Skip to main content

Overweighing Recent Observations: Experimental Results and Economic Implications

  • Conference paper
Experimental Business Research

Abstract

We conduct an experimental study in which subjects choose between alternative risky investments. Just as in the “hot hands” belief in basketball, we find that even when subjects are explicitly told that the rates of return are drawn randomly and independently over time from a given distribution, they still assign a relatively large decision weight to the most recent observations — approximately double the weight assigned to the other observations. As in reality investors face returns as a time series, not as a lottery distribution (employed in most experimental studies), this finding may be more relevant to realistic investment situations, where a temporal sequence of returns is observed, than the probability weighing of single-shot lotteries as suggested by Prospect Theory and Rank Dependent Expected Utility. The findings of this paper suggests a simple explanation to several important economic phenomena, like momentum (the positive short run autocorrelation of stock returns), and the relationship between recent fund performance and the flow of money to the fund. The results also have important implications to asset allocation, pricing, and the risk-return relationship.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Agarwal, V., N. D. Daniel, and N. Y. Naik (2003). “Rows, Performance, and Managerial Incentives in the Hedge Fund Industry.” EFA 2003 Paper No. 501.

    Google Scholar 

  • Albert, J., and J. Bennett (2001). Curve ball: Baseball, Statistics, and the Role of Chance in the Game. New York: Copernicus.

    MATH  Google Scholar 

  • Albright, S. C. (1993). “A Statistical Analysis of Hitting Streaks in Baseball.” Journal of the American Statistical Association, 88, 1175–1183.

    Article  Google Scholar 

  • Arrow, K. J. (1982). “Risk Perception in Psychology and Economics.” Economic Inquiry, 20, 1–9.

    Article  Google Scholar 

  • Barberis, N., A. Shleifer, and R. Vishny (1998). “A Model of Investor Sentiment.” Journal of Financial Economics, 49, 307–43.

    Article  Google Scholar 

  • Battalio, R. C, H. Kagel, and K. Jiranyakul (1990). “Testing between Alternative Models of Choice under Uncertainty: Some Initial Results.” Journal of Risk and Uncertainty 3, 25–50.

    Article  Google Scholar 

  • Beckers, S. (1997). “Manager Skill and Investment Performance: How Strong is the Link?” The Journal of Portfolio Management, 23, 9–23.

    Article  Google Scholar 

  • Budescu, D., and A. Rapoport (1994). “Subjective Randomization in One-and Two-Person Games.” Journal of Behavioral Decision Making, 7, 261–278.

    Article  Google Scholar 

  • Camerer, C. F. (1989). “Does the Basketball Market Believe in the ‘Hot Hand?’ American Economic Review, 79, 1257–61.

    Google Scholar 

  • Camerer, C. F. (1992). “The Rationality of Prices and Volume in Experimental Markets.” Organizational Behavior and Human Decision Processes, 51, 237–72.

    Article  Google Scholar 

  • Camerer, C. F. (1995). “Individual Decision Making,” in Handbook of Experimental Economics. J. Kagel and A. E. Roth, eds., Princeton: Princeton U. Press.

    Google Scholar 

  • Camerer, C. F., and M. Weber (1992). “Recent Developments in Modeling Preferences: Uncertainty and Ambiguity.” Journal of Risk and Uncertainty, 5, 325–370.

    Article  MATH  Google Scholar 

  • Chevalier, J., and Ellison, G. (1997). “Risk Taking by Mutual Funds as Response to Incentives.” Journal of Political Economy, 105, 1167–1200.

    Article  Google Scholar 

  • Chopra, N., J. Lakonishok, and J. R. Ritter (1992). “Measuring Abnormal Performance: Do Stocks Overreact?” Journal of Financial Economics, 31, 235–68.

    Article  Google Scholar 

  • Daniel, K. D. (1996). “The Power and Size of Asset Pricing Tests.” University of Michigan Mimeo, 1996.

    Google Scholar 

  • Daniel, K., D. Hirshleifer, and A. Subrahmanyan (1999). “Investor Psychology and Market-and Over-Reactions.” Journal of Finance, 53, 1839–85.

    Article  Google Scholar 

  • De Bondt, W., and R. Thaler (1985). “Does the Stock Market Overreact?” Journal of Finance, 40, 793–805.

    Article  Google Scholar 

  • De Bondt, W., and R. Thaler (1987). “Further Evidence on Investor Overreaction and Stock Market Seasonality.” Journal of Finance, 42, 557–81.

    Article  Google Scholar 

  • DeLong, B. J., A. Shleifer, L.H. Summers, and R.J. Waldman (1990). “Positive Feedback Investment Strategies and Destabilizing Rational Speculation.” Journal of Finance, 45, 370–395.

    Article  Google Scholar 

  • Edwards, W. (1953). “Probability Preference in Gambling.” American Journal of Psychology, 66, 349–364.

