This paper studies the role that trading activity plays in the price discovery process of a NYSE-listed stock. We measure the expected information content of each trade by estimating its permanent price impact. It depends on observable trade features and market conditions. We also estimate the time required for quotes to incorporate all the information content of a particular trade. Our results show that price discovery is faster after risky trades and also at the extreme intervals of the session. The quote adjustment to trade-related shocks is progressive and this causes risk persistency and unusual short-term market conditions. (C) 2002 Elsevier B.V. All rights reserved.
机构:
Joseph L. Rotman School of Management, University of Toronto, Toronto, ON M5S 3E6Joseph L. Rotman School of Management, University of Toronto, Toronto, ON M5S 3E6
机构:
Univ Vienna, Fac Business Econ & Stat, Oskar Morgenstern Pl 1, A-1090 Vienna, AustriaUniv Vienna, Fac Business Econ & Stat, Oskar Morgenstern Pl 1, A-1090 Vienna, Austria
Pohl, Mathias
Ristig, Alexander
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Univ Vienna, Fac Business Econ & Stat, Oskar Morgenstern Pl 1, A-1090 Vienna, Austria
Univ Vienna, Fac Math, Oskar Morgenstern Pl 1, A-1090 Vienna, AustriaUniv Vienna, Fac Business Econ & Stat, Oskar Morgenstern Pl 1, A-1090 Vienna, Austria
Ristig, Alexander
Schachermayer, Walter
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Univ Vienna, Fac Math, Oskar Morgenstern Pl 1, A-1090 Vienna, AustriaUniv Vienna, Fac Business Econ & Stat, Oskar Morgenstern Pl 1, A-1090 Vienna, Austria
Schachermayer, Walter
Tangpi, Ludovic
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Princeton Univ, Dept Operat Res & Financial Engn, Sherrerd Hall 203, Princeton, NJ 08544 USAUniv Vienna, Fac Business Econ & Stat, Oskar Morgenstern Pl 1, A-1090 Vienna, Austria