Measuring and Modeling the U.S. Regulatory Ecosystem-Reference-Cited by-同舟云学术

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Measuring and Modeling the U.S. Regulatory Ecosystem

Published:2017-07-13 Issue:5 Volume:168 Page:1125-1135
ISSN:0022-4715
Container-title:Journal of Statistical Physics
language:en
Short-container-title:J Stat Phys

Author:

Bommarito II Michael J^ORCID,Katz Daniel Martin

Publisher

Springer Science and Business Media LLC

Subject

Mathematical Physics,Statistical and Nonlinear Physics

Link

http://link.springer.com/article/10.1007/s10955-017-1846-3/fulltext.html

Reference36 articles.

1. Campbell, J.L., Chen, H., Dhaliwal, D.S., Lu, H.-M., Steele, L.B.: The information content of mandatory risk factor disclosures in corporate filings. Rev. Acc. Stud. 19, 396–455 (2014)

2. You, H., Zhang, X.-J.: Financial reporting complexity and investor underreaction to 10-k information. Rev. Acc. Stud. 14, 559–586 (2009)

3. Kravet, T., Muslu, V.: Textual risk disclosures and investors’ risk perceptions. Rev. Acc. Stud. 18, 1088–1122 (2013)

4. Li, F.: The information content of forward-looking statements in corporate filings-a naïve Bayesian machine learning approach. J. Acc. Res. 48, 1049–1102 (2010)

5. Nelson, K.K., Pritchard, A.C.: Carrot or stick? The shift from voluntary to mandatory disclosure of risk factors. J. Empir. Leg. Stud. 13, 266–297 (2016)

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