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Citations for "Forecasting recessions: the puzzle of the enduring power of the yield curve"

by Glenn D. Rudebusch & John C. Williams

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  1. Nyberg, Henri, 2010. "QR-GARCH-M Model for Risk-Return Tradeoff in U.S. Stock Returns and Business Cycles," MPRA Paper 23724, University Library of Munich, Germany.
  2. Jens H.E. Christensen & Jose A. Lopez & Glenn D. Rudebusch, 2012. "Extracting Deflation Probability Forecasts from Treasury Yields," International Journal of Central Banking, International Journal of Central Banking, vol. 8(4), pages 21-60, December.
  3. John C. Williams, 2009. "Heeding Daedalus: Optimal inflation and the zero lower bound," Working Paper Series 2009-23, Federal Reserve Bank of San Francisco.
  4. Bessec, Marie, 2015. "Revisiting the transitional dynamics of business-cycle phases with mixed frequency data," Economics Papers from University Paris Dauphine 123456789/15246, Paris Dauphine University.
  5. Ana Beatriz Galv�o, 2007. "Changes in Predictive Ability with Mixed Frequency Data," Working Papers 595, Queen Mary University of London, School of Economics and Finance.
  6. Lorenzo Boldrini & Eric Hillebrand, 2015. "The Forecasting Power of the Yield Curve, a Supervised Factor Model Approach," CREATES Research Papers 2015-39, School of Economics and Management, University of Aarhus.
  7. Lahiri, Kajal & Wang, J. George, 2013. "Evaluating probability forecasts for GDP declines using alternative methodologies," International Journal of Forecasting, Elsevier, vol. 29(1), pages 175-190.
  8. Márcio Laurini & João Frois Caldeira, 2012. "Some Comments on a Macro-Finance Model with Stochastic Volatility," IBMEC RJ Economics Discussion Papers 2012-04, Economics Research Group, IBMEC Business School - Rio de Janeiro.
  9. Croushore, Dean & Marsten, Katherine, 2014. "The continuing power of the yield spread in forecasting recessions," Working Papers 14-5, Federal Reserve Bank of Philadelphia.
  10. Albuquerque, Bruno & Baumann, Ursel & Seitz, Franz, 2015. "The information content of money and credit for US activity," Working Paper Series 1803, European Central Bank.
  11. Fernandez-Perez, Adrian & Fernández-Rodríguez, Fernando & Sosvilla-Rivero, Simón, 2014. "The term structure of interest rates as predictor of stock returns: Evidence for the IBEX 35 during a bear market," International Review of Economics & Finance, Elsevier, vol. 31(C), pages 21-33.
  12. Periklis Gogas & Theophilos Papadimitriou & Maria Matthaiou & Efthymia Chrysanthidou, 2015. "Yield Curve and Recession Forecasting in a Machine Learning Framework," Computational Economics, Society for Computational Economics, vol. 45(4), pages 635-645, April.
  13. Travis J. Berge & Òscar Jordà, 2011. "Evaluating the Classification of Economic Activity into Recessions and Expansions," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(2), pages 246-77, April.
  14. Aguiar-Conraria, Luís & Martins, Manuel M.F. & Soares, Maria Joana, 2012. "The yield curve and the macro-economy across time and frequencies," Journal of Economic Dynamics and Control, Elsevier, vol. 36(12), pages 1950-1970.
  15. Laurent Ferrara & Clément Marsilli, 2013. "Financial variables as leading indicators of GDP growth: Evidence from a MIDAS approach during the Great Recession," Applied Economics Letters, Taylor & Francis Journals, vol. 20(3), pages 233-237, February.
  16. Yunus Aksoy & Henrique S. Basso, 2014. "Liquidity, Term Spreads and Monetary Policy," Economic Journal, Royal Economic Society, vol. 124(581), pages 1234-1278, December.
  17. Travis Berge, 2013. "Predicting recessions with leading indicators: model averaging and selection over the business cycle," Research Working Paper RWP 13-05, Federal Reserve Bank of Kansas City.
  18. Pierre Guérin & Massimiliano Marcellino, 2013. "Markov-Switching MIDAS Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(1), pages 45-56, January.
  19. John Galbraith & Simon van Norden, 2008. "The Calibration of Probabilistic Economic Forecasts," CIRANO Working Papers 2008s-28, CIRANO.
