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Are Bayesian Fan Charts Useful for Central Banks? Uncertainty, Forecasting, and Financial Stability Stress Tests

  • Michal Franta
  • Jozef Barunik
  • Roman Horvath
  • Katerina Smidkova

This paper shows how fan charts generated from Bayesian vector autoregression (BVAR) models can be useful for assessing 1) the forecasting accuracy of central banks’ prediction models and 2) the credibility of stress tests carried out to evaluate financial stability. Using unique data from the Czech National Bank (CNB), we compare our BVAR fan charts for inflation, GDP growth, interest rate and the exchange rate to those of the CNB, which are based on past forecasting errors. Our results suggest that in terms of the Kullback-Leibler Information Criterion, BVAR fan charts typically do not outperform those of the CNB, providing a useful cross-check of their accuracy. However, we show how BVAR fan charts can rigorously deal with the non-negativity constraint on the nominal interest rate and usefully complement the official fan charts. Finally, we put forward how BVAR fan charts can be useful for assessing financial stability and propose a simple method for evaluating whether the assumptions of banks’ stress tests about the macroeconomic outlook are sufficiently adverse.

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Paper provided by Czech National Bank, Research Department in its series Working Papers with number 2011/10.

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Date of creation: Nov 2011
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Handle: RePEc:cnb:wpaper:2011/10
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  1. Stephen Murchison & Andrew Rennison, 2006. "ToTEM: The Bank of Canada's New Quarterly Projection Model," Technical Reports 97, Bank of Canada.
  2. Francis X. Diebold & Anthony S. Tay & Kenneth F. Wallis, 1998. "Evaluating Density Forecasts of Inflation: The Survey of Professional Forecasters," Working Papers 98-15, New York University, Leonard N. Stern School of Business, Department of Economics.
  3. Nergiz Dincer & Barry Eichengreen, 2009. "Central Bank Transparency: Causes, Consequences and Updates," NBER Working Papers 14791, National Bureau of Economic Research, Inc.
  4. Lars E. O. Svensson & Robert J. Tetlow, 2005. "Optimal policy projections," Finance and Economics Discussion Series 2005-34, Board of Governors of the Federal Reserve System (U.S.).
  5. Daniel F. Waggoner & Tao Zha, 1999. "Conditional Forecasts In Dynamic Multivariate Models," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 639-651, November.
  6. Jan Babecky & Ales Bulir & Katerina Smidkova, 2011. "Sustainable Real Exchange Rates in the New EU Member States: What Did the Great Recession Change?," Working Papers 2011/01, Czech National Bank, Research Department.
  7. Svensson, Lars E O & Williams, Noah, 2007. "Monetary Policy with Model Uncertainty: Distribution Forecast Targeting," CEPR Discussion Papers 6331, C.E.P.R. Discussion Papers.
  8. Giannone, Domenico & Lenza, Michele & Primiceri, Giorgio E, 2012. "Prior Selection for Vector Autoregressions," CEPR Discussion Papers 8755, C.E.P.R. Discussion Papers.
  9. Prakash Kannan & Selim Elekdag, 2009. "Incorporating Market Information into the Construction of the Fan Chart," IMF Working Papers 09/178, International Monetary Fund.
  10. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2012. "Combining predictive densities using Bayesian filtering with applications to US economic data," Working Papers 2012_16, Department of Economics, University of Venice "Ca' Foscari".
  11. Christian Kascha & Francesco Ravazzolo, 2008. "Combining inflation density forecasts," Working Paper 2008/22, Norges Bank.
  12. Thomas Doan & Robert B. Litterman & Christopher A. Sims, 1983. "Forecasting and Conditional Projection Using Realistic Prior Distributions," NBER Working Papers 1202, National Bureau of Economic Research, Inc.
  13. John C. Robertson & Ellis W. Tallman & Charles H. Whiteman, 2002. "Forecasting using relative entropy," FRB Atlanta Working Paper 2002-22, Federal Reserve Bank of Atlanta.
  14. Gill Hammond, 2012. "State of the art of inflation targeting," Handbooks, Centre for Central Banking Studies, Bank of England, edition 4, number 29, March.
  15. Maximiano Pinheiro & Paulo Esteves, 2012. "On the uncertainty and risks of macroeconomic forecasts: combining judgements with sample and model information," Empirical Economics, Springer, vol. 42(3), pages 639-665, June.
  16. Franta, Michal & Saxa, Branislav & Šmídková, Katerina, 2007. "Inflation persistence: euro area and new EU Member States," Working Paper Series 0810, European Central Bank.
  17. Juraj Antal & Zuzana Antonicova & Jan Babecky & Michal Hlavacek & Tomas Holub & Roman Horvath & Jarek Hurnik & Ondra Kamenik & Karel Musil & Jiri Podpiera & Lubos Ruzicka & Michal Skorepa & Katerina S, 2008. "Evaluation of the Fulfilment of the CNB's Inflation Targets 1998-2007," Occasional Publications - Edited Volumes, Czech National Bank, Research Department, number 01 edited by Katerina Smidkova.
  18. Geweke, John, 2001. "Bayesian econometrics and forecasting," Journal of Econometrics, Elsevier, vol. 100(1), pages 11-15, January.
  19. Cogley, Timothy W. & Morozov, Sergei & Sargent, Thomas J., 2003. "Bayesian fan charts for UK inflation: Forecasting and sources of uncertainty in an evolving monetary system," CFS Working Paper Series 2003/44, Center for Financial Studies (CFS).
  20. Katerina Smidkova, 2008. "Evaluation of the Fulfilment of the CNB's Inflation Targets," Occasional Publications - Chapters in Edited Volumes, in: Katerina Smidkova (ed.), Evaluation of the Fulfilment of the CNB's Inflation Targets 1998-2007, chapter 1, pages 10-17 Czech National Bank, Research Department.
  21. Rodrigo Alfaro & Mathias Drehmann, 2009. "Macro stress tests and crises: what can we learn?," BIS Quarterly Review, Bank for International Settlements, December.
  22. Thomas Breuer & Martin Jandacka & Klaus Rheinberger & Martin Summer, 2009. "How to Find Plausible, Severe and Useful Stress Scenarios," International Journal of Central Banking, International Journal of Central Banking, vol. 5(3), pages 205-224, September.
  23. Hall, Stephen G. & Mitchell, James, 2007. "Combining density forecasts," International Journal of Forecasting, Elsevier, vol. 23(1), pages 1-13.
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