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THE INCIDENCE OF INFORMATIONAL CASCADES AND THE BEHAVIOR OF TRADE INTERARRIVAL TIMES DURING THE STOCK MARKET BUBBLE

Published online by Cambridge University Press:  12 March 2010

Douglas M. Patterson*
Affiliation:
Pamplin College of Business, Virginia Tech
Vivek Sharma
Affiliation:
University of Michigan, Dearborn
*
Address correspondence to: Douglas M. Patterson, Department of Finance, Pamplin College of Business, Virginia Tech, Blacksburg, VA 24061, USA; e-mail: [email protected].

Abstract

This paper investigates the possible formation of informational cascades by traders in a random sample of 8,000 NYSE stock-days experiencing extreme price changes during 1998–2001. Our cascade measure is designed to detect informational cascades in high-frequency stock market prices. First, we find evidence of cascades on approximately 12% of the days when the NYSE experiences, on average, large price increases. This percentage increases to about 20% on days experiencing large price decreases, on average. Second, we find evidence that the interarrival times of trades in those stocks exhibiting significant informational cascades are generated by a nonlinear stochastic process. Third, the evidence supporting cascades is largely confined to smaller stocks and to stocks followed by fewer security analysts. Last, the occurrence of cascades appears to correlate with the incorporation of fundamental information into security prices.

