Measuring Qualitative Information in Capital Markets Research

By E. Henry, Andrew J. Leone. 2009

79 citations recorded by the source corpus.

Subfields: Accounting, Economics and Econometrics, Finance

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Accounting

1. Weili Ge
2. Dawn A. Matsumoto
3. Angela K. Davis
4. Michael G. Foster
5. Charles H. Lundquist
6. Sarah E. McVay
7. Daniel W. Collins
8. Joshua A. Lee

In Economics and Econometrics

1. Dawn A. Matsumoto
2. Angela K. Davis
3. Weili Ge

In Finance

1. Weili Ge
2. Angela K. Davis
3. Dawn A. Matsumoto
4. Michael G. Foster
5. Charles H. Lundquist
6. Joshua A. Lee
7. I. Wang
8. W. B. Elliott

Citations in the corpus

• Textual Sentiment in Finance: A Survey of Methods and Models (2014, neutral): “Engelberg (2008), Feldman et al. (2008), Henry (2008), Henry and Leone (2009), Doran et al. (2010), Davis et al. (2011), Davis and Tama-Sweet (2011), Demers and Vega (2011), Huang et al. (2011), Loughran and McDonald (2011a, 2011b), Davis et al. (2012), Jegadeesh and Wu (2012), Price et al. (2012),…”
• Taxes and Financial Constraints: Evidence from Linguistic Cues (2015, unknown): “…al. (2009), Li (2010), Brown and Tucker (2011), Ball, Hoberg, and Maksimovic (2012)), earnings announcements and press releases (Engelberg (2008), Henry and Leone (2009), Feldman et al. (2010), Davis, Piger, and Sedor (2012), Demers and Vega (2014)), analyst reports (De Franco, Hope, Vyas, and…”
• Price Fluctuations and the Use of Bitcoin: An Empirical Inquiry (2015, unknown): “Following Henry and Leone [70], we construct a tone score for each document as a function of these frequencies: Tone = (Positive – Negative)/(Positive + Negative).”
• The Effect of Managerial "Style" on the Tone of Earnings Conference Calls ∗ (2012, background): “12 Henry and Leone (2009) show that the tone measure derived from the Henry wordlist outperforms other tone measures designed for general contexts (i.e., the DICTION wordlist and the General Inquirer wordlist) in terms of the statistical and economic significance of associations between tone…”
• Managers Set the Tone: Equity Incentives and the Tone of Earnings Press Releases (2016, unknown): “Prior studies (see e.g. Demers and Vega, 2010; Henry and Leone, 2009; Loughran and McDonald, 2011) suggest that generic linguistic algorithms such as DICTION may yield noisy measures of linguistic tone in the context of financially-oriented text passages.”