Multi-criteria Decision Support for Investment Decisions: Examining the Interactive Effects of Risk Profile, Information Horizon, and Prospect Format

Using a psychological approach toward designing a Multi-Criteria Decision Support Systems (MCDSS), three prominent design features -- risk profile, information horizon, and prospect format -- are embedded in a MCDSS to help users overcome a tendency to build overly conservative investment portfolios. Consistent with myopic loss aversion theory, users exhibit a decreased willingness to take calculated risks when a MCDSS presents risk profiles with more variation and larger probabilities and magnitudes of losses. Such risk profiles prove particularly problematic when extended information horizons (e.g., 10 years) prevail. Regardless of risk profile, a MCDSS can activate heuristic-based decision processes by presenting multi-trial prospects in a manner that overwhelms cognitive capacity. Implications for theory and practice are discussed.

[1]  C. Noussair,et al.  Reference Point Formation , 2015 .

[2]  C. Copeland Individual Account Retirement Plans: An Analysis of the 2010 Survey of Consumer Finances , 2012, EBRI issue brief.

[3]  Andrew M. Hardin,et al.  Myopic loss aversion: Demystifying the key factors influencing decision problem framing , 2012 .

[4]  Martin Weber,et al.  Reference-Point Formation and Updating , 2011, Manag. Sci..

[5]  Andrew M. Hardin,et al.  Decision Support for Retirement Portfolio Management: Overcoming Myopic Loss Aversion via Technology Design , 2009, Manag. Sci..

[6]  E. Yechiam,et al.  Loss aversion, diminishing sensitivity, and the effect of experience on repeated decisions† , 2008 .

[7]  Asli Yagmur Akbulut,et al.  Understanding the Determinants of Service Channel Preference in the Early Stages of Adoption: A Social Cognitive Perspective on Online Brokerage Services , 2008, Decis. Sci..

[8]  Thomas Langer,et al.  Does Commitment or Feedback Influence Myopic Loss Aversion? An Experimental Analysis , 2008 .

[9]  K. Niki Kunene,et al.  An approach for predicting and describing patient outcome using multicriteria decision analysis and decision rules , 2008, Eur. J. Oper. Res..

[10]  Mohammed Abdellaoui,et al.  Loss Aversion Under Prospect Theory: A Parameter-Free Measurement , 2007, Manag. Sci..

[11]  Gary Charness,et al.  Strong Evidence for Gender Differences in Investment , 2007 .

[12]  D. Hirshleifer,et al.  A Cross-Cultural Study of Reference Point Adaptation: Evidence from China, Korea, and the US , 2007 .

[13]  A. Lusardi,et al.  Financial Literacy and Retirement Preparedness: Evidence and Implications for Financial Education , 2007 .

[14]  Wei Wang,et al.  Risk and confidence analysis for fuzzy multicriteria decision making , 2006, Knowl. Based Syst..

[15]  Fred D. Davis,et al.  Multiple prospect framing and decision behavior: The mediational roles of perceived riskiness and perceived ambiguity , 2006 .

[16]  Peter A. Todd,et al.  Paradoxes of Online Investing: Testing the Influence of Technology on User Expectancies , 2006, Decis. Sci..

[17]  John A. List,et al.  Do professional traders exhibit myopic loss aversion? An experimental analysis , 2005 .

[18]  Gerrit van Bruggen,et al.  DSS Effectiveness in Marketing Resource Allocation Decisions: Reality vs. Perception , 2004, Inf. Syst. Res..

[19]  Charles Bellemare,et al.  Myopic Loss Aversion: Information Feedback vs. Investment Flexibility , 2004 .

[20]  A. Kapteyn,et al.  Evaluation Periods and Asset Prices in a Market Experiment , 2003 .

[21]  Sanjiv Jaggia,et al.  Risk Aversion and the Investment Horizon: A New Perspective on the Time Diversification Debate , 2000 .

[22]  R. Thaler,et al.  Risk Aversion Or Myopia? Choices in Repeated Gambles and Retirement Investments , 1999 .

[23]  A. Tversky,et al.  The Effect of Myopia and Loss Aversion on Risk Taking: An Experimental Test , 1997 .

[24]  Miles S. Kimball,et al.  Preference Parameters and Behavioral Heterogeneity: An Experimental Approach in the Health and Retirement Survey , 1995 .

[25]  R. Thaler,et al.  Myopic Loss Aversion and the Equity Premium Puzzle , 1993 .

[26]  A. Tversky,et al.  Advances in prospect theory: Cumulative representation of uncertainty , 1992 .

[27]  Richard H. Thaler,et al.  Mental Accounting and Consumer Choice , 1985, Mark. Sci..

[28]  A. Tversky,et al.  Judgment Under Uncertainty: Heuristics and Biases. , 1984 .

[29]  A. Tversky,et al.  Decision, probability, and utility: Prospect theory: An analysis of decision under risk , 1979 .

[30]  A. Young Prospect Theory: An Analysis of Decision Under Risk (Kahneman and Tversky, 1979) , 2011 .

[31]  Sharon Gifford,et al.  Risk and Uncertainty , 2010 .

[32]  Rakesh K. Sarin,et al.  Does More Money Buy You More Happiness , 2008 .

[33]  Martin Weber,et al.  Myopic prospect theory vs. myopic loss aversion: how general is the phenomenon? , 2005 .

[34]  R. Thaler,et al.  The Equity Premium Puzzle , 2001 .

[35]  Andy P. Field,et al.  Discovering Statistics Using SPSS , 2000 .

[36]  J. Potters,et al.  An experiment on risk taking and evaluation periods , 1997 .

[37]  Stephen J. Hoch,et al.  A psychological approach to decision support systems , 1996 .

[38]  D. Kahneman,et al.  Timid choices and bold forecasts: a cognitive perspective on risk taking , 1993 .

[39]  M. Bazerman Judgment in Managerial Decision Making , 1990 .

[40]  A. Tversky,et al.  Judgment under uncertainty: References , 1982 .

[41]  P. Samuelson Risk and uncertainty: a fallacy of large numbers , 1963 .

[42]  G. A. Miller The magical number seven plus or minus two: some limits on our capacity for processing information. , 1956, Psychological review.