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Interest Rate and Exchange Rate Forecasting in the Czech Republic: Do Analysts Know Better than a Random Walk?

Author

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  • Hamid Baghestani

    (Department of Economics, American University of Sharjah, Sharjah, UAE)

  • Liliana Danila

    (Department of Economics, American University of Sharjah, Sharjah, UAE)

Abstract

The Czech National Bank (CNB) conducts a monthly survey to collect domestic and foreign analysts’ forecasts of several economic and financial variables. Among these are the 2-week repo rate (which is the monetary policy interest rate set by the CNB), the 1-year Prague interbank offer rate and the CZK/EUR exchange rate. We ask whether the one- and twelve-month-ahead analysts’ forecasts of these indicators are accurate for 2005–2012. Our findings indicate that the one-month-ahead forecast of the repo rate and the twelve-month-ahead forecast of the exchange rate made by the domestic analysts are free of systematic bias, superior to the random walk and directionally accurate. The same is true for the one-month-ahead foreign analysts’ forecasts of the repo rate and the exchange rate. Unlike the domestic analysts’ forecasts, however, the foreign analysts’ forecasts are not efficient.

Suggested Citation

  • 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.
  • Handle: RePEc:fau:fauart:v:64:y:2014:i:4:p:282-295
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    1. Horváth, Roman & Komárek, Luboš & Rozsypal, Filip, 2011. "Does money help predict inflation? An empirical assessment for Central Europe," Economic Systems, Elsevier, vol. 35(4), pages 523-536.
    2. Elliott, Graham & Ito, Takatoshi, 1999. "Heterogeneous expectations and tests of efficiency in the yen/dollar forward exchange rate market," Journal of Monetary Economics, Elsevier, vol. 43(2), pages 435-456, April.
    3. Katerina Arnostova & David Havrlant & Luboš Rùžièka & Peter Tóth, 2011. "Short-Term Forecasting of Czech Quarterly GDP Using Monthly Indicators," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 61(6), pages 566-583, December.
    4. Frankel, Jeffrey A & Froot, Kenneth A, 1987. "Using Survey Data to Test Standard Propositions Regarding Exchange Rate Expectations," American Economic Review, American Economic Association, vol. 77(1), pages 133-153, March.
    5. Jan Babecky & Lubos Komarek & Zlatuse Komarkova, 2013. "Financial Integration at Times of Financial Instability," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 63(1), pages 25-45, March.
    6. Pesando, James E, 1979. "On the Random Walk Characteristics of Short- and Long-Term Interest Rates in an Efficient Market," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 11(4), pages 457-466, November.
    7. Filip Novotný & Marie Raková, 2011. "Assessment of Consensus Forecasts Accuracy: The Czech National Bank Perspective," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 61(4), pages 348-366, August.
    8. Jakub Muck & Pawel Skrzypczynski, 2012. "Can we beat the random walk in forecasting CEE exchange rates?," NBP Working Papers 127, Narodowy Bank Polski.
    9. Anna Naszódi, 2011. "Beating the Random Walk in Central and Eastern Europe by Survey Forecasts," MNB Working Papers 2011/3, Magyar Nemzeti Bank (Central Bank of Hungary).
    10. 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.
    11. Jesús Crespo Cuaresma & Jaroslava Hlouskova, 2005. "Beating the random walk in Central and Eastern Europe," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(3), pages 189-201.
    12. Unknown, 1986. "Letters," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 1(4), pages 1-9.
    13. Tara Sinclair & H. O. Stekler & L. Kitzinger, 2010. "Directional forecasts of GDP and inflation: a joint evaluation with an application to Federal Reserve predictions," Applied Economics, Taylor & Francis Journals, vol. 42(18), pages 2289-2297.
    14. Michal Franta & Jozef Baruník & Roman Horváth & Katerina Smídková, 2014. "Are Bayesian Fan Charts Useful? The Effect of Zero Lower Bound and Evaluation of Financial Stability Stress Tests," International Journal of Central Banking, International Journal of Central Banking, vol. 10(1), pages 159-188, March.
    15. Francis X. Diebold & Jose A. Lopez, 1995. "Forecast evaluation and combination," Research Paper 9525, Federal Reserve Bank of New York.
    16. Dominguez, Kathryn M., 1986. "Are foreign exchange forecasts rational? : New evidence from survey data," Economics Letters, Elsevier, vol. 21(3), pages 277-281.
    17. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    18. Christian Pierdzioch & Jan-Christoph Rülke & Georg Stadtmann, 2012. "A Note on Forecasting Emerging Market Exchange Rates: Evidence of Anti-herding," Review of International Economics, Wiley Blackwell, vol. 20(5), pages 974-984, November.
    19. Jesús Crespo Cuaresma & Jaroslava Hlouskova, 2004. "Forecasting exchange rates in transition economies: A comparison of multivariate time series models," Empirical Economics, Springer, vol. 29(4), pages 787-801, December.
    20. Jan Filáček & Branislav Saxa, 2012. "Central Bank Forecasts as a Coordination Device: Evidence from the Czech Republic," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 6(3), pages 244-264, October.
    21. Jan Babecký & JiÅí Podpiera, 2011. "Inflation Forecast Errors in the Czech Republic," Eastern European Economics, Taylor & Francis Journals, vol. 49(1), pages 72-83, January.
    22. 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.
    23. Adam GERŠL & Michal HLAVACEK, 2007. "Foreign Direct Investment, Corporate Finance, and the Life Cycle of Investment," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 57(9-10), pages 448-464, October.
    24. Tomáš Havránek & Roman Horváth & Jakub Matějů, 2012. "Monetary transmission and the financial sector in the Czech Republic," Economic Change and Restructuring, Springer, vol. 45(3), pages 135-155, August.
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    More about this item

    Keywords

    monetary policy; forecast evaluation; directional accuracy;
    All these keywords.

    JEL classification:

    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - 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
    • F31 - International Economics - - International Finance - - - Foreign Exchange

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