Pulina, Manuela and Paba, Antonello (2010): A discrete choice approach to model credit card fraud.
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This paper analyses the demographic, socio-economics and banking specific determinants that influence the risk of fraud in a portfolio of credit cards. The data are from recent account archives for cards issued throughout Italy. A logit framework is employed that incorporates cards at a risk of fraud as the dependent variable and a set of explanatory variables (e.g. gender, location, credit line, number of transactions in euros and in non euros currency). The empirical results provide useful indicators on the factors that are responsible for potential risk of fraud.
|Item Type:||MPRA Paper|
|Original Title:||A discrete choice approach to model credit card fraud|
|Keywords:||credit card; fraud; demographic and socio-economics factors; logit modelling.|
|Subjects:||D - Microeconomics > D1 - Household Behavior and Family Economics > D12 - Consumer Economics: Empirical Analysis
C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models; Multiple Variables > C35 - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
G - Financial Economics > G2 - Financial Institutions and Services > G21 - Banks; Depository Institutions; Micro Finance Institutions; Mortgages
|Depositing User:||manuela pulina|
|Date Deposited:||15. Jan 2010 15:20|
|Last Modified:||11. Feb 2013 17:54|
Abbey, R. (2009), `Perché in tempi di recessione aumentano i casi di frode? ` Global Fraud Report, Kroll, 8(4): 2.
Affari & finanza, (2009), `Clonazioni, truffe e furti d'identità: furbi in agguato `, available online at http://guide-finanza.repubblica.it/carte-di-credito/893001/893046/rep (downloaded 18 June 2009).
APACS, (2009), `2008 fraud figures announced by APACS`, available online at http://www.apacs.org.uk/09_03_19.htm (downloaded 25 August 2009).
Association for Payment Clearing Services, (2009), `Fraud the facts`, available online at http://www.apacs.org.uk/resources_publications/documents/FraudtheFacts2009.pdf (downloaded 25 August 2009).
Ardiç, O. P. and Yüzereroğlu, U. (2006), `A multinomial logit model of bank choice: an application to Turkey `, Research paper, ISS/EC-2006-02, Boğariçi University Department of Economic Research Papers, 1--23.
Artís, M., Ayuso, M. and Guillén, M. (1999), `Modelling Different Types of Automobile Insurance Fraud Behaviour in the Spanish Market `, Insurance: Mathematics and Economics, 24(1-2): 67--81.
Assofin-Crif-Eurisko, (2008), `Osservatorio sulle carte di credito `, Numero 6 – September. Milano.
Barker, K. J., D'Amato, J., and Sheridon, P. (2008), `Credit card fraud: awareness and prevention `, Journal of Financial Crime, 15(4): 398--410.
Beasley, M. S. (1996), `An Empirical Analysis of the Relation between the Board of Director Composition and Financial Statement Fraud`, The Accounting Review, 71(4) 443--465.
Bolton, R. J. and Hand D. J. (2002), `Statistical fraud detection: a review`, Statistical Science, 17(3): 235--255.
Boyer, M. M. (2007), `Resistance (to fraud) is futile`, Journal of Risk and Insurance, 74 (2): 461--492.
Burns, P. and Stanley, A. (2002), `Fraud management in the credit card industry`, Discussion paper, Payment Cards Center, April, Federal Reserve Bank of Filadelphia, 1--16.
Caudill, S., Ayuso, B. and Guillén, M. (1999), `Fraud detection using a multinomial logit model with missing information`, Journal of Risk and Insurance, 72(4): 539--550.
Clarke, M. (1989), `Insurance Fraud`, British journal of Criminology, 29: 1--20.
Crook, J. and Banasik, J. (2004), `Does reject inference really improve the performance of application scoring models? `, Journal of Banking & Finance, 28(4): 857—874.
Crutchley, C. E., Jensen, M. R. H., Beverly, B. and Marshall, B.B. (2007), `Climate for Scandal: Corporate Environments that Contribute to Accounting Fraud `, Financial Review, 42(1): 53—73.
Decreto, (2007), `Istituzione di un sistema di prevenzione delle frodi sulle carte di pagamento`, 30 aprile, n° 112.
Desai, V. C., Crook, J. N., Overstreet, J. G. A. (1996), `A comparison of neural networks and linear scoring models in the credit union environment`, European Journal of Operational Research, 95(1): 24--37.
Dionne, G. (1984), `The Effect of Insurance on the Possibilities of Fraud`, Geneva Papers on Risk and Insurance-Issues and Practice, 9: 304--321.
Wells, J. T. (2007), Encyclopedia of fraud, Association of Certified Fraud Examiners, inc., Texas.
Epaynews.com, (2009), `Fraud figures reveal some interesting gender patterns`, available online at http://www.epaynews.com/item.php?news_id=6474 (downloaded 10 September 2009).
Feldman, R. (2001), `An Economic Explanation for Fraud and Abuse in Public Medical Care Programs`, Journal of Legal Studies, 30(2): 569--577.
Gerety, M. and Lehn, K. (1997), `The Causes and Consequences of Accounting Fraud`, Managerial and Decision Economics, 18(7/8): 587--599.
Greene, W. (2003), Econometric analysis. Prentice Hall, Upper Saddle River: New Jersey.
Greene, W. H. (1998), `Sample selection in credit-scoring models`, Japan and the World Economy, 10: 299--316.
Hartmann-Wendels, T., Mählmann, T. and Versen, T. (2009), `Determinants of banks’ risk exposure to new account fraud – Evidence from Germany`, Journal of Banking & Finance, 33: 347--357.
Kageyama, J. M. (2009), `Nuovi rischi di frode per le aziende giapponesi: una lezione per tutti`, Global Fraud Report, Kroll, 8(4): 3.
Masuda, B. (1993), Credit card fraud prevention. A successful retail strategy in crime prevention studies. Volume 1. Edited by R.V. Clarke.
Pontell, H. N. and Geis, G. (1982), `Policing Physicians: Practioner Fraud and Abuse in a Governament Medical Program`, Social Problems, 30(1): 117--125.
Quah, J. T. S. and Sriganesh, M. (2008), `Real-time credit card fraud detection using computational intelligence`, Expert systems with applications, 35: 1721--1732.
Rai, A. K. (2001), `Health Care Fraud and Abuse: A Tale of Behaviour Induced by Payment Structure `, Legal Studies, 30(2): 579--587.
Sadka, G. (2006), `The Economic Consequences of Accounting Fraud in Product Markets: Theory and a Case from the U.S. Telecommunications Industry (WorldCom)`, American Law and Economics Review, 8(3): 439--475.
Thomas, L. C. (2000), `A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers`, International Journal of Forecasting, 16(2): 149--172.
Thomas, L. C., Oliver, R. W. and Hand, D. J. (2005), `A survey of the issues in consumer credit modelling research`, Journal of Operational Research Society, 56: 1006--1015.
Williams, D. A. (2007), `Credit card fraud in Trinidad and Tobago`, Journal of financial crime, 14 (3): 340—359.
VISA, (2003), Marketing. History of card products and acquiring. Visa International Service Association: 2.4-2.6.