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Cited by 257

The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.

Measuring Investors' Opinion Divergence

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GARFINKEL, JON A.·2009·Journal of Accounting Research

Abstract

Numerous proxies for divergence of investors' opinions have been suggested in the empirical accounting and finance literatures. I offer a new proxy constructed from proprietary limit order and market order data. This allows me to capture additional information on investors' private valuations. Proxies from the extant literature, based on publicly available data, do not contain such information. Given my new measure, I ask which of the extant proxies correlates best with it. In my regression analysis, unexplained volume is the best proxy for opinion divergence. Conditioning on various firm‐specific and order‐specific characteristics generally does not change this conclusion. The main exception is the sample of firms without IBES forecast dispersion data, for which bid‐ask spread is the best proxy for opinion divergence. Factor analysis also suggests that unexplained volume is the preferred proxy for opinion divergence.

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Metadata

Authors
GARFINKEL, J. A.
Venue
Journal of Accounting Research
Publisher
Wiley
Published
2009-10-12
Volume
47
Issue
5
Pages
1317-1348
ISSN
  • 0021-8456 (ISSN-L)
  • 1475-679X
OpenAlex
W3125120201
Cited by
257
References
63
FWCI
11.20
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Measuring Investors' Opinion Divergence. https://app.cochat.ai/papers/10.1111/j.1475-679x.2009.00344.x
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GARFINKEL, J. A. (2009). Measuring Investors' Opinion Divergence. Journal of Accounting Research. https://doi.org/10.1111/j.1475-679x.2009.00344.x

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

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