Abstract
We examine empirically the role of transaction costs and information quality as causes of cross-autocorrelations in security returns. Nonsynchronous trading influences are addressed by forming weekly returns based on averages of closing inside bid and ask quotations for NMS securities. Stock return volatility scaled by the bid-ask spread is employed as a proxy for transaction costs and trading volume is used as a measure of information quality. We find evidence that both transaction costs and information quality may contribute to cross-autocorrelations, but that information quality dominates transaction costs in explaining cross-autocorrelations after controlling for autocorrelation influences.
Similar content being viewed by others
References
Admati, Anat, and Paul Pfleiderer. “Divide and Conquer: A Theory of Intraday and Day-of-the-Week Mean Effects.”Review of Financial Studies 2, no. 1 (Spring 1989): 189–223.
Boudoukh, Jacob, Matthew Richardson, and Robert Whitelaw. “A Tale of Three Schools: Insights on Autocorrelations of Short-horizon Stock Returns.”Review of Financial Studies 7, no. 3 (Fall 1994): 539–573.
Brennan, Michael J., Narasimhan Jegadeesh, and Bhaskaran Swaminathan. “Investment Analysis and the Adjustment of Stock Prices to Common Information.”Review of Financial Studies 6, no. 4 (Winter 1993): 799–824.
Chan, Kalok. “Imperfect Information and Cross-autocorrelation Among Stock Prices.”Journal of Finance 48, no. 4 (September 1993): 1211–1230.
Cohen, Kalman J., Gabriel Hawawini, Steven Maier, Robert Schwartz, and David Whitcomb. “Implications of Microstructure Theory for Empirical Research on Stock Price Behavior.”Journal of Finance 35, no. 2 (May 1980): 249–257.
— “Frictions in the Trading Process and the Estimation of Systematic Risk.”Journal of Financial Economics 12, no. 1 (August 1983): 263–278.
Conrad, Jennifer, Mustafa Gultekin, and Gautam Kaul. “Asymmetric Predictability of Conditional Variances.”Review of Financial Studies 4, no. 3 (Fall 1991): 597–622.
Crudele, J. “Is Big Blue Still a Bellwether Stock?,”Washington Post October 25, 1991: H11.
Fosback, N. “Stock Market Logic: A Sophisticated Approach to Profits on Wall Street,” Institute for Econometric Research, Kingsport Press (1976).
Granger, Clive W.J. “Investigating Causal Relations by Econometric Models and Cross-spectral Models,”Econometrica 37, no. 1 (January 1969): 424–438.
Granville, James. “A Strategy of Daily Stock Market Timing for Maximum Profit.” Prentice-Hall, Inc., 1960.
Johnston, John.Econometric Methods, 3rd ed., McGraw-Hill, New York, NY (1984).
Ho, Thomas, and Roni Michaely. “Information Quality and Market Efficiency.”Journal of Financial and Quantitative Analysis 23, no. 1 (March 1988): 53–70.
Levingston, S. “Investors Yearn for New Bellwether to Take the Place of Declining IBM.”The Wall Street Journal December 21, 1992: C1.
Lo, Andrew, and A. Craig MacKinlay. “When are Contrarian Profits Due to Stock Market Overreaction?,”Review of Financial Studies 3, no. 1 (Spring 1990): 175–205.
Maddala, G. Econometrics, McGraw-Hill, New York, NY. 1977.
Mech, Timothy. “Portfolio Return Autocorrelation.”Journal of Financial Economics 34, no. 3 (December 1993): 307–344.
Slutsker, G. “Ma Bellwether? (AT&T May Replace IBM as Stock Market Performance Indicator),”Forbes March 1, 1993: 144.
Stovall, Robert. “All Clear from GM.”Financial World June 15. 1983: 41.
Stovall, Robert. “Brokerage Stocks as Market Bellwethers.”Financial World December 24. 1991: 124.
Stovall, Robert. “Dividends and the GM Bellwether.”Financial World March 31, 1992: 115.
Vartan, V. “IBM’s Stock as Bellwether,”New York Times April 15. 1983: D8.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Richardson, T.L., Peterson, D.R. Causes of cross-autocorrelation in security returns: Transaction costs versus information quality. J Econ Finance 21, 29–39 (1997). https://doi.org/10.1007/BF02929036
Issue Date:
DOI: https://doi.org/10.1007/BF02929036