    Article  PubMed  CAS  Google Scholar 

  • Edwards, W. (1962). “Subjective Probabilities Inferred from Decisions.” Psychology Review, 69, 109–35.

    Article  CAS  Google Scholar 

  • Fama, E. F. (1970). “Efficient Capital Markets: A Review of Theory and Empirical Work.” Journal of Finance, 25, 383–417.

    Article  Google Scholar 

  • Fama, E. F. (1991). “Efficient Capital Markets: II.” Journal of Finance, 46, 1575–1617.

    Article  Google Scholar 

  • Fama, E. F., and K. French (1988). “Permanent and Temporary Components of Stock Prices.” Journal of Political Economy, 96, 246–273.

    Article  Google Scholar 

  • Fishburn, P. C. (1964). Decisions and Value Theory, Wiley, New York.

    Google Scholar 

  • Friedman, M. (1953). Methodology of Positive Economics, Chicago: University of Chicago Press.

    Google Scholar 

  • Gilovich, T., B. Vallone, and A. Tversky (1985). “The Hot Hand in Basketball: On the Misconception of Random Sequences.” Cognitive Psychology, 17, 295–314.

    Article  Google Scholar 

  • Hadar, J., and W. Russell (1969). “Rules for Ordering Uncertain Prospects.” American Economic Review, 59, 25–34.

    Google Scholar 

  • Hanoch, G., and H. Levy (1969). “The Efficiency Analysis of Choices Involving Risk.” Review of Economic Studies, 36, 335–346.

    Article  MATH  Google Scholar 

  • Harless, D. W. and C. F. Camerer (1994). “The Predictive Utility of Generalized Expected Utility Theories.” Econometrica, 62, 1251–89.

    Article  MATH  Google Scholar 

  • Hong, H., and J. C. Stein (1999). “A Unified Theory of Underreaction, Momentum Trading and Over-reaction in Asset Markets.” Journal of Finance, 2143–2184.

    Google Scholar 

  • Jegadeesh, N. (1990). “Evidence of Predictable Behavior of Security Returns.” Journal of Finance 45, 881–898.

    Article  Google Scholar 

  • Jegadeesh, N., and S. Titman (1993). “Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency.” Journal of Finance, 48, 65–91.

    Article  Google Scholar 

  • Kahneman, D., and A. Tversky (1979). “Prospect Theory: An Analysis of Decision Under Risk”, Econometrica, 47, 263–291.

    Article  MATH  Google Scholar 

  • Kroll, Y., H. Levy, and A. Rapoport (1988). “Experimental Test of the Mean-Variance Model for Portfolio Selection.” Organizational Behavior and Human Decision Processes, 42.

    Google Scholar 

  • Levy, H. (1992). “Stochastic Dominance and Expected Utility: Survey and Analysis.” Management Science, April, 555–593.

    Google Scholar 

  • Levy, H. (1997). “Risk and Return: An Experimental Analysis.” International Economic Review, February, 38, 119–149.

    Article  MATH  ADS  Google Scholar 

  • Levy, H. (1998). Stochastic Dominance, Kluwer academic Press.

    Google Scholar 

  • Levy, H., and Levy, M. (2002b). “Experimental Test of the Prospect Theory Value Function.” Organizational Behavior and Human Decision Processes 89, 1058–1081.

    Article  Google Scholar 

  • Levy, H., and M. Levy (2003). “Prospect Theory and Mean-Variance Analysis.” Review of Financial Studies, forthcoming.

    Google Scholar 

  • Levy, H., M. Levy, and N. Alisof (2003). “‘Homemade Leverage’: Theory versus Experimental Evidence.” Journal of Portfolio Management, forthcoming.

    Google Scholar 

  • Levy, H., and K. C. Lim (1998). “The Economic Significance of the Cross-Sectional Autoregressive Model: Further Analysis.” Review of Quantitative Finance and Accounting, 11, 37–51.

    Article  Google Scholar 

  • Levy, M., and H. Levy (2001). “Testing for Risk-Aversion: A Stochastic Dominance Approach.” Economics Letters, 71, 233–240.

    Article  MATH  ADS  Google Scholar 

  • Levy, M., and H. Levy (2002a). “Prospect Theory: Much Ado About Nothing?” Management Science, 48, 1334–1349.

    Article  Google Scholar 

  • Levy, M., H. Levy, and S. Solomon (2000). Microscopic Simulation of Financial Markets: From Investor Behavior to Market Phenomena, Academic Press.

    Google Scholar 

  • Lintner, J. (1965). “Security Prices, Risk, and Maximal Gains from Diversification.” Journal of Finance 20, 587–615.

    Article  Google Scholar 

  • Lo, A., and C. MacKinlay (1990). “When are Contrarian Profits due to Stock Market Overreaction?” Review of Financial Studies, 3, 175–205.

