A Trading Volume Benchmark: Theory and Evidence

Abstract 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.

[1]  Jiang Wang,et al.  Trading Volume: Definitions, Data Analysis, and Implications of Portfolio Theory , 2000 .

[2]  William H. Sackley Transactions Costs and Investment Style: An Inter-Exchange Analysis of Institutional Equity Trades , 1998 .

[3]  Atulya Sarin,et al.  The Impact of Options Trading on the Market Quality of the Underlying Security: An Empirical Analysis , 1998 .

[4]  Donald B. Keim,et al.  Transactions costs and investment style: an inter-exchange analysis of institutional equity trades , 1997 .

[5]  R. Whaley,et al.  An Anatomy of the “S&P Game”: The Effects of Changing the Rules , 1996 .

[6]  R. Neal,et al.  Direct Tests of Index Arbitrage Models , 1996, Journal of Financial and Quantitative Analysis.

[7]  Richard R. Mendenhall,et al.  New Evidence on Stock Price Effects Associated with Charges in the S&P 500 Index , 1996 .

[8]  Roni Michaely,et al.  Investors' Heterogeneity, Prices, and Volume around the Ex-Dividend Day , 1995, Journal of Financial and Quantitative Analysis.

[9]  Roni Michaely,et al.  The Effect of Tax Heterogeneity on Prices and Volume around the Ex-Dividend Day: Evidence from the Milan Stock Exchange , 1995 .

[10]  M. D. Beneish,et al.  Information Costs and Liquidity Effects from Changes in the Dow Jones Industrial Average List , 1995, Journal of Financial and Quantitative Analysis.

[11]  David Yermack,et al.  Good Timing: CEO Stock Option Awards and Company News Announcements , 1995 .

[12]  Louis K.C. Chan,et al.  The Behavior of Stock Prices Around Institutional Trades , 1993 .

[13]  V. Madrigal,et al.  Testing Financial Market Equilibrium under Asymmetric Information , 1992, Journal of Political Economy.

[14]  John S. Zdanowicz,et al.  Target Firm Abnormal Returns and Trading Volume around the Initiation of Change in Control Transactions , 1992, Journal of Financial and Quantitative Analysis.

[15]  Robert E. Verrecchia,et al.  Disclosure, Liquidity, and the Cost of Capital , 1991 .

[16]  Andrei Shleifer,et al.  Window Dressing by Pension Fund Managers , 1991 .

[17]  B. Dumas Two-Person Dynamic Equilibrium in the Capital Market , 1989 .

[18]  Rb Thompson,et al.  Attributes Of News About Firms - An Analysis Of Firm-Specific News Reported In The Wall Street Journal Index , 1987 .

[19]  Rex Thompson,et al.  A test of dividend irrelevance using volume reactions to a change in dividend policy , 1986 .

[20]  Lawrence Harris,et al.  Price and Volume Effects Associated with Changes in the S&P 500 List: New Evidence for the Existence of Price Pressures , 1986 .

[21]  Seymour Smidt,et al.  Volume for Winners and Losers: Taxation and Other Motives for Stock Trading , 1986 .

[22]  Josef Lakonishok,et al.  Tax-induced trading around ex-dividend days , 1986 .

[23]  Andrei Shleifer,et al.  Do Demand Curves for Stocks Slope Down , 1986 .

[24]  Linda Smith Bamber The information content of annual earnings releases : a trading volume approach , 1986 .

[25]  Mark Rubinstein,et al.  An aggregation theorem for securities markets , 1974 .

[26]  R. C. Merton,et al.  AN INTERTEMPORAL CAPITAL ASSET PRICING MODEL , 1973 .

[27]  N. H. Hakansson. OPTIMAL INVESTMENT AND CONSUMPTION STRATEGIES UNDER RISK FOR A CLASS OF UTILITY FUNCTIONS11This paper was presented at the winter meeting of the Econometric Society, San Francisco, California, December, 1966. , 1970 .

[28]  Diane Del Guercio The Distorting Effect of the Prudent-Man Laws on Institutional Equity Investments , 1996 .

[29]  Kalok Chan,et al.  An empirical examination of information, differences of opinion, and trading activity , 1996 .

[30]  Anand M. Vijh S&P 500 Trading Strategies and Stock Betas , 1994 .

[31]  G. Constantinides,et al.  Financial markets and incomplete information , 1989 .