Forward-Looking MD&A Disclosures and the Information Environment

By Volkan Muslu, Suresh Radhakrishnan, K. Subramanyam, D. Lim. Management Sciences, 2015

337 citations recorded by the source corpus.

Subfields: Accounting, Finance, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/3c79b5e926236b38823008fd1ab517b8235e9cdb

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. Jeong‐Bon Kim
2. Zheng Wang
3. Tzu-Ting Chiu
4. Sunhwa Choi
5. Sudheer Chava
6. Khrystyna Bochkay
7. Sunay Mutlu
8. Andrew Van Buskirk

In Finance

1. Jeong‐Bon Kim
2. Zheng Wang
3. Tzu-Ting Chiu
4. Sunhwa Choi
5. Sunay Mutlu
6. Andrew Van Buskirk
7. Khrystyna Bochkay
8. Suresh Radhakrishnan

In Strategy and Management

1. Albert H. C. Tsang
2. Sunay Mutlu
3. Andrew Van Buskirk
4. Sunhwa Choi
5. Suresh Radhakrishnan
6. Volkan Muslu
7. Jeong‐Bon Kim
8. Sudheer Chava

Citations in the corpus

• Hyperbole or Reality? Investor Response to Extreme Language in Earnings Conference Calls (2019, background): “For instance, Price et al. (2012) measure the tone of earnings conference calls and find that it is significantly associated with market reactions to such events.”
• Are CSR disclosures relevant for investors? Empirical evidence from Germany (2016, neutral): “Recent literature (e.g. Athanasakou and Hussainey, 2014; Campbell et al. , 2014; Muslu et al. , 2014) has started to investigate the information content of narrative disclosures in the annual report.”
• Corporate Social Responsibility Report Narratives and Analyst Forecast Accuracy (2017, methodology): “Muslu et al. (2015) find that short-horizon MD&A disclosures help investors incorporate information on future performance into stock prices.”
• Management Earnings Forecasts and Other Forward-Looking Statements (2017, positive): “Li (2010) and Muslu et al. (2014), both of which use textual analysis to identify and study forward-looking disclosures in annual report MD&As, are most relevant to our study.”
• Managerial Ability and Income Smoothing (2019, positive): “Additionally, we re-run the stock price informativeness test using a 30-day earnings announcement period and a 30-day non-earnings announcement period, similar to Muslu, Radhakrishnan, Subramanyam, and Lim (2015).”
• Customers’ Risk Factor Disclosures and Suppliers’ Investment Efficiency (2019, methodology): “CRISKFt: CFL_WORDS The natural logarithm of the weighted average of the number of forwardlooking keywords contained in the risk factor section of the customers’ 10-Ks, where the forward-looking keywords are defined as per Li (2010) and Muslu et al. (2015).”