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Citations for "The Strategy of Professional Forecasting"

by Marco Ottaviani & Peter Norman Sørensen

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  1. Nolan Miller & Paul Resnick & Richard Zeckhauser, 2005. "Eliciting Informative Feedback: The Peer-Prediction Method," Management Science, INFORMS, vol. 51(9), pages 1359-1373, September.
  2. Hautsch, Nikolaus & Hess, Dieter E. & Müller, Christoph, 2008. "Price adjustment to news with uncertain precision," CFR Working Papers 08-04, University of Cologne, Centre for Financial Research (CFR).
  3. Meub, Lukas & Proeger, Till & Bizer, Kilian & Spiwoks, Markus, 2015. "Strategic coordination in forecasting – An experimental study," Finance Research Letters, Elsevier, vol. 13(C), pages 155-162.
  4. Batchelor, Roy, 2007. "Bias in macroeconomic forecasts," International Journal of Forecasting, Elsevier, vol. 23(2), pages 189-203.
  5. Clements, Michael P., 2008. "Explanations of the inconsistencies in survey respondents'forecasts," The Warwick Economics Research Paper Series (TWERPS) 870, University of Warwick, Department of Economics.
  6. Veronica Guerrieri & Peter Kondor, 2010. "Fund managers, career concerns, and asset price volatility," Staff Report 446, Federal Reserve Bank of Minneapolis.
  7. Michael P. Clements, 2014. "US Inflation Expectations and Heterogeneous Loss Functions, 1968–2010," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(1), pages 1-14, 01.
  8. García, Juan Angel & Manzanares, Andrés, 2007. "Reporting biases and survey results: evidence from European professional forecasters," Working Paper Series 0836, European Central Bank.
  9. Carlos Capistrán & Allan Timmermann, 2006. "Disagreement and Biases in Inflation Expectations," Working Papers 2006-07, Banco de México.
  10. Deschamps, Bruno & Ioannidis, Christos, 2013. "Can rational stubbornness explain forecast biases?," Journal of Economic Behavior & Organization, Elsevier, vol. 92(C), pages 141-151.
  11. Yann Braouezec, 2010. "Committee, Expert Advice, and the Weighted Majority Algorithm: An Application to the Pricing Decision of a Monopolist," Computational Economics, Springer;Society for Computational Economics, vol. 35(3), pages 245-267, March.
  12. Gehrig, Thomas & Lütje, Torben & Menkhoff, Lukas, 2009. "Bonus Payments and Fund Managers’ Behaviour: Trans-Atlantic Evidence," CEPR Discussion Papers 7118, C.E.P.R. Discussion Papers.
  13. Tillmann, Peter, 2011. "Strategic forecasting on the FOMC," European Journal of Political Economy, Elsevier, vol. 27(3), pages 547-553, September.
  14. Hirshleifer, David & Teoh, Siew Hong, 2008. "Thought and Behavior Contagion in Capital Markets," MPRA Paper 9142, University Library of Munich, Germany.
  15. Friesen, Geoffrey & Weller, Paul A., 2006. "Quantifying cognitive biases in analyst earnings forecasts," Journal of Financial Markets, Elsevier, vol. 9(4), pages 333-365, November.
  16. Sinkey, Michael, 2015. "How do experts update beliefs? Lessons from a non-market environment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 57(C), pages 55-63.
  17. Ulrich Fritsche & Christian Pierdzioch & Jan-Christoph Ruelke & Georg Stadtmann, 2012. "Forecasting the Brazilian Real and the Mexican Peso: Asymmetric Loss, Forecast Rationality, and Forecaster Herding," Macroeconomics and Finance Series 201202, Hamburg University, Department Wirtschaft und Politik.
  18. 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.
  19. Bizer, Kilian & Meub, Lukas & Proeger, Till & Spiwoks, Markus, 2014. "Strategic coordination in forecasting: An experimental study," Center for European, Governance and Economic Development Research Discussion Papers 195, University of Goettingen, Department of Economics.
  20. Hellwig, Christian & Veldkamp, Laura, 2007. "Knowing What Others Know: Coordination Motives in Information Acquisition," CEPR Discussion Papers 6506, C.E.P.R. Discussion Papers.
  21. Michael Clements, 2016. "Are Macro-Forecasters Essentially The Same? An Analysis of Disagreement, Accuracy and Efficiency," ICMA Centre Discussion Papers in Finance icma-dp2016-08, Henley Business School, Reading University.
  22. F. Pancotto & G. Pignataro & D. Raggi, 2014. "Higher order beliefs and the dynamics of exchange rates," Working Papers wp957, Dipartimento Scienze Economiche, Universita' di Bologna.
  23. Guillermo L. Ordoñez, 2009. "Fragility of reputation and clustering of risk-taking," Staff Report 431, Federal Reserve Bank of Minneapolis.
