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Boys Will Be Boys: Gender, Overconfidence, and Common Stock Investment* the Gallup Organization for Providing Survey Data. We Appreciate the Comments of Diane
Shelley Taylor, Jonathon Brown (1988)
Illusion and well-being: a social psychological perspective on mental health.Psychological bulletin, 103 2
J.E. Russo, P.J.H. Schoemaker
Managing overconfidence
A. Hackethal, M. Haliassos, T. Jappelli (2009)
Financial Advisors: A Case of Babysitters?European Finance
M. Lundeberg, P. Fox, Judith Punćcohaŕ (1994)
Highly Confident, but Wrong: Gender Differences and Similarities in Confidence Judgments.Journal of Educational Psychology, 86
Markku Kaustia, Heidi Laukkanen, V. Puttonen (2009)
Should Good Stocks Have High Prices or High Returns?Financial Analysts Journal, 65
Shi-Woei Lin, V. Bier (2008)
A study of expert overconfidenceReliab. Eng. Syst. Saf., 93
Phillip Braun, Ilan Yaniv (1992)
A case study of expert judgment: Economists' probabilities versus base-rate model forecastsJournal of Behavioral Decision Making, 5
M. Kaustia, H. Laukkanen, V. Puttonen
Should good stocks have high prices or high returns? Evidence of financial advisors’ labile expectations
Ulrike Malmendier, Geoffrey Tate (2003)
Who Makes Acquisitions? CEO Overconfidence and the Market's ReactionStanford Law School
A. Koriat, S. Lichtenstein, Baruch Fischhoff (1980)
Reasons for confidence.Journal of Experimental Psychology: Human Learning & Memory, 6
Molly Mercer, Alan Palmiter, A. Taha (2010)
Worthless Warnings? Testing the Effectiveness of Disclaimers in Mutual Fund AdvertisementsERN: Search
M. Henrion, B. Fischhoff
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Gustaf Torngren, H. Montgomery (2004)
Worse Than Chance? Performance and Confidence Among Professionals and Laypeople in the Stock MarketJournal of Behavioral Finance, 5
Kathryn Kadous, Susan Krische, Lisa Sedor (2005)
Using Counter-Explanation to Limit Analysts' Forecast OptimismFinancial Accounting
S. Plous (1994)
The psychology of judgment and decision making
Michael Haigh, J. List (2005)
Do professional traders exhibit myopic loss aversion? An experimental analysisArtefactual Field Experiments
I. Ben‐David, J.R. Graham, C.R. Harvey
Managerial miscalibration
D. Hirshleifer
Psychological bias as a driver of financial regulation
Markku Kaustia, E. Alho, V. Puttonen (2008)
How Much Does Expertise Reduce Behavioral Biases? The Case of Anchoring Effects in Stock Return EstimatesFinancial Management, 37
J. List (2003)
Does market experience eliminate market anomaliesNatural Field Experiments
B.M. Barber, T. Odean
Boys will be boys: gender, overconfidence, and common stock investment
L. Sanna, N. Schwarz
Integrating temporal biases: the interplay of focal thoughts and accessibility experiences
Colin Camerer, R. Hogarth (1999)
The Effects of Financial Incentives in Experiments: A Review and Capital-Labor-Production FrameworkJournal of Risk and Uncertainty, 19
S. Oskamp (1965)
OVERCONFIDENCE IN CASE-STUDY JUDGMENTS.Journal of consulting psychology, 29
M. Henrion, Baruch Fischhoff (2002)
Heuristics and Biases: Assessing Uncertainty in Physical Constants
S. Lichtenstein, B. Fischhoff
Do those who know more also know more about how much they know? The calibration of probability judgments
Jack Soll, J. Klayman (2004)
Overconfidence in interval estimates.Journal of experimental psychology. Learning, memory, and cognition, 30 2
H. Shefrin (2001)
Do Investors Expect Higher Returns From Safer Stocks Than From Riskier Stocks?Journal of Psychology and Financial Markets, 2
D. Moore, P. Healy (2008)
The trouble with overconfidence.Psychological review, 115 2
S. Lichtenstein, Baruch Fischhoff (1977)
Do those who know more also know more about how much they know?*1Organizational Behavior and Human Performance
D. Önkal, J.Frank Yates, Can Simga‐Mugan, Şule Öztin (2003)
Professional vs Amateur Judgment Accuracy: The Case of Foreign Exchange RatesOrganizational Behavior and Human Decision Processes, 91
L. Sanna, N. Schwarz (2004)
Integrating Temporal BiasesPsychological Science, 15
D. Gilad, D. Kliger (2008)
Priming the Risk Attitudes of Professionals in Financial Decision MakingReview of Finance, 12
S. Lichtenstein, Baruch Fischhoff, L. Phillips (1982)
Calibration of probabilities: the state of the art to 1980
J. Frank (1935)
Some psychological determinants of the level of aspiration.American Journal of Psychology, 47
C. Mckenzie, Michael Liersch, Ilan Yaniv (2008)
Overconfidence in interval estimates: What does expertise buy you?Organizational Behavior and Human Decision Processes, 107
K. Dowd, J. Cotter, C. Humphrey, Margaret Woods (2008)
How Unlucky Is 25-Sigma?, 34
B. Fischhoff
Debiasing
Purpose – The purpose of this paper is to measure overconfidence amongst finance professionals in domain relevant knowledge, and test for the impact of different debiasing methods. Design/methodology/approach – The approach used was survey field experiments with varying debiasing attempts. Findings – The subjects were overconfident in terms of probability calibration, better‐than‐average beliefs, and unfounded confidence. Debiasing attempts yielded mixed results. Explicit written warnings reduced better‐than‐average‐type of overconfidence. There was a further strong effect from attending lectures on investor psychology covering relevant examples. In contrast, there was only limited success in reducing miscalibration in probability assessments. Research limitations/implications – Different types of overconfidence are distinct and respond differentially to debiasing. Future research on debiasing professional judgment should concentrate on testing in‐depth/personally engaging methods. Practical implications – It is important for bankers to acknowledge the dangers of overconfidence. Correct confidence interval calibration is needed in order to have a sense of the risks involved in different asset allocation policies and trading strategies. Bankers should also be able to help their clients avoid overconfidence. Social implications – Debiasing overconfidence in the finance industry likely carries public benefits. The results imply that this task is not easy, but not impossible either. The authors think further investment in this endeavor is justified. Originality/value – Documenting an important judgment bias among finance professionals and estimating the effects of debiasing.
Review of Behavioral Finance – Emerald Publishing
Published: Jul 6, 2012
Keywords: Overconfidence; Debiasing; Bankers; Financial advisors; Banking; Finance
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