Debiasing investors with decision support systems: An experimental investigation

This research presents evidence that decision support systems can play an important role in debiasing behaviorally-challenged investors. An empirical study involving 119 participants provides strong evidence for the existence of cognitive biases in investment decision making and demonstrates the effectiveness of decision aids in lowering the negative impact of such biases on the ability of investors to make sound investment decisions. Additionally, such decision aids are shown to be more valuable in decision environments where the bias level is likely to be higher.

[1]  C. Bram Cadsby,et al.  Laboratory experiments in corporate and investment finance: a survey , 1998 .

[2]  Peter G. W. Keen,et al.  Decision support systems : an organizational perspective , 1978 .

[3]  Richard H. Thaler,et al.  Chapter 16. Naive Diversification Strategies in Defined Contribution Savings Plans , 2005 .

[4]  R. Thaler,et al.  Does the Stock Market Overreact , 1985 .

[5]  Robyn M. Dawes,et al.  The False Consensus Effect and Overconfidence: Flaws in Judgment or Flaws in How We Study Judgment? , 1996 .

[6]  G. Loewenstein,et al.  Diversification bias: Explaining the discrepancy in variety seeking between combined and separated choices , 1995 .

[7]  W. D. Bondt A portrait of the individual investor , 1998 .

[8]  R. Hogarth,et al.  BEHAVIORAL DECISION THEORY: PROCESSES OF JUDGMENT AND CHOICE , 1981 .

[9]  Josef Perner,et al.  Framing decisions: Hypothetical and real , 2002 .

[10]  B. Fischhoff,et al.  Calibration of probabilities: the state of the art to 1980 , 1982 .

[11]  Richard Deaves,et al.  Data-conditioning biases, performance, persistence and flows: The case of Canadian equity funds , 2004 .

[12]  Izak Benbasat,et al.  An Experimental Investigation Of The Relationship Between Decision Makers, Decision Aids and Decision Making Effort , 1993 .

[13]  Ian Neale Pension design and structure: New lessons from behavioural finance , 2005 .

[14]  Daniel J. Power,et al.  AN EMPIRICAL ASSESSMENT OF COMPUTER‐ASSISTED DECISION ANALYSIS* , 1986 .

[15]  A. Tversky,et al.  Intuitive Prediction: Biases and Corrective Procedures , 1982 .

[16]  Mark S. Silver,et al.  Decisional Guidance for Computer-Based Decision Support , 1991, MIS Q..

[17]  J. Hair Multivariate data analysis , 1972 .

[18]  M. Zeldin Heuristics! , 2010 .

[19]  O. Mitchell,et al.  Pension design and structure : new lessons from behavioral finance , 2004 .

[20]  Sandra J. Huston,et al.  The Brighter Side of Financial Risk: Financial Risk Tolerance and Wealth , 2005 .

[21]  StatmanMeir A Century of Investors , 2006 .

[22]  Izak Benbasat,et al.  An experimental program investigating color-enhanced and graphical information presentation: an integration of the findings , 1986, CACM.

[23]  Constantin Zopounidis,et al.  A multicriteria DSS for stock evaluation using fundamental analysis , 2008, Eur. J. Oper. Res..

[24]  Russell L. Purvis,et al.  Forecasting the NYSE composite index with technical analysis, pattern recognizer, neural network, and genetic algorithm: a case study in romantic decision support , 2002, Decis. Support Syst..

[25]  K. Rouwenhorst,et al.  International Momentum Strategies , 1997 .

[26]  Rajeev Gowda Heuristics, biases, and the regulation of risk , 1999 .

[27]  O. Mitchell,et al.  Baby Boomer Retirement Security: The Roles of Planning, Financial Literacy, and Housing Wealth , 2006 .

[28]  Bruce W. Weber,et al.  Financial DSS: Systems for Supporting Investment Decisions , 2008 .

[29]  P. Miller,et al.  The Effect of Framing on Choice , 1990 .

[30]  P. Slovic Psychological Study of Human Judgment: Implications for Investment Decision-Making , 1972 .

[31]  A. Tversky,et al.  Judgment under Uncertainty: Heuristics and Biases , 1974, Science.

[32]  John E. Grable,et al.  Financial risk tolerance revisited: the development of a risk assessment instrument* , 1999 .

[33]  Julie R. Agnew,et al.  Asset Allocation and Information Overload: The Influence of Information Display, Asset Choice and Investor Experience , 2004 .

[34]  Gur Huberman,et al.  How Much Choice is Too Much?: Contributions to 401(k) Retirement Plans , 2003 .

