eight years’ experience," Occasional Paper Series 59, European Central Bank.
    9. Robert A. Eisenbeis & Daniel F. Waggoner & Tao Zha, 2002. "Evaluating Wall Street Journal survey forecasters: a multivariate approach," FRB Atlanta Working Paper 2002-8, Federal Reserve Bank of Atlanta.
    10. Jan Babecky & Jiri Podpiera, 2008. "Inflation Forecasts Errors in the Czech Republic: Evidence from a Panel of Institutions," Occasional Publications - Chapters in Edited Volumes, in: Katerina Smidkova (ed.), Evaluation of the Fulfilment of the CNB's Inflation Targets 1998-2007, chapter 6, pages 77-85, Czech National Bank.
    11. Roy Batchelor, 2001. "How useful are the forecasts of intergovernmental agencies? The IMF and OECD versus the consensus," Applied Economics, Taylor & Francis Journals, vol. 33(2), pages 225-235.
    12. Steffen Osterloh, 2008. "Accuracy and Properties of German Business Cycle Forecasts," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 54(1), pages 27-57.
    13. Croushore Dean, 2010. "An Evaluation of Inflation Forecasts from Surveys Using Real-Time Data," The B.E. Journal of Macroeconomics, De Gruyter, vol. 10(1), pages 1-32, May.
    14. Juraj Antal & Michal Hlaváèek & Roman Horváth, 2008. "Do Central Bank Forecast Errors Contribute to the Missing of Inflation Targets? The Case of the Czech Republic," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 58(09-10), pages 434-453, December.
    15. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
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    1. Oxana Babecka Kucharcukova & Alexis Derviz & Vaclav Hausenblas & Michal Hlavacek & Mark Joy & Narcisa Kadlcakova & Lubos Komarek & Zlatuse Komarkova & Tomas Konecny & Ivana Kubicova & Jitka Lesanovska, 2014. "Macroprudential Research: Selected Issues," Occasional Publications - Edited Volumes, Czech National Bank, edition 2, volume 12, number rb12/2 edited by Jan Babecky & Borek Vasicek, January.
    2. Robert Ambrisko & Vitezslav Augusta & Jan Babecky & Michal Franta & Dana Hajkova & Petr Kral & Jan Libich & Pavla Netusilova & Milan Rikovsky & Jakub Rysanek & Pavel Soukup & Petr Stehlik & Vilem Vale, 2013. "Macroeconomic Effects of Fiscal Policy," Occasional Publications - Edited Volumes, Czech National Bank, edition 2, volume 11, number rb11/2 edited by Jan Babecky & Kamil Galuscak, January.
    3. Jan Babecky & Alena Bicakova & Alexis Derviz & Tomas Havranek & Roman Horvath & Lubos Komarek & Zlatuse Komarkova & Jakub Mateju & Ke Pang & Renata Pasalicova & Zuzana Prelcova & Marie Rakova & Pierre, 2011. "Macro-Financial Linkages: Theory and Applications," Occasional Publications - Edited Volumes, Czech National Bank, edition 2, volume 9, number rb09/2 edited by Jan Babecky, January.
    4. Jose Peydro Alcalde & Sona Benecka & Alexis Derviz & Adam Gersl & Tomas Holub & Roman Horvath & Petr Jakubik & Narcisa Liliana Kadlcakova & Dorota Kowalczyk & Ivana Kubicova & Steven Ongena & Jakub Ry, 2012. "Financial Stability and Monetary Policy," Occasional Publications - Edited Volumes, Czech National Bank, edition 2, volume 10, number rb10/2 edited by Jan Babecky & Roman Horvath, January.
    5. Mihaela Bratu (Simionescu), 2012. "Improving the accuracy of consensus forecasts for the EURO area," Review of Applied Socio-Economic Research, Pro Global Science Association, vol. 4(2), pages 11-15, Decembre.
    6. Constantin Mitru? & Mihaela Bratu (Simionescu), 2013. "The Indicators’ Inadequacy and the Predictions’ Accuracy," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 9(4), pages 430-442, August.
    7. Katerina Arnostova & Jozef Barunik & Jan Filacek & Michal Franta & David Havrlant & Roman Horvath & Filip Novotny & Marie Rakova & Lubos Ruzicka & Branislav Saxa & Katerina Smidkova & Peter Toth, 2012. "Macroeconomic Forecasting: Methods, Accuracy and Coordination," Occasional Publications - Edited Volumes, Czech National Bank, edition 1, volume 10, number rb10/1 edited by Jan Babecky, January.
    8. Hamid Baghestani & Liliana Danila, 2014. "Interest Rate and Exchange Rate Forecasting in the Czech Republic: Do Analysts Know Better than a Random Walk?," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 64(4), pages 282-295, September.
    9. Kamil Galuscak & Adam Gersl & Marcela Gronychova & Petr Hlavac & Petr Jakubik & Lubos Komarek & Zlatuse Komarkova & Tomas Konecny & Jakub Seidler, 2014. "Stress-Testing Analyses of the Czech Financial System," Occasional Publications - Edited Volumes, Czech National Bank, edition 1, volume 12, number rb12/1 edited by Jan Babecky & Roman Horvath, January.
    10. Jaromir Baxa & Michal Franta & Tomas Havranek & Roman Horvath & Miroslav Plasil & Marek Rusnak & Borek Vasicek, 2013. "Transmission of Monetary Policy," Occasional Publications - Edited Volumes, Czech National Bank, edition 1, volume 11, number rb11/1 edited by Jan Babecky & Roman Horvath, January.
    11. Ondřej Čížek, 2017. "Reakční funkce Evropské centrální banky [The Reaction Function of the European Central Bank]," Politická ekonomie, Prague University of Economics and Business, vol. 2017(4), pages 424-439.
    12. Mihaela Bratu, 2013. "New Methods of Evaluating the Forecasts Accuracy: A Case Study for USA Inflation," Business and Economic Research, Macrothink Institute, vol. 3(1), pages 21-37, June.

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    More about this item

    Keywords

    Forecasting accuracy; prediction process; survey forecasts.;
    All these keywords.

    JEL classification:

    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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