Type
Articles
Copyright
Copyright © Cambridge University Press 2010

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References

REFERENCES

Alevy, J., Haigh, M., and List, J.A. (2007) Information cascades: Evidence from a field experiment with financial market professionals. Journal of Finance 62, 151180.Google Scholar
Anderson, A.M. and Dyl, E.A. (2005) Market structure and trading volume. Journal of Financial Research 28 (1), 115131.Google Scholar
Anderson, A.M. and Dyl, E.A. (2007) Trading volume: NASDAQ and the NYSE. Financial Analyst Journal 63 (3), 7986.Google Scholar
Atkins, A.B. and Dyl, E.A. (1990) Price reversals, bid-ask spreads, and market efficiency. Journal of Financial and Quantitative Analysis 25, 535547.Google Scholar
Atkins, A.B. and Dyl, E.A. (1997) Market structure and reported trading volume: NASDAQ versus the NYSE. Journal of Financial Research 20 (3), 291304.Google Scholar
Avery, C. and Zemsky, P. (1998) Multidimensional uncertainty and cascades behavior in financial markets. American Economic Review 88, 724748.Google Scholar
Banerjee, A. (1992) Simple model of cascades behavior. Quarterly Journal of Economics 107, 797817.Google Scholar
Barberis, N. and Shleifer, A. (2003) Style investing. Journal of Financial Economics 68, 161199.Google Scholar
Bikhchandani, S., Hirshleifer, D., and Welch, I. (1992) A theory of fads, fashion, custom, and cultural change as informational cascades. Journal of Political Economy 100, 9921026.Google Scholar
Boni, L. and Womack, K. (2006) Analysts, industries, and price momentum. Journal of Financial and Quantitative Analysis 41 (1), 85109.Google Scholar
Bremer, M., Hiraki, T., and Sweeney, R.J. (1997) The predictable patterns after large stock price changes on the Tokyo Stock Exchange. Journal of Financial and Quantitative Analysis 32, 345365.Google Scholar
Bremer, M. and Sweeney, R.J. (1991) The reversals of large stock price decreases. Journal of Finance 46, 747754.Google Scholar
Brown, K., Harlow, W.V., and Tinic, S.M. (1988) Risk aversion, uncertain information, and market efficiency. Journal of Financial Economics 22, 355385.Google Scholar
Brown, K., Harlow, W.V., and Tinic, S.M. (1993) The risk and required return of common stock following major price innovations. Journal of Financial and Quantitative Analysis 28, 101106.Google Scholar
Brown, L. D. (ed.), 2000, I/B/E/S Research Bibliography, 6th ed.New York: I/B/E/S International Incorporated.Google Scholar
Cao, H.H., Coval, J.D., and Hirshleifer, D. (2002) Sidelined investors, trading-generated news, and security returns. Review of Financial Studies 15, 615648.Google Scholar
Christie, W.G. and Huang, R.D. (1995) Following the Pied Piper: Do individual returns cascades around the market? Financial Analysts Journal (July–August), 31–37.Google Scholar
Cipriani, M. and Guarino, A. (2005) Cascades behavior in laboratory financial markets. American Economic Review 95 (5), 14271443.Google Scholar
Cox, D.R. and Peterson, D.R. (1994) Stock returns following large one-day declines: Evidence on short-term reversals and long-term performance. Journal of Finance 49, 255267.Google Scholar
Cutler, D.M., Poterba, J.M., and Summers, L. (1989) What moves stock prices? Journal of Portfolio Management (Spring), 15, 412.CrossRefGoogle Scholar
DeBondt, W.F.M. and Thaler, R. (1985) Does the stock market overreact? Journal of Finance 40, 793805.Google Scholar
Drehmann, M., Oechssler, J., and Roider, A. (2005) Cascades and contrarian behavior in financial markets: An Internet experiment. American Economic Review 95, 14031426.Google Scholar
Dreman, D. (1979) Contrarian Investment Strategy: The Psychology of Stock Market Success. New York: Random House.Google Scholar
Fama, E. and Macbeth, J. (1973) Risk, return, and equilibrium: Empirical tests. Journal of Political Economy 81, 607636.Google Scholar
Finucane, T.J. (2000) A direct test of methods for inferring trade direction from intraday data. Journal of Financial and Quantitative Analysis 35, 553557.Google Scholar
Friedman, B.M. (1984) A comment: Stock prices and social dynamics. Brookings Papers on Economic Activity 2, 504508.Google Scholar
Froot, A.K., Scharfstein, D.S., and Stein, J. (1992) Cascades on the street: Informational inefficiencies in a market with short-term speculation. Journal of Finance 47, 14611484.Google Scholar
Grinblatt, M., Titman, S., and Wermers, R. (1995) Momentum investment strategies, portfolio performance, and cascades: A study of mutual fund behavior. American Economic Review 85, 10881105.Google Scholar
Henker, J., Henker, T., and Mitsios, A. (2006) Do investors cascades intraday in the Australian equities market? International Journal of Managerial Finance 2 (3), 196219.Google Scholar
Hinich, M.J. and Patterson, D.M. (2006) Detecting epochs of transient dependence in white noise. In Belongia, Michael T. and Binner, Jane M. (eds.), Money, Measurement and Computation. New York: Palgrave Macmillan.Google Scholar
Hirshleifer, D., Subrahmanyam, A., and Titman, S. (1994) Security analysis and trading patterns when some investors receive information before others. Journal of Finance 49, 16651698.Google Scholar
Hirshleifer, D. and Teoh, H.S.H. (2003) Cascades behavior and cascading in financial markets: A review and synthesis. European Financial Management 9 (1), 2566.Google Scholar
Lakonishok, J., Shleifer, A., and Vishny, R.W. (1992) The impact of institutional trading on stock prices. Journal of Financial Economics 312, 2343.Google Scholar
Lee, C.M.C. and Ready, M.J. (1991) Inferring trade from intraday data. Journal of Finance 46, 733746.Google Scholar
Maug, E. and Naik, N. (1995) Cascades and Delegated Portfolio Management: The Impact of Relative Performance Evaluation on Asset allocation. Working paper, Duke University and London Business School.Google Scholar
Michaley, R. and Womack, K. (2005) Brokerage recommendations: Stylized characteristics, market responses and biases. In Thaler, Richard (ed.), Advances in Behavioral Finance II. New York: Russell Sage Foundation.Google Scholar
Mood, A. (1940) The distribution theory of runs. Annals of Mathematical Statistics 11, 367392.Google Scholar
Park, J. (1995) A market microstructure explanation for predictable variations in stock returns following large price changes. Journal of Financial and Quantitative Analysis 30, 241256.Google Scholar
Radalj, M. and McAleer, M. (1993) Cascades, Information Cascades and Volatility Spillovers in Futures Markets. Honors Thesis, University of Western Australia.Google Scholar
Scharfstein, D. and Stein, J. (1990), Cascades behavior and investment. American Economic Review 80, 465479.Google Scholar
Schipper, K. (1991) Analysts' forecasts. Accounting Horizons 5, 105121.Google Scholar
Shiller, R. 1989 Market Volatility. Cambridge, MA: MIT Press.Google Scholar
Sias, R.W. (2004) Institutional cascades. Review of Financial Studies 17, 165206.Google Scholar
Truemann, B. (1994) Analysts forecasts and cascades behavior. Review of Financial Studies 7, 97124.Google Scholar
Wallis, W. and Roberts, H., 1956, Statistics: A New Approach. New York: Free Press.Google Scholar
Wermers, R. (1999) Mutual fund trading and the impact on stock prices. Journal of Finance 54, 581622.CrossRefGoogle Scholar