[35]  Lawrence H. Summers,et al.  Tax policy and the economy , 1989 .

[36]  O. Mitchell,et al.  Lessons from Behavioral Finance for Retirement Plan Design , 2003 .

[37]  Izak Benbasat,et al.  The effects of decision support and task contingencies on model formulation: A cognitive perspective , 1996, Decis. Support Syst..

[38]  Ilze Zigurs,et al.  Decisional guidance and end-user display choices , 1999 .

[39]  William F. Wright COGNITIVE INFORMATION PROCESSING BIASES: IMPLICATIONS FOR PRODUCERS AND USERS OF FINANCIAL INFORMATION* , 1980 .

[40]  Brian D. Singer,et al.  Determinants of Portfolio Performance II: An Update , 1991 .

[41]  A. Tversky,et al.  The framing of decisions and the psychology of choice. , 1981, Science.

[42]  M. Statman,et al.  A Century of Investors , 2002 .

[43]  F. Burstein,et al.  Handbook on Decision Support Systems 1 , 2008 .

[44]  Gideon Keren,et al.  Cognitive Aids and Debiasing Methods: CAN Cognitive Pills Cure Cognitive Ills? , 1990 .

[45]  Brad M. Barber,et al.  Online Investors: Do the Slow Die First? , 1999 .

[46]  Jonathan S. Evans,et al.  Bias in human reasoning , 1990 .

[47]  Peter Stecher,et al.  Incorporating cognitive aids into decision support systems: the case of the strategy execution process , 1986 .

[48]  Ralph H. Sprague,et al.  A Framework for the Development of Decision Support Systems , 1993 .

[49]  Gerardine DeSanctis,et al.  CONTINUITY IN MIS/DSS LABORATORY RESEARCH: THE CASE FOR A COMMON GAMING SIMULATOR* , 1983 .

[50]  Brad M. Barber,et al.  Boys Will Be Boys: Gender, Overconfidence, and Common Stock Investment , 1998 .

[51]  William J. Doll,et al.  The Measurement of End-User Computing Satisfaction , 1988, MIS Q..

[52]  Gerardine DeSanctis,et al.  Graphical presentation of accounting data for financial forecasting: An experimental investigation , 1989 .

[53]  Dov Te'eni,et al.  Feedback in DSS as a Source of Control: Experiments with the Timing of Feedback , 1991 .

[54]  D. Ellsberg Decision, probability, and utility: Risk, ambiguity, and the Savage axioms , 1961 .

[55]  O. Svenson ARE WE ALL LESS RISKY AND MORE SKILLFUL THAN OUR FELLOW DRIVERS , 1981 .

[56]  Prabhudev Konana,et al.  The Social-Economic-Psychological model of technology adoption and usage: an application to online investing , 2005, Decis. Support Syst..

[57]  Gokul Bhandari,et al.  The Demographics of Overconfidence , 2006 .

[58]  David Arnott,et al.  Cognitive biases and decision support systems development: a design science approach , 2006, Inf. Syst. J..

[59]  Martin S. Fridson,et al.  Memoirs of Extraordinary Popular Delusions and the Madness of Crowds , 2019 .

[60]  Ronald T. Wilcox Bargain Hunting or Star Gazing? Investors' Preferences for Stock Mutual Funds , 2003 .

[61]  Blake Ives,et al.  Graphical User Interfaces for Business Information Systems , 1982, MIS Q..

[62]  Izak Benbasat,et al.  A Framework for Addressing Group Judgment Biases with Group Technology , 1996, J. Manag. Inf. Syst..

[63]  G. Lawrence Sanders,et al.  An Experimental Validation of the Gorry and Scott Morton Framework , 1989, MIS Q..

[64]  Peng Chen,et al.  Subjective and Objective Risk Tolerance: Implications for Optimal Portfolios , 1998 .

[65]  Ralph H. Sprague,et al.  Invited Article: A Framework for the Development of Decisoin Support Systems , 1980, MIS Q..

[66]  Brian L. Dos Santos,et al.  A Study of User Interface Aids for Model-Oriented Decision Support Systems , 1988 .

[67]  Iris Vessey,et al.  Multiattribute Data Presentation and Human Judgment: A Cognitive Fit Perspective* , 1994 .

[68]  Joey F. George,et al.  Countering the anchoring and adjustment bias with decision support systems , 2000, Decis. Support Syst..

[69]  Gokul Bhandari,et al.  Misinformed and informed asset allocation decisions of self-directed retirement plan members , 2008 .

[70]  D P Schultz,et al.  The human subject in psychological research. , 1969, Psychological bulletin.