Forecaster overconfidence and market survey performance
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- Richard Deaves & Jin Lei & Michael Schröder, 2019. "Forecaster Overconfidence and Market Survey Performance," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 20(2), pages 173-194, April.
- Deaves, Richard & Lei, Jin & Schroeder, Michael, 2015. "Forecaster overconfidence and market survey performance," FinMaP-Working Papers 40, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
- Deaves, Richard & Lei, Jin & Schröder, Michael, 2015. "Forecaster overconfidence and market survey performance," Frankfurt School - Working Paper Series 218, Frankfurt School of Finance and Management.
References listed on IDEAS
- Ivo Welch & Amit Goyal, 2008.
"A Comprehensive Look at The Empirical Performance of Equity Premium Prediction,"
The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1455-1508, July.
- Amit Goyal & Ivo Welch, 2004. "A Comprehensive Look at the Empirical Performance of Equity Premium Prediction," Yale School of Management Working Papers amz2412, Yale School of Management, revised 01 Jan 2006.
- Amit Goyal & Ivo Welch & Athanasse Zafirov, 2021. "A Comprehensive Look at the Empirical Performance of Equity Premium Prediction II," Swiss Finance Institute Research Paper Series 21-85, Swiss Finance Institute.
- Amit Goval & Ivo Welch, 2004. "A Comprehensive Look at the Empirical Performance of Equity Premium Prediction," NBER Working Papers 10483, National Bureau of Economic Research, Inc.
- William N. Goetzmann & Alok Kumar, 2008.
"Equity Portfolio Diversification,"
Review of Finance, European Finance Association, vol. 12(3), pages 433-463.
- Alok Kumar & William N. Goetzmann, 2001. "Equity Portfolio Diversification," Yale School of Management Working Papers ysm236, Yale School of Management.
- William N. Goetzmann & Alok Kumar, 2004. "Equity Portfolio Diversification," Yale School of Management Working Papers ysm17, Yale School of Management.
- William N. Goetzmann & Alok Kumar, 2001. "Equity Portfolio Diversification," NBER Working Papers 8686, National Bureau of Economic Research, Inc.
- Deaves, Richard & Lüders, Erik & Schröder, Michael, 2010.
"The dynamics of overconfidence: Evidence from stock market forecasters,"
Journal of Economic Behavior & Organization, Elsevier, vol. 75(3), pages 402-412, September.
- Deaves, Richard & Lüders, Erik & Schröder, Michael, 2005. "The dynamics of overconfidence: Evidence from stock market forecasters," CoFE Discussion Papers 05/10, University of Konstanz, Center of Finance and Econometrics (CoFE).
- Richard Deaves & Erik Lüders & Michael Schröder, 2010. "The Dynamics of Overconfidence: Evidence from Stock Market Forecasters," Post-Print hal-00849407, HAL.
- Deaves, Richard & Lüders, Erik & Schröder, Michael, 2005. "The Dynamics of Overconfidence: Evidence from Stock Market Forecasters," ZEW Discussion Papers 05-83, ZEW - Leibniz Centre for European Economic Research.
- Jerker Denrell & Christina Fang, 2010. "Predicting the Next Big Thing: Success as a Signal of Poor Judgment," Management Science, INFORMS, vol. 56(10), pages 1653-1667, October.
- Ferreira, Miguel A. & Santa-Clara, Pedro, 2011.
"Forecasting stock market returns: The sum of the parts is more than the whole,"
Journal of Financial Economics, Elsevier, vol. 100(3), pages 514-537, June.
- Miguel A. Ferreira & Pedro Santa-Clara, 2008. "Forecasting Stock Market Returns: The Sum of the Parts is More than the Whole," NBER Working Papers 14571, National Bureau of Economic Research, Inc.
- repec:bla:jfinan:v:53:y:1998:i:6:p:1839-1885 is not listed on IDEAS
- Clark, Todd E. & West, Kenneth D., 2007.
"Approximately normal tests for equal predictive accuracy in nested models,"
Journal of Econometrics, Elsevier, vol. 138(1), pages 291-311, May.
- Todd E. Clark & Kenneth D. West, 2005. "Approximately normal tests for equal predictive accuracy in nested models," Research Working Paper RWP 05-05, Federal Reserve Bank of Kansas City.
- Kenneth D. West & Todd Clark, 2006. "Approximately Normal Tests for Equal Predictive Accuracy in Nested Models," NBER Technical Working Papers 0326, National Bureau of Economic Research, Inc.
- Christopher J. Neely & David E. Rapach & Jun Tu & Guofu Zhou, 2014.
"Forecasting the Equity Risk Premium: The Role of Technical Indicators,"
Management Science, INFORMS, vol. 60(7), pages 1772-1791, July.
