Measuring Qualitative Information in Capital Markets Research: Comparison of Alternative Methodologies to Measure Disclosure Tone

By E. Henry, Andrew J. Leone. 2016

330 citations recorded by the source corpus.

Subfields: Accounting, Finance, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/818d39dcb1520e3f104d3ac0f3a1b3028a59c5e7

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In Accounting

1. Rui Shen
2. Kai Li
3. Sudheer Chava
4. Khrystyna Bochkay
5. Feng Mai
6. Xinyan Yan
7. Samuel B. Bonsall
8. Brian P. Miller

In Finance

1. Rui Shen
2. Tarek Abdelfattah
3. Hesham Bassyouny
4. Lei Tao
5. Kai Li
6. Feng Mai
7. Xinyan Yan
8. Brian P. Miller

In Management Science and Operations Research

1. Kai Li
2. Xinyan Yan
3. Rui Shen
4. Feng Mai
5. Khrystyna Bochkay
6. Jeffrey Hales
7. Hesham Bassyouny
8. Tarek Abdelfattah

Citations in the corpus

• Beyond narrative disclosure tone: The upper echelons theory perspective (2020, background): “This approach aims to measure the word frequency in a document based on a list of words representing the examined phenomenon divided by the total number of words in the document (Henry and Leone, 2016).”
• Analyzing Analyst Research: A Review of Past Coverage and Recommendations for Future Research (2018, background): “In accounting research, awareness of the importance of the analyst conference calls and the impact of the way they communicate with executives have led to significant attention by scholars to so-called disclosure research (e.g., Henry & Leone, 2015; Mayew & Venkatachalam, 2012).”
• Measuring Corporate Culture Using Machine Learning (2020, methodology): “For example, Henry and Leone (2016) evaluate different weighting schemes to quantify the tone of financial disclosures and conclude that using a domain-specific word list and equal-weighted word-frequency measures produce both powerful and replicable results in settings of measuring qualitative…”
• Hyperbole or Reality? Investor Response to Extreme Language in Earnings Conference Calls (2019, background): “(2012), Davis, Piger, and Sedor (2012), Huang et al. (2014), Henry and Leone (2016), Bonsall and Miller (2017), and Dyer, Lang, and Stice-Lawrence (2017).”
• A Plain English Measure of Financial Reporting Readability (2017, background): “Although relatively clear guidance exists for measuring linguistic attributes of financial disclosure such as tone (e.g., Loughran and McDonald, 2011; Henry and Leone, 2015), the appropriate measure of readability is far less clear.”