    Article  Google Scholar 

  • Luo, D. (2003). “Chasing the Market? Driving the Market? A Study of Mutual Fund Cash Flows”, Yale ICF Working Paper No. 03-22.

    Google Scholar 

  • Markowitz, H. (1952a). “Portfolio Selection.” Journal of Finance 7, 77–91.

    Article  Google Scholar 

  • Markowitz, H. (1952b). “The Utility of Wealth.” Journal of Political Economy, 60, 151–156.

    Article  Google Scholar 

  • Payne, J. W., J. Bettman, and E. Johnson (1992). “Behavioral Decision Research: A Constructive Processing Perspective.” Annual Review of Psychology, 43, 87–131.

    Article  Google Scholar 

  • Plott, C. R. (1986). “Rational Choice in Experimental Markets.” Journal of Business, 59, 301–327.

    Article  Google Scholar 

  • Poterba, J., and L. Summers (1988). “Mean Reversion in Stock Prices: Evidence and Implications.” Journal of Financial Economics, 22, 27–59.

    Article  Google Scholar 

  • Prelec, D. (1998). “The Probability Weighting Function.” Econometrica, 66, 497–527.

    Article  MATH  MathSciNet  Google Scholar 

  • Preston, M. G., and P. Baratta (1948). “An Experimental Study of the Auction-Value of Uncertain Outcomes.” American Journal of Psychology, 61, 183–193.

    Article  Google Scholar 

  • Quiggin, J. (1982). “A Theory of Anticipated Utility.” Journal of Economic Behavior Organization, 323–43.

    Google Scholar 

  • Rabin, M. (2002). “Inferences by Believers in the Law of Small Numbers.” Quarterly Journal of Economics, 117, 817–869.

    Article  MATH  Google Scholar 

  • Rapoport, A. and Budescu, D. (1992). “Generation of Random Binary Series in Strictly Competitive Games.” Journal of Experimental Psychology: General, 121, 352–364.

    Article  Google Scholar 

  • Rapoport, A. and Budescu, D. (1997). “Randomization in individual choice behavior.” Psychological Review, 104, 603–617.

    Article  Google Scholar 

  • Roll, R., (1977). “A Critique of the Asset Pricing Theory’s Test, Part I: On Past and Potential Testability of Theory.” Journal of Financial Economics 4, 129–176.

    Article  Google Scholar 

  • Rothschild, M., and J. Stiglitz (1970). “Increasing Risk: I. A definition.” Journal of Economic Theory, 2, 225–243.

    Article  MathSciNet  Google Scholar 

  • Samuelson, P. A. (1989). “The Judgment of Economic Science on Rational Portfolio Management: Indexing, Timing and Long-Horizon Effects.” The Journal of Portfolio Management, 1989, 4–12.

    Article  Google Scholar 

  • Sapp, T., and A. Tiwari (2003). “Does Stock Return Momentum Explain the’ smart Money’ Effect?” Journal of Finance, forthcoming.

    Google Scholar 

  • Sharpe, W. F. (1964). “Capital Asset Prices: A Theory of Market Equilibrium Under Conditions of Risk.” Journal of Finance 19, 425–442.

    Article  Google Scholar 

  • Sharpe, W. F. (1966). “Mutual Fund Performance.” Journal of Business, September, 39, 119–138.

    Article  Google Scholar 

  • Shefrin, H. M., and M. Statman (1985). “The Disposition to Sell Winners Too Early and Ride Losers Too Long: Theory and Evidence.” Journal of Finance, 40, 774–90.

    Article  Google Scholar 

  • Tobin, J. (1958). “Liquidity Preference as Behavior Toward Risk.” Review of Economic Studies, 25, 457–59.

    Google Scholar 

  • Tversky, A., and D. Kahneman (1971). “Belief in the Law of Small Numbers.” Psychological Bulletin, 76, 105–110.

    Article  Google Scholar 

  • Tversky, A., and D. Kahneman (1974). “Judgment under Uncertainty: Heuristics and Biases.” Science, 185, 1124–1130.

    Article  ADS  Google Scholar 

  • Tversky, A., and D. Kahneman (1992). “Advances in Prospect Theory: Cumulative Representation of Uncertainty.” Journal of Risk and Uncertainty, 297–323.

    Google Scholar 

  • von Neuman J. and O. Morgenstern (1953). Theory of Games and Economic Behavior, Princeton University Press, Princeton.

    Google Scholar 

  • Wang, J. (1993). “A Model of Intertemporal Asset Prices Under Asymmetric Information.” Review of Economic Studies, 60, 249–282.

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer

About this paper

Cite this paper

Levy, H., Levy, M. (2005). Overweighing Recent Observations: Experimental Results and Economic Implications. In: Zwick, R., Rapoport, A. (eds) Experimental Business Research. Springer, Boston, MA. https://doi.org/10.1007/0-387-24244-9_7

Download citation

Publish with us

Policies and ethics