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The speed of stock price discovery

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  • Gavious, Arieh
  • Kedar-Levy, Haim

Abstract

We develop closed-form expressions for the path and speed of stock price discovery in a utility-based CAPM with wealth effects. Two investors with uniquely bounded risk-preferences always apply opposite portfolio rebalancing trades. These trades determine the intra-period path and speed of price discovery in a Walrasian, tâtonnement setup. While conditions for maximum speed exist, convergence is rapid over a wide range of endowments and preferences. Convergence to equilibrium is exponential, and its speed depends on endowments, risk-preferences, firm size, and market price for risk. Convergence is not guaranteed, and the conditions for divergence are specified.

Suggested Citation

  • Gavious, Arieh & Kedar-Levy, Haim, 2013. "The speed of stock price discovery," Journal of Financial Intermediation, Elsevier, vol. 22(2), pages 245-258.
  • Handle: RePEc:eee:jfinin:v:22:y:2013:i:2:p:245-258
    DOI: 10.1016/j.jfi.2012.09.003
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    1. Jennings, Robert & Starks, Laura, 1986. "Earnings Announcements, Stock Price Adjustment, and the Existence of Option Markets," Journal of Finance, American Finance Association, vol. 41(1), pages 107-125, March.
    2. Copeland, Thomas E & Galai, Dan, 1983. "Information Effects on the Bid-Ask Spread," Journal of Finance, American Finance Association, vol. 38(5), pages 1457-1469, December.
    3. Merton, Robert C., 1971. "Optimum consumption and portfolio rules in a continuous-time model," Journal of Economic Theory, Elsevier, vol. 3(4), pages 373-413, December.
    4. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    5. Stephen A. Ross, 2013. "The Arbitrage Theory of Capital Asset Pricing," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 1, pages 11-30, World Scientific Publishing Co. Pte. Ltd..
    6. David Easley & Robert F. Engle & Maureen O'Hara & Liuren Wu, 2008. "Time-Varying Arrival Rates of Informed and Uninformed Trades," Journal of Financial Econometrics, Oxford University Press, vol. 6(2), pages 171-207, Spring.
    7. Hillmer, S. C. & Yu, P. L., 1979. "The market speed of adjustment to new information," Journal of Financial Economics, Elsevier, vol. 7(4), pages 321-345, December.
    8. Frijns, Bart & Schotman, Peter, 2009. "Price discovery in tick time," Journal of Empirical Finance, Elsevier, vol. 16(5), pages 759-776, December.
    9. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2005. "Evidence on the speed of convergence to market efficiency," Journal of Financial Economics, Elsevier, vol. 76(2), pages 271-292, May.
    10. Easley, David & O'Hara, Maureen, 1987. "Price, trade size, and information in securities markets," Journal of Financial Economics, Elsevier, vol. 19(1), pages 69-90, September.
    11. Garvey, Ryan & Wu, Fei, 2009. "Intraday time and order execution quality dimensions," Journal of Financial Markets, Elsevier, vol. 12(2), pages 203-228, May.
    12. Stephen A. Ross, 1975. "Uncertainty and the Heterogeneous Capital Good Model," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 42(1), pages 133-146.
    13. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    14. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    15. Diamond, Douglas W. & Verrecchia, Robert E., 1987. "Constraints on short-selling and asset price adjustment to private information," Journal of Financial Economics, Elsevier, vol. 18(2), pages 277-311, June.
    16. Madhavan, Ananth & Panchapagesan, Venkatesh, 2000. "Price Discovery in Auction Markets: A Look Inside the Black Box," The Review of Financial Studies, Society for Financial Studies, vol. 13(3), pages 627-658.
    17. Easley, David & O'Hara, Maureen, 1992. "Time and the Process of Security Price Adjustment," Journal of Finance, American Finance Association, vol. 47(2), pages 576-605, June.
    18. Mehra, Rajnish & Prescott, Edward C., 1985. "The equity premium: A puzzle," Journal of Monetary Economics, Elsevier, vol. 15(2), pages 145-161, March.
    19. Johnson, Timothy C., 2006. "Dynamic liquidity in endowment economies," Journal of Financial Economics, Elsevier, vol. 80(3), pages 531-562, June.
    20. Jennings, R & Starks, L, 1985. "Information-Content And The Speed Of Stock-Price Adjustment," Journal of Accounting Research, Wiley Blackwell, vol. 23(1), pages 336-350.
    21. Busse, Jeffrey A. & Clifton Green, T., 2002. "Market efficiency in real time," Journal of Financial Economics, Elsevier, vol. 65(3), pages 415-437, September.
    22. Merton, Robert C, 1973. "An Intertemporal Capital Asset Pricing Model," Econometrica, Econometric Society, vol. 41(5), pages 867-887, September.
    23. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    24. Mendelson, Haim, 1982. "Market Behavior in a Clearing House," Econometrica, Econometric Society, vol. 50(6), pages 1505-1524, November.
    25. Asparouhova, Elena & Bossaerts, Peter & Plott, Charles, 2003. "Excess demand and equilibration in multi-security financial markets: the empirical evidence," Journal of Financial Markets, Elsevier, vol. 6(1), pages 1-21, January.
    26. Martens, Martin, 1998. "Price discovery in high and low volatility periods: open outcry versus electronic trading," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 8(3-4), pages 243-260, December.
    27. Friend, Irwin & Blume, Marshall E, 1975. "The Demand for Risky Assets," American Economic Review, American Economic Association, vol. 65(5), pages 900-922, December.
    28. Constantinides, George M, 1982. "Intertemporal Asset Pricing with Heterogeneous Consumers and without Demand Aggregation," The Journal of Business, University of Chicago Press, vol. 55(2), pages 253-267, April.
    29. Gosnell, Thomas F. & Keown, Arthur J. & Pinkerton, John M., 1996. "The intraday speed of stock price adjustment to major dividend changes: Bid-ask bounce and order flow imbalances," Journal of Banking & Finance, Elsevier, vol. 20(2), pages 247-266, March.
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    Cited by:

    1. Hauser, Shmuel & Kedar-Levy, Haim & Milo, Orit, 2022. "Price discovery during parallel stocks and options preopening: Information distortion and hints of manipulation," Journal of Financial Markets, Elsevier, vol. 59(PA).
    2. Immonen, Eero, 2015. "A quantitative description for efficient financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 433(C), pages 171-181.
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    4. Immonen, Eero, 2017. "Simple agent-based dynamical system models for efficient financial markets: Theory and examples," Journal of Mathematical Economics, Elsevier, vol. 69(C), pages 38-53.
    5. Kedar-Levy, Haim, 2020. "Price discovery in the small and in the large: Momentum and reversal, bubbles, and crashes," Journal of Financial Markets, Elsevier, vol. 48(C).

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