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Dynamic Trading and Asset Prices: Keynes vs. Hayek

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Author Info
Giovanni Cespa () (Queen Mary University of London, Università di Salerno, CSEF and CEPR)
Xavier Vives (IESE Business School and UPF)

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Abstract

We investigate the dynamics of prices, information and expectations in a competitive, noisy, dynamic asset pricing equilibrium model. We look at the bias of prices as estimators of fundamental value in relation to traders' average expectations and note that prices are more (less) biased than average expectations if and only if traders over- (under-) rely on public information with respect to optimal statistical weights. We find that prices are biased in relation to average expectations whenever traders speculate on short-run price move- ments. In a market with long term traders, over-reliance on public information obtains if noise trade increments are correlated enough and/or there is low enough residual uncertainty in the payoff. This defines a “Keynesian” region; the complementary region is “Hayekian” in that prices are less biased than average expectations in the estimation of fundamental value. The standard case of no residual uncertainty and noise trading following a random walk is on the frontier of the two regions. With short-term traders there typically are two equilibria, with the stable (unstable) one displaying over- (under-) reliance on public information.

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Publisher Info
Paper provided by Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy in its series CSEF Working Papers with number 191.

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Date of creation: 01 Jan 2008
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Handle: RePEc:sef:csefwp:191

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Related research
Keywords: Price bias; long and short-term trading; multiple equilibria; average expectations; higher order beliefs; over-reliance on public information.;

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Find related papers by JEL classification:
G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
G12 - Financial Economics - - General Financial Markets - - - Asset Pricing
G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies

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References listed on IDEAS
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. Vives, Xavier, 1995. "Short-Term Investment and the Informational Efficiency of the Market," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 8(1), pages 125-60. [Downloadable!] (restricted)
    Other versions:
  2. Hua He & Jiang Wang, 1995. "Differential Information and Dynamic Behavior of Stock Trading Volume," NBER Working Papers 5010, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  3. De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-38, August. [Downloadable!] (restricted)
    Other versions:
  4. Cespa, Giovanni, 2002. "Short-term investment and equilibrium multiplicity," European Economic Review, Elsevier, vol. 46(9), pages 1645-1670, October. [Downloadable!] (restricted)
    Other versions:
  5. Biais, Bruno & Bossaerts, Peter, 1998. "Asset Prices and Trading Volume in a Beauty Contest," Review of Economic Studies, Blackwell Publishing, vol. 65(2), pages 307-40, April. [Downloadable!] (restricted)
  6. Guillermo Llorente & Roni Michaely & Gideon Saar & Jiang Wang, 2002. "Dynamic Volume-Return Relation of Individual Stocks," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 15(4), pages 1005-1047.
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  7. Wang, Jiang, 1994. "A Model of Competitive Stock Trading Volume," Journal of Political Economy, University of Chicago Press, vol. 102(1), pages 127-68, February. [Downloadable!] (restricted)
  8. He, Hua & Wang, Jiang, 1995. "Differential Information and Dynamic Behavior of Stock Trading Volume," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 8(4), pages 919-72. [Downloadable!] (restricted)
  9. Kristoffer Nimark, 2007. "Dynamic Higher Order Expectations," Economics Working Papers 1118, Department of Economics and Business, Universitat Pompeu Fabra. [Downloadable!]
  10. Stephen Morris & Hyun Song Shin, 2002. "Social Value of Public Information," American Economic Review, American Economic Association, vol. 92(5), pages 1521-1534, December. [Downloadable!]
  11. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-35, November. [Downloadable!] (restricted)
  12. Bacchetta, Philippe & van Wincoop, Eric, 2008. "Higher Order Expectations in Asset Pricing," CEPR Discussion Papers 6648, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
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  13. Vives, Xavier, 1997. "Learning from Others: A Welfare Analysis," Games and Economic Behavior, Elsevier, vol. 20(2), pages 177-200, August. [Downloadable!] (restricted)
  14. Admati, Anat R, 1985. "A Noisy Rational Expectations Equilibrium for Multi-asset Securities Markets," Econometrica, Econometric Society, vol. 53(3), pages 629-57, May. [Downloadable!] (restricted)
  15. Franklin Allen & Stephen Morris & Hyun Song Shin, 2006. "Beauty Contests and Iterated Expectations in Asset Markets," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 19(3), pages 719-752. [Downloadable!] (restricted)
  16. Kandel, Eugene & Pearson, Neil D, 1995. "Differential Interpretation of Public Signals and Trade in Speculative Markets," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 831-72, August. [Downloadable!] (restricted)
  17. Hellwig, Martin F., 1980. "On the aggregation of information in competitive markets," Journal of Economic Theory, Elsevier, vol. 22(3), pages 477-498, June. [Downloadable!] (restricted)
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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. George-Marios Angeletos & Guido Lorenzoni & Alessandro Pavan, 2007. "Wall Street and Silicon Valley: A Delicate Interaction," NBER Working Papers 13475, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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