Abstract

http://ssrn.com/abstract=1762583
 
 

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Fraud Cycles


Jiong Gong


University of International Business and Economics

R. Preston McAfee


Yahoo! Research Labs

Michael A. Williams


Competition Economics LLC

February 14, 2014


Abstract:     
Fraud is an ancient crime and one that annually causes hundreds of billions of dollars in losses. We develop an evolutionary theory that suggests cyclical behavior in frauds should be common. We perform a wavelet analysis of the frequencies of fraudulent and non-fraudulent offenses. Our results demonstrate that the frequencies of fraudulent offenses exhibit cyclical behavior that differs markedly from the cyclical behavior of non-fraudulent offenses.

Number of Pages in PDF File: 38

Keywords: fraud, cycle, steady state, wavelet

JEL Classification: G38, L2, M49

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Date posted: February 19, 2011 ; Last revised: February 15, 2014

Suggested Citation

Gong, Jiong and McAfee, R. Preston and Williams, Michael A., Fraud Cycles (February 14, 2014). Available at SSRN: http://ssrn.com/abstract=1762583 or http://dx.doi.org/10.2139/ssrn.1762583

Contact Information

Jiong Gong (Contact Author)
University of International Business and Economics ( email )
10, Huixin Dongjie
Changyang District
Beijing, Beijing 100029
China
Randolph Preston McAfee
Yahoo! Research Labs ( email )
Pasadena, CA 91103
United States
Michael A. Williams
Competition Economics LLC ( email )
2000 Powell Street
Suite 510
Emeryville, CA 94608
United States
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