Abstract

http://ssrn.com/abstract=561425
 
 

References (41)



 
 

Citations (8)



 


 



Corporate Securities Fraud: Insights from a New Empirical Framework


Tracy Yue Wang


University of Minnesota - Twin Cities - Carlson School of Management

November 1, 2010

Journal of Law, Economics, and Organization, Forthcoming

Abstract:     
Empirical analysis of corporate fraud faces a challenge because the commission of fraud is not directly observable. We observe only detected frauds. In this paper I introduce a new empirical model to address this partial observability of fraud. The new model generates new insights about not only the determinants of fraud commission and fraud detection, but also the interaction between the two latent processes. I also show that the empirical models used in the existing literature can lead to incorrect assessment of corporate or public policies designed to combat fraud.

Number of Pages in PDF File: 43

Keywords: securities fraud, fraud detection

JEL Classification: G30

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Date posted: July 6, 2004 ; Last revised: April 2, 2011

Suggested Citation

Wang, Tracy Yue, Corporate Securities Fraud: Insights from a New Empirical Framework (November 1, 2010). Journal of Law, Economics, and Organization, Forthcoming. Available at SSRN: http://ssrn.com/abstract=561425

Contact Information

Tracy Yue Wang (Contact Author)
University of Minnesota - Twin Cities - Carlson School of Management ( email )
19th Avenue South
Minneapolis, MN 55455
United States
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