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Disclosure Quality and Market Liquidity

Authors: Frank Heflin; Kenneth W. Shaw; John J. Wild;

Disclosure Quality and Market Liquidity

Abstract

We find that firms with higher quality disclosures have lower effective bid-ask spreads and lower adverse selection spread components. In contrast, we also find that firms with higher quality disclosures have lower quoted depths, resulting in no unambiguous conclusion regarding market liquidity and disclosure quality. These results illustrate the importance of examining both spreads and depths when studying market liquidity. We reconcile these seemingly conflicting results by performing a series of tests involving trade sizes and depths. We conclude that a policy of higher quality disclosures does, indeed, enhance a firm's market liquidity. In addition, our analyses suggest it is the quality of accounting information, rather than management's private communications with analysts, that drives relations between information quality and market liquidity. Thus our results suggest high quality accounting information, publicly available to all investors, helps reduce information asymmetry.

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Top 10%
Top 10%
Top 10%
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