  20. N. Kundan Kishor & Evan F. Koenig, 2010. "Yield spreads as predictors of economic activity: a real-time VAR analysis," Working Papers 1008, Federal Reserve Bank of Dallas.
  21. Bellégo, C. & Ferrara, L., 2009. "Forecasting Euro-area recessions using time-varying binary response models for financial," Working papers 259, Banque de France.
  22. John Galbraith & Simon van Norden, 2009. "Calibration and Resolution Diagnostics for Bank of England Density Forecasts," CIRANO Working Papers 2009s-36, CIRANO.
  23. Leo Krippner & Leif Anders Thorsrud, 2009. "Forecasting New Zealand's economic growth using yield curve information," Reserve Bank of New Zealand Discussion Paper Series DP2009/18, Reserve Bank of New Zealand.
  24. Curry, Timothy J. & Fissel, Gary S. & Hanweck, Gerald A., 2008. "Is there cyclical bias in bank holding company risk ratings?," Journal of Banking & Finance, Elsevier, vol. 32(7), pages 1297-1309, July.
  25. Mario Meichle & Angelo Ranaldo & Attilio Zanetti, 2011. "Do financial variables help predict the state of the business cycle in small open economies? Evidence from Switzerland," Financial Markets and Portfolio Management, Springer, vol. 25(4), pages 435-453, December.
  26. Afonso, António & Martins, Manuel M.F., 2010. "Level, slope, curvature of the sovereign yield curve, and fiscal behaviour," Working Paper Series 1276, European Central Bank.
  27. Nicholas Taylor, 2014. "Economic forecast quality: information timeliness and data vintage effects," Empirical Economics, Springer, vol. 46(1), pages 145-174, February.
  28. Candelon, Bertrand & Metiu, Norbert & Straetmans, Stefan, 2013. "Disentangling economic recessions and depressions," Discussion Papers 43/2013, Deutsche Bundesbank, Research Centre.
  29. Österholm, Pär, 2012. "The limited usefulness of macroeconomic Bayesian VARs when estimating the probability of a US recession," Journal of Macroeconomics, Elsevier, vol. 34(1), pages 76-86.
  30. Makram El-Shagi & Gregor von Schweinitz, 2012. "Qual VAR Revisited: Good Forecast, Bad Story," IWH Discussion Papers 12, Halle Institute for Economic Research.
  31. Proaño, Christian R. & Theobald, Thomas, 2014. "Predicting recessions with a composite real-time dynamic probit model," International Journal of Forecasting, Elsevier, vol. 30(4), pages 898-917.
  32. Jardet, C. & Monfort, A. & Pegoraro, F., 2009. "No-arbitrage Near-Cointegrated VAR(p) Term Structure Models, Term Premia and GDP Growth," Working papers 234, Banque de France.
  33. António Afonso & Manuel M. F. Martins, 2010. "Level, Slope, Curvature of Sovereign Yield Curve and Fiscal Behaviour," Working Papers Department of Economics 2010/23, ISEG - School of Economics and Management, Department of Economics, University of Lisbon.
  34. Bellégo, C. & Ferrara, L., 2012. "Macro-financial linkages and business cycles: A factor-augmented probit approach," Economic Modelling, Elsevier, vol. 29(5), pages 1793-1797.
  35. Kajal Lahiri & George Monokroussos & Yongchen Zhao, 2012. "The Yield Spread Puzzle and the Information Content of SPF Forecasts," CESifo Working Paper Series 3949, CESifo Group Munich.
  36. Kajal Lahiri & Liu Yang, 2012. "Forecasting Binary Outcomes," Discussion Papers 12-09, University at Albany, SUNY, Department of Economics.
  37. Akhter Faroque & William Veloce & Jean-Francois Lamarche, 2008. "The impact of structural breaks on the stability of the out-of-sample predictive content of financial variables for Canada's real GDP growth: An encompassing approach," Working Papers 0803, Brock University, Department of Economics.
  38. Ray C. Fair, 2009. "Analyzing Macroeconomic Forecastability," Cowles Foundation Discussion Papers 1706, Cowles Foundation for Research in Economics, Yale University, revised Aug 2010.
  39. Galbraith, John W. & van Norden, Simon, 2011. "Kernel-based calibration diagnostics for recession and inflation probability forecasts," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1041-1057, October.
  40. Christensen, T.M. & Hurn, A.S. & Lindsay, K.A., 2012. "Forecasting spikes in electricity prices," International Journal of Forecasting, Elsevier, vol. 28(2), pages 400-411.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.