Lin, William and Tsai, Shih-Chuan and Sun, David (2009): What Causes Herding:Information Cascade or Search Cost ?
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Abstract
We analyze in this study cause of herding in a stock market. Information cascades have often been considered as a primary choice. However, we present evidences inconsistent in this study. Employing intraday order book data, our analysis supports the inclusion of of an alternative theory based on search cost of investors, in addition to the information cascade argument. Specifically, previous works studied daily data or those with lower frequency based on a herding measure of Lakonishok, Shleifer, and Vishny (1992). We adopt instead the measure of Patterson and Sharma (2006) and argue that the search model of Vayanos and Wang (2007) characterizes herding phenomenon better at market open. Our analysis is also consistent with the information competition equilibrium of Back, Cao and Willard (2000) and dynamic friction model of Hu (2006).We find that stronger order flow herding is driven by lower transactions cost and shorter time to fill an order. Herding tends to occur in trading of high-cap, high turnover stocks, which contradicts prediction of the information cascade hypothesis. Search cost effect is stronger at market open, while information cascade effect is stronger at market close. Therefore our study suggests that herding should be related both to intrinsic search cost structure of investors as well as information related factors.
Item Type: | MPRA Paper |
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Original Title: | What Causes Herding:Information Cascade or Search Cost ? |
Language: | English |
Keywords: | Herding, information cascade, search model, order book |
Subjects: | G - Financial Economics > G1 - General Financial Markets > G12 - Asset Pricing ; Trading Volume ; Bond Interest Rates L - Industrial Organization > L1 - Market Structure, Firm Strategy, and Market Performance > L11 - Production, Pricing, and Market Structure ; Size Distribution of Firms C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C14 - Semiparametric and Nonparametric Methods: General D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D82 - Asymmetric and Private Information ; Mechanism Design D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D83 - Search ; Learning ; Information and Knowledge ; Communication ; Belief ; Unawareness |
Item ID: | 21204 |
Depositing User: | David Sun |
Date Deposited: | 08 Mar 2010 19:37 |
Last Modified: | 27 Sep 2019 09:03 |
References: | 1. Avery, C. and Zemsky, P., 1998, Multidimensional uncertainty and herd behavior in financial markets, American Economic Review, 88(4), 724-748. 2. Back, K., Cao, H.C., and Willard, G.A., 2000, Imperfect Competition among Informed Traders, Journal of Finance, 55(5), 2117-2155. 3. Banerjee, A., 1992, A Simple Model of Herd Behavior, Quarterly Journal of Economics, 107, 797-817. 4. Barber, B. M., Odean, T. and Zhu, N., 2003, Systematic Noise, Working paper, University of California, Berkeley. 5. Bikhchandani, S., D. Hirshleifer, and Welch, I., 1992, A Theory of Fads, Fashion, Custom, and Cultural Change as Informational Cascades, Journal of Political Economy 100, 992-1026. 6. Bouchaud, J.P., 2002, An Introduction to Statistical Finance, Physical A 313, 238-251. 7. Chang, E. C., Cheng, J. W., and Khoran, A., 2000, An examination of herd behavior in equity markets: An international perspective, Journal of Banking and Finance, Vol. 24 (10), pp. 1651-1699. 8. Christie, W. G., and Huang, R. D., 1995, Following the pied piper: Do individual returns herd around the market? Financial Analyst Journal, Vol. 51 (4), pp. 31-37 9. Christoffersen, S. K. and Tang, Y., 2009, Institutional Herding and Information Cascades: Evidence from Daily Trades, Working Paper, McGill University. 10. Cont, R. and Bouchaud, J.P., 2000, Herd Behavior and Aggregate Fluctuations in Financial Markets,” Macroeconomic Dynamics , 4, 170-196. 11. Cutler, D.M, Poterba, J.M., and Summers, L., 1989, What Moves Stock Prices? Journal of Portfolio Management, 15, 4-12. 12. Dorn, D., Huberman,G., and Sengmueller, P., 2008, Correlated Trading and Returns, Journal of Finance, 2, 885-920. 13. Finucane T. J., 2002, A Direct Test of Methods for Inferring Trade Direction from Intra-day Data, Journal of Financial and Quantitative Analysis, 35, 553-557. 14. Gleason, K. C., Mathur, I., and Peterson, M. A., 2004, Analysis of intraday herding behavior among the sector ETFs, Journal of Empirical Finance, Vol. 11, pp.681-694. 15. Guarino, A. and Cipriani, M., 2008, Transaction Costs and Informational Cascades in Financial Markets, Journal of Economic Behavior & Organization, 68 (3-4), 581-592. 16. Harris, L., 1986, A Transaction Data Study of Weekly and Intraday Patterns in Stock Returns, Journal of Financial Economics, 16, 99-117. 17. Henker, J., T. Henker and Mitsios, A., 2006, Do Investors Herd Intraday in Australian Equities? International Journal of Managerial Finance, 2, 196-219. 18. Hu, S., 2006, A Simple Estimate of Noise and Its Determinant in a Call Auction Market, International Review of Financial Analysis, 15, 348-362. 19. Kang, J. K., and Stulz, R.M., 1997, Why Is There a Home Bias? An Analysis of Foreign Portfolio Equity Ownership in Japan, Journal of Financial Economics 46, 3-28. 20. Lakonishok, J., Shleifer, A., and Vishny, R. W., 1992, The Impact of Institutional Trading on Stock Prices, Journal of Financial Economics, 32, 23-43. 21. Lee, C.M.C., and Ready, M.J., 1991, Inferring Trade form Intraday data, Journal of Finance, 46, 733-746. 22. Mian G.M. and Adam, C.M., 2001, Volatility Dynamics in High Frequency Financial Data: An Empirical Investigation of the Australian Equity Returns, Applied Financial Economics 11, 341-352. 23. Mood, A., 1940. The distribution theory of runs. Annals of Mathematical Statistics, 11, 367-392. 24. Nofsinger, J.R., and Sias, R.W., 1999, Herding and Feedback Trading by Institutional and Individual Investors, Journal of Finance, 54, 2263-2295. 25. Patterson, D., and Sharma, V., 2006, Do Traders Follow Each Other at the NYSE? Working Paper, University of Michigan-Dearborn. 26. Rajan, R. G., 1994, Why credit policies fluctuate: A theory and some evidence, Quarterly Journal of Economics, 436, 399-422 27. Shiller R., 1989, Market Volatility, MIT Press, Cambridge, MA. 28. Sias, R. W., 2004, Institutional Herding, Review of Financial Studies, 17, 165-206. 29. Stoll, H.R., 2000, Friction, Journal of Finance, 55, 1479-1514. 30. Ting, H., 2009, Does Corporate Governance Matter to Institutional Investors? Journal of Management, 26(3), 233-253. 31. Vayanos, D. and Wang, T., 2007, Search and Endogenous Concentration of Liquidity in Asset Markets, Journal of Economic Theory, 136, 66-104. 32. Wermers, R., 1999, Mutual Fund Herding and the Impact on Stock Prices, Journal of Finance, 54, 581-622. 33. Yan, X., and Zhang, Z., 2007, Institutional Investors and Equity Returns: Are Short-term Institutions Better Informed? Review of financial Studies, 22, 893-924. 34. Zhou, R.T., and Lai, R.N., 2008, Herding and positive feedback trading on property stocks, Journal of Empirical Finance, 26(2), 110-131. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/21204 |
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What Causes Herding:Information Cascade or Search Cost ? (deposited 24 Jan 2010 19:04)
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