Forecaster overconfidence and market survey performance
Author
Suggested Citation
Download full text from publisher
Other versions of this item:
- 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.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
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).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Yi, Yongsheng & Ma, Feng & Zhang, Yaojie & Huang, Dengshi, 2019. "Forecasting stock returns with cycle-decomposed predictors," International Review of Financial Analysis, Elsevier, vol. 64(C), pages 250-261.
- Wen, Danyan & Liu, Li & Wang, Yudong & Zhang, Yaojie, 2022. "Forecasting crude oil market returns: Enhanced moving average technical indicators," Resources Policy, Elsevier, vol. 76(C).
- José Afonso Faias & Juan Arismendi Zambrano, 2022. "Equity Risk Premium Predictability from Cross-Sectoral Downturns [International asset allocation with regime shifts]," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 12(3), pages 808-842.
- Yaojie Zhang & Feng Ma & Chao Liang & Yi Zhang, 2021. "Good variance, bad variance, and stock return predictability," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4410-4423, July.
- João F. Caldeira & Rangan Gupta & Hudson S. Torrent, 2020.
"Forecasting U.S. Aggregate Stock Market Excess Return: Do Functional Data Analysis Add Economic Value?,"
Mathematics, MDPI, vol. 8(11), pages 1-16, November.
- Joao F. Caldeira & Rangan Gupta & Hudson S. Torrent, 2020. "Forecasting U.S. Aggregate Stock Market Excess Return: Do Functional Data Analysis Add Economic Value?," Working Papers 202087, University of Pretoria, Department of Economics.
- Joscha Beckmann & Rainer Schüssler, 2014. "Forecasting Equity Premia using Bayesian Dynamic Model Averaging," CQE Working Papers 2914, Center for Quantitative Economics (CQE), University of Muenster.
- Ma, Feng & Wang, Ruoxin & Lu, Xinjie & Wahab, M.I.M., 2021. "A comprehensive look at stock return predictability by oil prices using economic constraint approaches," International Review of Financial Analysis, Elsevier, vol. 78(C).
- Dai, Zhifeng & Zhu, Huan, 2020. "Stock return predictability from a mixed model perspective," Pacific-Basin Finance Journal, Elsevier, vol. 60(C).
- Dai, Zhifeng & Zhu, Huan, 2021. "Indicator selection and stock return predictability," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
- Dai, Zhifeng & Dong, Xiaodi & Kang, Jie & Hong, Lianying, 2020. "Forecasting stock market returns: New technical indicators and two-step economic constraint method," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
- Dai, Zhifeng & Zhu, Huan & Kang, Jie, 2021. "New technical indicators and stock returns predictability," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 127-142.
- Gebka, Bartosz & Wohar, Mark E., 2019. "Stock return distribution and predictability: Evidence from over a century of daily data on the DJIA index," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 1-25.
- Dai, Zhifeng & Kang, Jie & Wen, Fenghua, 2021. "Predicting stock returns: A risk measurement perspective," International Review of Financial Analysis, Elsevier, vol. 74(C).
- Thomadakis, Apostolos, 2016. "Do Combination Forecasts Outperform the Historical Average? Economic and Statistical Evidence," MPRA Paper 71589, University Library of Munich, Germany.
- Wang, Yudong & Liu, Li & Ma, Feng & Diao, Xundi, 2018. "Momentum of return predictability," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 141-156.
- Gonçalo Faria & Fabio Verona, 2021.
"Time-frequency forecast of the equity premium,"
Quantitative Finance, Taylor & Francis Journals, vol. 21(12), pages 2119-2135, December.
- Faria, Gonçalo & Verona, Fabio, 2020. "Time-frequency forecast of the equity premium," Research Discussion Papers 6/2020, Bank of Finland.
- Tsiakas, Ilias & Li, Jiahan & Zhang, Haibin, 2020.
"Equity premium prediction and the state of the economy,"
Journal of Empirical Finance, Elsevier, vol. 58(C), pages 75-95.
- Ilias Tsiakas & Jiahan Li & Haibin Zhang, 2020. "Equity Premium Prediction and the State of the Economy," Working Paper series 20-16, Rimini Centre for Economic Analysis.
- Rapach, David E. & Ringgenberg, Matthew C. & Zhou, Guofu, 2016. "Short interest and aggregate stock returns," Journal of Financial Economics, Elsevier, vol. 121(1), pages 46-65.
- Giovannelli, Alessandro & Massacci, Daniele & Soccorsi, Stefano, 2021.
"Forecasting stock returns with large dimensional factor models,"
Journal of Empirical Finance, Elsevier, vol. 63(C), pages 252-269.
- Alessandro Giovannelli & Daniele Massacci & Stefano Soccorsi, 2020. "Forecasting Stock Returns with Large Dimensional Factor Models," Working Papers 305661169, Lancaster University Management School, Economics Department.
- Mengxi He & Xianfeng Hao & Yaojie Zhang & Fanyi Meng, 2021. "Forecasting stock return volatility using a robust regression model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(8), pages 1463-1478, December.
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)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:zewdip:15029. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/zemande.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.