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Analyst Following and Market Liquidity *

Analyst Following and Market Liquidity * This paper investigates the relation between analyst characteristics (number of analysts following a firm and their forecast dispersion) and market liquidity characteristics (bid‐ask spreads and depths and the adverse‐selection component of the spread). Prior research has found contradictory results on the relation between analyst following and market liquidity and has offered differing theories on how analysts affect liquidity. While prior research has posited analysts as proxies for privately informed trade or as signals of information asymmetry, I hypothesize that analysts provide public information, implying that analyst following (forecast dispersion) should have a positive (negative) association with liquidity. Cross‐sectional simultaneous estimations provide support for this hypothesis. The results are both statistically significant and economically important. Granger causality tests indicate that analyst characteristics lead market liquidity characteristics. These results clarify the role of analysts in providing information to financial markets and highlight benefits of increased analyst following. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Contemporary Accounting Research Wiley

Analyst Following and Market Liquidity *

Contemporary Accounting Research , Volume 20 (3) – Sep 1, 2003

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References (41)

Publisher
Wiley
Copyright
2003 Canadian Academic Accounting Association
ISSN
0823-9150
eISSN
1911-3846
DOI
10.1506/X45Y-PMH7-PNYK-4ET1
Publisher site
See Article on Publisher Site

Abstract

This paper investigates the relation between analyst characteristics (number of analysts following a firm and their forecast dispersion) and market liquidity characteristics (bid‐ask spreads and depths and the adverse‐selection component of the spread). Prior research has found contradictory results on the relation between analyst following and market liquidity and has offered differing theories on how analysts affect liquidity. While prior research has posited analysts as proxies for privately informed trade or as signals of information asymmetry, I hypothesize that analysts provide public information, implying that analyst following (forecast dispersion) should have a positive (negative) association with liquidity. Cross‐sectional simultaneous estimations provide support for this hypothesis. The results are both statistically significant and economically important. Granger causality tests indicate that analyst characteristics lead market liquidity characteristics. These results clarify the role of analysts in providing information to financial markets and highlight benefits of increased analyst following.

Journal

Contemporary Accounting ResearchWiley

Published: Sep 1, 2003

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