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Liquidity, Information, and Infrequently Traded Stocks

EASLEY, DAVID, KIEFER, NICHOLAS M., O'HARA, MAUREEN, PAPERMAN, JOSEPH B.·1996·The Journal of Finance

Abstract

This article investigates whether differences in information‐based trading can explain observed differences in spreads for active and infrequently traded stocks. Using a new empirical technique, we estimate the risk of information‐based trading for a sample of New York Stock Exchange (NYSE) listed stocks. We use the information in trade data to determine how frequently new information occurs, the composition of trading when it does, and the depth of the market for different volume‐decile stocks. Our most important empirical result is that the probability of information‐based trading is lower for high volume stocks. Using regressions, we provide evidence of the economic importance of information‐based trading on spreads.

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Metadata

Authors
EASLEY, D., KIEFER, N. M., O'HARA, M., & PAPERMAN, J. B.
Venue
The Journal of Finance
Publisher
Wiley
Published
1996-09
Volume
51
Issue
4
Pages
1405-1436
ISSN
  • 0022-1082 (ISSN-L)
  • 1540-6261
OpenAlex
W2100746131
Cited by
1,588
References
0
FWCI
27.95
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Liquidity, Information, and Infrequently Traded Stocks. https://app.cochat.ai/papers/10.1111/j.1540-6261.1996.tb04074.x
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EASLEY, D., KIEFER, N. M., O'HARA, M., & PAPERMAN, J. B. (1996). Liquidity, Information, and Infrequently Traded Stocks. The Journal of Finance. https://doi.org/10.1111/j.1540-6261.1996.tb04074.x

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.