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Prospect Theory and Asset Prices

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Author Info
Nicholas Barberis
Ming Huang
Tano Santos
Abstract

We propose a new framework for pricing assets, derived in part from the traditional consumption-based approach, but which also incorporates two long-standing ideas in psychology: prospect theory, and evidence on how prior outcomes affect risky choice. Consistent with prospect theory, the investor in our model derives utility not only from consumption levels but also from changes in the value of his financial wealth. He is much more sensitive to reductions in wealth than to increases, the ``loss-aversion'' feature of prospect utility. Moreover consistent with experimental evidence, the utility he receives from gains and losses in wealth depends on his prior investment outcomes; prior gains cushion subsequent losses -- the so-called 'house-money' effect -- while prior losses intensify the pain of subsequent shortfalls. We study asset prices in the presence of agents with preferences of this type, and find that our model reproduces the high mean, volatility, and predictability of stock returns. The key to our results is that the agent's risk-aversion changes over time as a function of his investment performance. This makes prices much more volatile than underlying dividends and together with the investor's loss-aversion, leads to large equity premia. Our results obtain with reasonable values for all parameters.

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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 7220.

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Date of creation: Jul 1999
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Handle: RePEc:nbr:nberwo:7220

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G12 - Financial Economics - - General Financial Markets - - - Asset Pricing

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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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    Other versions:
Full references

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. John Heaton & Deborah Lucas, 2000. "Stock Prices and Fundamentals," NBER Chapters, in: NBER Macroeconomics Annual 1999, Volume 14, pages 213-264 National Bureau of Economic Research, Inc. [Downloadable!]
    Other versions:
  2. Aaron Tornell, 2003. "Robust-H_infinity Forecasting and Asset Pricing Anomalies (December 2001)," UCLA Economics Online Papers 237, UCLA Department of Economics. [Downloadable!]
  3. Andrew Ang & Geert Bekaert & Jun Liu, 2000. "Why Stocks May Disappoint," NBER Working Papers 7783, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
    Other versions:
  4. Tan Wang, 2000. "Updating Rules for Non-Bayesian Preferences," Econometric Society World Congress 2000 Contributed Papers 0157, Econometric Society. [Downloadable!]
  5. Aaron Tornell, 2000. "Robust-H-infinity Forecasting and Asset Pricing Anomalies," NBER Working Papers 7753, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  6. Matthew Rabin., 2000. "Inference by Believers in the Law of Small Numbers," Economics Working Papers E00-282, University of California at Berkeley. [Downloadable!]
  7. Matthew Rabin, 2000. "Inference by Believers in the Law of Small Numbers," Department of Economics, Working Paper Series 1031, Department of Economics, Institute for Business and Economic Research, UC Berkeley. [Downloadable!]
  8. Matthew Rabin, 2001. "Inference by Believers in the Law of Small Numbers," Method and Hist of Econ Thought 0012002, EconWPA. [Downloadable!]
  9. Patricia Tovar, 2004. "The Effects of Loss Aversion on Trade Policy and the Anti-Trade Bias Puzzle," Econometric Society 2004 North American Summer Meetings 499, Econometric Society. [Downloadable!]
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