Analyst Information Discovery and Interpretation Roles: A Topic Modeling Approach
By Allen H. Huang, Reuven Lehavy, Amy Y. Zang, Rong Zheng. Management Sciences, 2018
461 citations recorded by the source corpus.
Allen H. Huang,a Reuven Lehavy,b Amy Y. Zang,a Rong Zhengc aDepartment of Accounting, Hong Kong University of Science and Technology, Kowloon, Hong Kong; bRoss School of Business, University of Michigan, Ann Arbor, Michigan 48109; cDepartment of Information Systems, Business Statistics, and Operations Management, Hong Kong University of Science and Technology, Kowloon, Hong Kong Contact: allen.huang@ust.hk (AHH); rlehavy@umich.edu, http://orcid.org/0000-0003-3875-8848 (RL); amy.zang@ust.hk (AYZ); rzheng@ust.hk (RZ)
Subfields: Accounting, Management Information Systems, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/a98ca144a2afa4f36ea643120d0566e7064c5dea
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Citations in the corpus
- Firm-level Climate Change Exposure (2020, background): “Furthermore, earnings calls are largely forward-looking; while analysts review past results, they also spend much of their time probing management about future plans (Huang et al., 2018).”
- Natural language processing (NLP) in management research: A literature review (2020, background): “…information intermediary roles have confirmed and clarified company filings (e.g., conference calls), driving investors to place a greater value on new information in analyst reports when managers face greater incentives to withhold value-relevant information (Huang, Lehavy, Zang, & Zheng, 2018).”
- Aggregate and Idiosyncratic Political Risk: Measurement and Effects (2016, unknown): “For example, Huang et al. (2016) document that conference call participants focus their discussion mostly on issues of firm performance, valuation, and financial outlook.”