Analyst Information Discovery and Interpretation Roles: A Topic Modeling Approach-Reference-Cited by-同舟云学术

Analyst Information Discovery and Interpretation Roles: A Topic Modeling Approach

Published:2018-06 Issue:6 Volume:64 Page:2833-2855
ISSN:0025-1909
Container-title:Management Science
language:en
Short-container-title:Management Science

Author:

Huang Allen H.¹,Lehavy Reuven²^ORCID,Zang Amy Y.¹,Zheng Rong³

Affiliation:

1. Department of Accounting, Hong Kong University of Science and Technology, Kowloon, Hong Kong

2. Ross School of Business, University of Michigan, Ann Arbor, Michigan 48109

3. Department of Information Systems, Business Statistics, and Operations Management, Hong Kong University of Science and Technology, Kowloon, Hong Kong

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Management Science and Operations Research,Strategy and Management

Link

https://pubsonline.informs.org/doi/pdf/10.1287/mnsc.2017.2751

Reference64 articles.

1. Topic models: A novel method for modeling couple and family text data.

2. Ball C, Hoberg G, Maksimovic V (2015) Disclosure, business change and earnings quality. Working paper, University of Maryland, College Park.

3. Simultaneously Discovering and Quantifying Risk Types from Textual Risk Disclosures

4. The financial reporting environment: Review of the recent literature

5. What's My Line? A Comparison of Industry Classification Schemes for Capital Market Research

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