Caught on Tape: Predicting Institutional Ownership With Order Flow
Many questions about institutional trading can only be answered if one can track institutional equity ownership continuously. However, these data are only available on quarterly reporting dates. We infer institutional trading behavior from the "tape," the Transactions and Quotes database of the New York Stock Exchange, by regress- ing quarterly changes in reported institutional ownership on quarterly buy and sell volume in different trade size categories. Our regression method predicts institutional ownership signifcantly better than the simple cutoff rules used in previous research. We also find that total buy (sell) volume predicts increasing (decreasing) institutional ownership, consistent with institutions demanding liquidity in aggregate. Furthermore, institutions tend to trade in large or very small sizes: buy (sell) volume at these sizes predicts increasing (decreasing) institutional ownership, while the pattern reverses at intermediate trade sizes that appear favored by individuals. We then explore changes in institutional trading strategies. Institutions appear to prefer medium size trades on high volume days and large size trades on high volatility days.
|Date of creation:||2004|
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- Finucane, Thomas J., 2000. "A Direct Test of Methods for Inferring Trade Direction from Intra-Day Data," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(04), pages 553-576, December.
- Ellis, Katrina & Michaely, Roni & O'Hara, Maureen, 2000. "The Accuracy of Trade Classification Rules: Evidence from Nasdaq," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(04), pages 529-551, December.
- Randolph B. Cohen & Paul A. Gompers & Tuomo Vuolteenaho, 2002.
"Who Underreacts to Cash-Flow News? Evidence from Trading between Individuals and Institutions,"
NBER Working Papers
8793, National Bureau of Economic Research, Inc.
- Cohen, Randolph B. & Gompers, Paul A. & Vuolteenaho, Tuomo, 2002. "Who underreacts to cash-flow news? evidence from trading between individuals and institutions," Journal of Financial Economics, Elsevier, vol. 66(2-3), pages 409-462.
- Lakonishok, Josef & Shleifer, Andrei & Vishny, Robert W., 1992.
"The impact of institutional trading on stock prices,"
Journal of Financial Economics,
Elsevier, vol. 32(1), pages 23-43, August.
- Lakonishok, Josef & Shleifer, Andrei & Vishny, Robert W., 1992. "The impact of institutional trading on stock prices," Scholarly Articles 27692662, Harvard University Department of Economics.
- Lee, Charles M C & Ready, Mark J, 1991. " Inferring Trade Direction from Intraday Data," Journal of Finance, American Finance Association, vol. 46(2), pages 733-46, June.
- Chakravarty, Sugato, 2001.
"Stealth-trading: Which traders' trades move stock prices?,"
Journal of Financial Economics,
Elsevier, vol. 61(2), pages 289-307, August.
- Sugato Chakravarty, 2002. "Stealth-Trading: Which Traders' Trades Move Stock Prices?," Finance 0201003, EconWPA.
- Russ Wermers, 1999. "Mutual Fund Herding and the Impact on Stock Prices," Journal of Finance, American Finance Association, vol. 54(2), pages 581-622, 04.
- Paul A. Gompers & Andrew Metrick, .
"Institutional Investors and Equity Prices,"
Rodney L. White Center for Financial Research Working Papers
20-99, Wharton School Rodney L. White Center for Financial Research.
- Daniel, Kent, et al, 1997. " Measuring Mutual Fund Performance with Characteristic-Based Benchmarks," Journal of Finance, American Finance Association, vol. 52(3), pages 1035-58, July.
- Grinblatt, Mark & Keloharju, Matti, 2000. "The investment behavior and performance of various investor types: a study of Finland's unique data set," Journal of Financial Economics, Elsevier, vol. 55(1), pages 43-67, January.
- Joseph Chen & Harrison Hong & Jeremy C. Stein, 2001.
"Breadth of Ownership and Stock Returns,"
NBER Working Papers
8151, National Bureau of Economic Research, Inc.
- Mark Grinblatt, 2001.
"What Makes Investors Trade?,"
Journal of Finance,
American Finance Association, vol. 56(2), pages 589-616, 04.
- Lee, Charles M. C. & Radhakrishna, Balkrishna, 2000. "Inferring investor behavior: Evidence from TORQ data," Journal of Financial Markets, Elsevier, vol. 3(2), pages 83-111, May.
- Easley, David & O'Hara, Maureen & Saar, Gideon, 2001. "How Stock Splits Affect Trading: A Microstructure Approach," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 36(01), pages 25-51, March.
- Nelson, Charles R & Siegel, Andrew F, 1987. "Parsimonious Modeling of Yield Curves," The Journal of Business, University of Chicago Press, vol. 60(4), pages 473-89, October.
- Tuomo Vuolteenaho, 2002. "What Drives Firm-Level Stock Returns?," Journal of Finance, American Finance Association, vol. 57(1), pages 233-264, 02.
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