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A Trading Volume Benchmark: Theory and Evidence

  • Paula A. Tkac (a1)

This paper provides a theoretical rebalancing benchmark for trading volume that delivers a connection between trading activity in individual stocks and market-wide volume. This model supports the empirical use of an adjustment for market-wide trading activity when filtering out normal trading volume. Data on a sample of large NYSE/AMEX firms support the usefulness of the benchmark. While 20% of the sample firms exhibit trading behavior that is consistent with the cross-sectional prediction of the rebalancing benchmark, systematic deviations exist. An analysis of deviations from the benchmark allows a characterization of anomalous trading activity. I find that average excess turnover vs. the benchmark is positively related to option availability and institutional ownership and negatively related to firm size. The data do not yield a uniform conclusion on the effect of S&P 500 inclusion. S&P 500 inclusion does not significantly increase the trading of firms that are already trading above benchmark levels, but does result in additional trading for firms that undertrade the benchmark prior to inclusion. An investigation of individual firm market model regressions indicates that this is a useful methodology for filtering out the anomalous trading documented here.

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Bamber, L.The Information Content of Annual Earnings Releases: A Trading Volume Approach.” Journal of Accounting Research, 24 (1986), 4056.
Beneish, M., and Gardner, J.. “Information Costs and Liquidity Effects from Changes in the Dow Jones Industrial Average List.” Journal of Financial and Quantitative Analysis, 30 (1995), 135157.
Beneish, M., and Whaley, R.. “An Anatomy of the ‘S&P Game’: The Effects of Changing the Rules.” Journal of Finance, 51 (1996), 19091930.
Bessembinder, H.; Chang, K.; and Seguin, P.. “An Empirical Examination of Information, Differences of Opinion and Trading Activity.” Journal of Financial Economics, 40 (1996), 105134.
Chan, L., and Lakonishok, J.. “The Behavior of Stock Prices around Institutional Trades.” Journal of Finance, 50 (1995), 11471174.
Del Guercio, D.The Distorting Effect of the Prudent Man Law on Institutional Equity Investments.” Journal of Financial Economics, 40 (1996). 3162.
Diamond, D., and Verrecchia, R.. “Disclosure, Liquidity and the Cost of Capital.” Journal of Finance, 46 (1991), 13251359.
Dumas, B.Two-Person Dynamic Equilibrium in the Capital Market.” Review of Financial Studies, 2 (1989), 157188.
Fama, E., and French, K.. “The Cross-Section of Expected Stock Returns.” Journal of Finance, 47 (1992), 427466.
Hakansson, N.Optimal Investment and Consumption Strategies under Risk for a Class of Utility Functions.” Econometrica, 38 (1970), 587607.
Harris, L., and Gurel, E.. “Price and Volume Effects: Associated with Changes in the S&P 500 List: New Evidence for the Existence of Price Pressures.” Journal of Finance, 41 (1986), 815829.
Keim, D., and Madhavan, A.. “Transactions Costs and Investment Style: An Inter-exchange Analysis of Institutional Equity Trades.” Journal of Financial Economics, 46 (1997), 265292.
Kumar, R.; Sarin, A.; and Shastri, K.. “The Impact of Options Trading on the Market Quality of the Underlying Security: An Empirical Analysis.” Journal of Finance, 53 (1998), 717732.
Lakonishok, J., and Smidt, S.. “Volume for Winners and Losers: Taxation and Other Motives for Stock Trading.” Journal of Finance, 41 (1986), 951974.
Lakonishok, J., and Vermaelen, T.. “Tax-Induced Trading around Ex-Dividend Days.” Journal of Financial Economics, 16 (1986), 287319.
Lakonishok, J.; Shleifer, A.; Thaler, R.; and Vishny, R.. “Window Dressing by Pension Fund Managers.” American Economic Review, 81 (1991), 227231.
Lang, L.; Litzenberger, R.; and Madrigal, V.. “Testing Financial Market Equilibrium under Asymmetric Information.” Journal of Political Economy, 100 (1992), 317348.
Lo, A., and Wang, J.. “Trading Volume: Definitions, Data Analysis, and Implications of Portfolio Theory.” Working Paper, MIT (1997).
Lynch, A., and Mendenhall, R.. “New Evidence on Stock Price Effects Associated with Changes in the S&P 500 Index.” Journal of Business, 70 (1997), 351383.
Merton, R.An Intertemporal Capital Asset Pricing Model.” Econometrica, 41 (1973), 867887.
Michaely, R., and Murgia, M.. “Heterogeneity on Prices and Volume around the Ex-Dividend Day: Evidence from the Milan Stock Exchange.” Review of Financial Studies, 8 (1995), 369399.
Michaely, R., and Vila, J.. “Investors' Heterogeneity, Prices, and Volume around the Ex-Dividend Day.” Journal of Financial and Quantitative Analysis, 30 (1995), 171198.
Neal, R.Direct Tests of Index Arbitrage Models.” Journal of Financial and Quantitative Analysis, 31 (1996), 541562.
Richardson, G.; Sefcik, S.; and Thompson, R.. “A Test of Dividend Irrelevance Using Volume Reactions to a Change in Dividend Policy.” Journal of Financial Economics, 17 (1986), 313333.
Ross, S. “Discussion: Intertemporal Asset Pricing.” In Financial Markets and Incomplete Information, Bhattacharya, and Constantinides, , eds. Totowa, NJ: Rowman Littlefield (1989).
Rubinstein, M.An Aggregation Theory for Security Markets.” Journal of Financial Economics.” 1 (1974), 225244.
Sanders, R., and Zdanowicz, J.. “Target Firm Abnormal Returns and Trading Volume around the Initiation of Change in Control Transactions.” Journal of Financial and Quantitative Analysis, 27 (1992), 109129.
Schwartz, R., and Shapiro, J.. “The Challenge of Institutionalization for the Equity Market.” Working Paper, New York Univ. (1992).
Shleifer, A.Do Demand Curves for Stocks Slope Down?Journal of Finance, 41 (1986), 579590.
Thompson, R.; Olsen, C.; and Dietrich, J.. “Attributes of News about Firms: An Analysis of Firm- Specific News Reported in the Wall Street Journal Index.” Journal of Accounting Research, 25 (1987), 245287.
Vijh, A.S&P500 Trading Strategies and Stock Betas.” Review of Financial Studies, 7 (1994), 215251.
Yermack, D.CEO Stock Option Awards and Company News Announcements.” Journal of Finance, 52 (1997), 449476.
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Journal of Financial and Quantitative Analysis
  • ISSN: 0022-1090
  • EISSN: 1756-6916
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