  24. Cao, H. Henry & Han, Bing & Hirshleifer, David, 2011. "Taking the road less traveled by: Does conversation eradicate pernicious cascades?," Journal of Economic Theory, Elsevier, vol. 146(4), pages 1418-1436, July.
  25. Dick, Christian D. & Schmeling, Maik & Schrimpf, Andreas, 2013. "Macro-expectations, aggregate uncertainty, and expected term premia," European Economic Review, Elsevier, vol. 58(C), pages 58-80.
  26. Taylor, Curtis R. & Yildirim, Huseyin, 2010. "Public information and electoral bias," Games and Economic Behavior, Elsevier, vol. 68(1), pages 353-375, January.
  27. Crowe, Christopher & Meade, Ellen E., 2008. "Central bank independence and transparency: Evolution and effectiveness," European Journal of Political Economy, Elsevier, vol. 24(4), pages 763-777, December.
  28. Wojciech Olszewski & Alvaro Sandroni, 2008. "Manipulability of Future-Independent Tests," Econometrica, Econometric Society, vol. 76(6), pages 1437-1466, November.
  29. Capistrán, Carlos, 2008. "Bias in Federal Reserve inflation forecasts: Is the Federal Reserve irrational or just cautious?," Journal of Monetary Economics, Elsevier, vol. 55(8), pages 1415-1427, November.
  30. Marco Ottaviani & Peter Norman Sorensen, 2002. "Professional Advice: The Theory of Reputational Cheap Talk," Discussion Papers 02-05, University of Copenhagen. Department of Economics.
  31. Ruiz-Verdú, Pablo & Singh, Ravi, 2014. "Board Independence, CEO Pay, and Camouflaged Compensation," DEE - Working Papers. Business Economics. WB wb140704, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
  32. Deimen, Inga & Szalay, Dezso, 2015. "Information, authority, and smooth communication in organizations," CEPR Discussion Papers 10969, C.E.P.R. Discussion Papers.
  33. Rülke, Jan-Christoph & Silgoner, Maria & Wörz, Julia, 2016. "Herding behavior of business cycle forecasters," International Journal of Forecasting, Elsevier, vol. 32(1), pages 23-33.
  34. Christian Ewerhart, 2014. "Mixed equilibrium in a pure location game: the case of n ≥ 4 firms," ECON - Working Papers 168, Department of Economics - University of Zurich.
  35. Elena Panova, 2009. "Confirmatory News," Cahiers de recherche 0912, CIRPEE.
  36. Prati, Alessandro & Sbracia, Massimo, 2010. "Uncertainty and Currency Crises: Evidence from Survey Data," MPRA Paper 21209, University Library of Munich, Germany.
  37. MacDonald, Ronald & Nagayasu, Jun, 2015. "Currency forecast errors and carry trades at times of low interest rates: Evidence from survey data on the yen/dollar exchange rate," Journal of International Money and Finance, Elsevier, vol. 53(C), pages 1-19.
  38. Alexander Guembel & Silvia Rossetto, 2009. "Reputational cheap talk with misunderstanding," Post-Print halshs-00491767, HAL.
  39. Schanne, Norbert, 2012. "The formation of experts' expectations on labour markets : do they run with the pack?," IAB Discussion Paper 201225, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  40. Clements, Michael P, 2006. "Internal consistency of survey respondents.forecasts : Evidence based on the Survey of Professional Forecasters," The Warwick Economics Research Paper Series (TWERPS) 772, University of Warwick, Department of Economics.
  41. Alessandro Acquisti, 2014. "Inducing Customers to Try New Goods," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 44(2), pages 131-146, March.
  42. Papastamos, Dimitrios & Matysiak, George & Stevenson, Simon, 2015. "Assessing the accuracy and dispersion of real estate investment forecasts," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 141-152.
  43. Wagner Piazza Gaglianone & João Victor Issler, 2014. "Microfounded Forecasting," Working Papers Series 372, Central Bank of Brazil, Research Department.
  44. Bullard, James & Evans, George W. & Honkapohja, Seppo, 2010. "A Model Of Near-Rational Exuberance," Macroeconomic Dynamics, Cambridge University Press, vol. 14(02), pages 166-188, April.
  45. Daron Acemoglu & Victor Chernozhukov & Muhamet Yildiz, 2007. "Learning and Disagreement in an Uncertain World," Carlo Alberto Notebooks 48, Collegio Carlo Alberto.
  46. 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.
  47. Luis E. Rojas, . "Professional Forecasters: How to Understand and Exploit Them Through a DSGE Model," Borradores de Economia 664, Banco de la Republica de Colombia.
  48. Bar-Isaac Heski, 2012. "Transparency, Career Concerns, and Incentives for Acquiring Expertise," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 12(1), pages 1-15, January.
  49. Markku Lanne, 2009. "Properties of Market-Based and Survey Macroeconomic Forecasts for Different Data Releases," Economics Bulletin, AccessEcon, vol. 29(3), pages 2231-2240.
