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Cited by 2,261

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Textual Analysis in Accounting and Finance: A Survey

Open access
LOUGHRAN, TIM, MCDONALD, BILL·2016·Journal of Accounting Research
DOI 10.1111/1475-679x.12123
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Abstract

Relative to quantitative methods traditionally used in accounting and finance, textual analysis is substantially less precise. Thus, understanding the art is of equal importance to understanding the science. In this survey, we describe the nuances of the method and, as users of textual analysis, some of the tripwires in implementation. We also review the contemporary textual analysis literature and highlight areas of future research.

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Metadata

Authors
LOUGHRAN, T., & MCDONALD, B.
Venue
Journal of Accounting Research
Publisher
Wiley
Published
2016-06-08
Volume
54
Issue
4
Pages
1187-1230
ISSN
  • 0021-8456 (ISSN-L)
  • 1475-679X
DOI
10.1111/1475-679x.12123
OpenAlex
W2625464253
Cited by
2,261
References
6
FWCI
394.79
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Textual Analysis in Accounting and Finance: A Survey. https://app.cochat.ai/papers/10.1111/1475-679x.12123
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LOUGHRAN, T., & MCDONALD, B. (2016). Textual Analysis in Accounting and Finance: A Survey. Journal of Accounting Research. https://doi.org/10.1111/1475-679x.12123

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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.