- Christopher J. Neely & David E. Rapach & Jun Tu & Guofu Zhou, 2010. "Out-of-sample equity premium prediction: economic fundamentals vs. moving-average rules," Working Papers 2010-008, Federal Reserve Bank of St. Louis.
- Christopher J. Neely & David E. Rapach & Jun Tu & Guofu Zhou, 2011. "Forecasting the Equity Risk Premium: The Role of Technical Indicators," Working Papers CoFie-02-2011, Singapore Management University, Sim Kee Boon Institute for Financial Economics.
- Malmendier, Ulrike & Tate, Geoffrey, 2008.
"Who makes acquisitions? CEO overconfidence and the market's reaction,"
Journal of Financial Economics, Elsevier, vol. 89(1), pages 20-43, July.
- Malmendier, Ulrike M. & Tate, Geoffrey, 2003. "Who Makes Acquisitions? CEO Overconfidence and the Market's Reaction," Research Papers 1798, Stanford University, Graduate School of Business.
- Ulrike Malmendier & Geoffrey Tate, 2004. "Who Makes Acquisitions? CEO Overconfidence and the Market's Reaction," NBER Working Papers 10813, National Bureau of Economic Research, Inc.
- Marco Aiolfi & Carlo Ambrogio Favero, "undated".
"Model Uncertainty, Thick Modelling and the predictability of Stock Returns,"
Working Papers
221, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
- Favero, Carlo A. & Aiolfi, Marco, 2003. "Model Uncertainty, Thick Modelling and the Predictability of Stock Returns," CEPR Discussion Papers 3997, C.E.P.R. Discussion Papers.
- David Hirshleifer & Siew Hong Teoh, 2003.
"Herd Behaviour and Cascading in Capital Markets: a Review and Synthesis,"
European Financial Management, European Financial Management Association, vol. 9(1), pages 25-66, March.
- Hirshleifer, David & Teoh, Siew Hong, 2001. "Herd Behavior and Cascading in Capital Markets: A Review and Synthesis," MPRA Paper 5186, University Library of Munich, Germany.
- John Y. Campbell & Samuel B. Thompson, 2008.
"Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average?,"
The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1509-1531, July.
- Campbell, John & Thompson, Samuel P., 2008. "Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average?," Scholarly Articles 2622619, Harvard University Department of Economics.
- David E. Rapach & Jack K. Strauss & Guofu Zhou, 2010. "Out-of-Sample Equity Premium Prediction: Combination Forecasts and Links to the Real Economy," The Review of Financial Studies, Society for Financial Studies, vol. 23(2), pages 821-862, February.
- Dan Lovallo & Colin Camerer, 1999. "Overconfidence and Excess Entry: An Experimental Approach," American Economic Review, American Economic Association, vol. 89(1), pages 306-318, March.
- Dick, Christian D. & Menkhoff, Lukas, 2013.
"Exchange rate expectations of chartists and fundamentalists,"
Journal of Economic Dynamics and Control, Elsevier, vol. 37(7), pages 1362-1383.
- Dick, Christian D. & Menkhoff, Lukas, 2012. "Exchange rate expectations of chartists and fundamentalists," ZEW Discussion Papers 12-026, ZEW - Leibniz Centre for European Economic Research.
- Christian D. Dick & Lukas Menkhoff, 2013. "Exchange Rate Expectations of Chartists and Fundamentalists," CESifo Working Paper Series 4181, CESifo.
- Brad M. Barber & Terrance Odean, 2000. "Trading Is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors," Journal of Finance, American Finance Association, vol. 55(2), pages 773-806, April.
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Cited by:
- Mariana Sedliačiková & Patrik Aláč & Mária Moresová, 2020. "How Behavioral Aspects Influence the Sustainable Financial Decisions of Shareholders: An Empirical Study and Proposal for a Relevant Decision-Making Concept," Sustainability, MDPI, vol. 12(12), pages 1-18, June.
- Brückbauer Frank & Schröder Michael, 2023. "The ZEW Financial Market Survey Panel," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 243(3-4), pages 451-469, June.
- Brückbauer, Frank, 2022. "Do financial market experts know their theory? New evidence from survey data," ZEW Discussion Papers 20-092, ZEW - Leibniz Centre for European Economic Research, revised 2022.
- Brückbauer, Frank & Schröder, Michael, 2021. "Data resource profile: The ZEW FMS dataset," ZEW Discussion Papers 21-100, ZEW - Leibniz Centre for European Economic Research.
- Christoph Buehren & Tim Meyer & Christian Pierdzioch, 2020. "Experimental Evidence on Forecaster (anti-) Herding in Sports Markets," MAGKS Papers on Economics 202038, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
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More about this item
Keywords
Overconfidence; Forecasting Performance; Stock Market;All these keywords.
JEL classification:
- G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles
- G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CBE-2015-05-09 (Cognitive and Behavioural Economics)
- NEP-FOR-2015-05-09 (Forecasting)
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