  50. Jan Christoph Ruelke & Ralf Fendel & Michael Frenkel, 2011. "Do Professional Forecasters Trust in Taylor-Type Rules? - Evidence from the Wall Street Journal Poll," Post-Print hal-00743770, HAL.
  51. Marinelli, Carlo & Weissensteiner, Alex, 2014. "On the relation between forecast precision and trading profitability of financial analysts," Journal of Financial Markets, Elsevier, vol. 20(C), pages 39-60.
  52. Roy Batchelor, 2007. "Forecaster Behaviour and Bias in Macroeconomic Forecasts," Ifo Working Paper Series Ifo Working Paper No. 39, Ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
  53. Chen, Qiwei & Costantini, Mauro & Deschamps, Bruno, 2016. "How accurate are professional forecasts in Asia? Evidence from ten countries," International Journal of Forecasting, Elsevier, vol. 32(1), pages 154-167.
  54. Francesca Pancotto & Giuseppe Pignataro & Davide Raggi, 2015. "Social Learning and Higher Order Beliefs: A Structural Model of Exchange Rates Dynamics," LEM Papers Series 2015/24, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  55. Deimen, Inga & Szalay, Dezsö, 2014. "Smooth, strategic communication," Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100333, Verein für Socialpolitik / German Economic Association.
  56. Meub, Lukas & Proeger, Till & Bizer, Kilian, 2013. "Anchoring: A valid explanation for biased forecasts when rational predictions are easily accessible and well incentivized?," Center for European, Governance and Economic Development Research Discussion Papers 166, University of Goettingen, Department of Economics.
  57. Ambrus, Attila & Lu, Shih En, 2014. "Almost fully revealing cheap talk with imperfectly informed senders," Games and Economic Behavior, Elsevier, vol. 88(C), pages 174-189.
  58. Doherty, Neil A. & Kartasheva, Anastasia V. & Phillips, Richard D., 2012. "Information effect of entry into credit ratings market: The case of insurers' ratings," Journal of Financial Economics, Elsevier, vol. 106(2), pages 308-330.
  59. Rudiger, Jesper & Vigier, Adrien, 2013. "Financial Experts, Asset Prices and Reputation," MPRA Paper 51784, University Library of Munich, Germany.
  60. Christian Hellwig, 2005. "Knowing What Others Know: Coordination Motives in Information Acquisition (March 2007, with Laura Veldkamp)," UCLA Economics Online Papers 369, UCLA Department of Economics.
  61. Andrew Bauer & Robert A. Eisenbeis & Daniel F. Waggoner & Tao Zha, 2003. "Forecast evaluation with cross-sectional data: The Blue Chip Surveys," Economic Review, Federal Reserve Bank of Atlanta, issue Q2, pages 17-31.
  62. Sean D. Campbell & Steven A. Sharpe, 2007. "Anchoring bias in consensus forecasts and its effect on market prices," Finance and Economics Discussion Series 2007-12, Board of Governors of the Federal Reserve System (U.S.).
  63. Todd E. Clark & Troy A. Davig, 2008. "An empirical assessment of the relationships among inflation and short- and long-term expectations," Research Working Paper RWP 08-05, Federal Reserve Bank of Kansas City.
  64. Lanne, Markku, 2007. "The Properties of Market-Based and Survey Forecasts for Different Data Releases," MPRA Paper 3877, University Library of Munich, Germany.
  65. Mariano, Beatriz, 2012. "Market power and reputational concerns in the ratings industry," Journal of Banking & Finance, Elsevier, vol. 36(6), pages 1616-1626.
  66. Phillip E. Pfeifer, 2016. "The promise of pick-the-winners contests for producing crowd probability forecasts," Theory and Decision, Springer, vol. 81(2), pages 255-278, August.
  67. Yoon, Young-Ro, 2015. "Strategic behavior in acquiring and revealing costly private information," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 133-148.
  68. Patton, Andrew J & Timmermann, Allan G, 2007. "Learning in Real Time: Theory and Empirical Evidence from the Term Structure of Survey Forecasts," CEPR Discussion Papers 6526, C.E.P.R. Discussion Papers.
  69. Jesper Rudiger & Adrien Vigier, 2015. "Pundits and Quacks," Cowles Foundation Discussion Papers 1997, Cowles Foundation for Research in Economics, Yale University.
  70. Mokinski, Frieder, 2016. "Using time-stamped survey responses to measure expectations at a daily frequency," International Journal of Forecasting, Elsevier, vol. 32(2), pages 271-282.
  71. Kohei Kawamura, 2015. "Confidence and competence in communication," Theory and Decision, Springer, vol. 78(2), pages 233-259, February.
  72. Marinovic, Iván & Ottaviani, Marco & Sorensen, Peter, 2013. "Forecasters’ Objectives and Strategies," Handbook of Economic Forecasting, Elsevier.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.