Stephen V. Brown, Ph. D.
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Cosine Similarity
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Deep Learning
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NLP
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Financial Statement Adequacy and Firms’ MD&A Disclosures
Brown, S. V., Hinson, L. A., and J. W. Tucker. 2024. Financial Statement Adequacy and Firms’ MD&A Disclosures.
Contemporary Accounting Research
. 41 (1): 126-162.
Using a variety of NLP techniques, we look at how companies use the narrative MD&A in the 10-K to compensate when their financial statements have relatively lower information contained in the quantitative numbers.
Apr 2024
Textual Analysis in Accounting: What’s Next?
Bochkay, K., Brown, S. V., Leone, A. J. and J. W. Tucker. 2023. Textual Analysis in Accounting: What’s Next?.
Contemporary Accounting Research
. 40 (2): 765-805.
We discuss new developments in Natural Language Processing (NLP) and how they can be applied to perform textual analysis in accounting research.
Aug 2023
Financial Statement Similarity
Brown, S. V., Ma, G., and J. W. Tucker (2023). Financial Statement Similarity.
Contemporary Accounting Research
. 40 (4): 2577–2615.
We develop a novel measure of financial statement similarity using vector-based cosine similarity.
Jul 2023
The Spillover Effect of SEC Comment Letters on Qualitative Corporate Disclosure: Evidence from the Risk Factor Disclosure
Brown, S. V., X. Tian, and J. W. Tucker. 2018. The Spillover Effect of SEC Comment Letters on Qualitative Corporate Disclosure: Evidence from the Risk Factor Disclosure.
Contemporary Accounting Research
. 35 (2): 622-656.
This paper examines how SEC comment letters to one company can lead to other companies modifying their own disclosures.
Jun 2018
Auditor-Client Compatibility and Audit Firm Selection
Brown, S. V. and W. R. Knechel. 2016. Auditor-Client Compatibility and Audit Firm Selection.
Journal of Accounting Research
. 54 (3): 725-775.
Using cosine similarity to compare clients of an auditor, we examine how well each client fits into the portfolio and what happens when they have low compatibility.
Jun 2016
Large-Sample Evidence on Firms’ Year-over-Year MD&A Modifications
Brown, S. V. and J. Tucker. 2011. Large-Sample Evidence on Firms’ Year-Over-Year MD&A Modifications.
Journal of Accounting Research
. 49 (2): 309-346.
We introduce a cosine-based measure to the accounting literature that proxies for year-over-year changes in companies’ 10-K MD&A disclosures.
May 2011
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