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I2CREDIT Nº 5

Predicting Micro-Loan Defaults Using Probabilistic Neural Networks

Predicting Micro-Loan Defaults Using Probabilistic Neural NetworksThis is the third of three recent articles on the use of Neural Networks (NNs) in credit management. This article continues the thread of DeLurgio and Hays (2001), and Yegorova, et al (2001).

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November 11, 2002 — This study was written for the Credit Research Foundation by Stephen A. De Lurgio, Ph.D. & Fred Hays, Ph.D.

Abstract

This is the third of three recent articles on the use of Neural Networks (NNs) in credit management. This article continues the thread of DeLurgio and Hays (2001), and Yegorova, et al (2001). It illustrates the application of NNs in predicting the defaults of the SBA funded micro-loan program managed by the Growth Opportunity Connection of KC Mo. As shown here, Probabilistic Neural Networks (PNNs) are effective in predicting loan defaults when the data is insufficient for use of more traditional methods or the analyst is not knowledgeable of or capable of applying other methods. This study applies NNs in an environment of financial data scarcity and high-risk applicants. PNNs were found to be more effective then traditional statistical procedures including logit and discriminant analyses. More importantly, the methodology used to construct and validate models does not require advanced statistical analysis. The importance of cross-validation for users of NNs is clearly illustrated - one of the most important cautions for NN users. Of the initial 24 variables from micro-loan applications, only seven were needed to predict 83% of defaulting (30 out of 36) and 88% of non-defaulting (65 out of 74) loans. In contrast, a logit model accurately predicted only 47% (17 out of 36) of the default loans and 85% (63 out of 74) of the non-default loans; a discriminant model predicted 56% (20 out of 36) of the default loans and 85% (63 out of 74) of the non-defaulting loans.

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About the Credit Research Foundation

For over half a century, the Credit Research Foundation has emphasized the role of education and research activities to aid business credit, accounts receivable and customer financial managers. CRF is the foremost non-profit, member-supported, education, and research organization dedicated to the credit and financial management community. www.crfonline.org Membership in the Foundation will help you maintain the competitive edge required in today's business environment through timely publications, detailed surveys and Forums on relevant issues you face daily. Additionally, association with CRF will aid you and your company by providing the opportunity to network on a personal level with credit executives from a variety of businesses who are eager to share their experience. Our resource of leading edge information and contacts is not available from any other organization. This has proven to be a valuable attribute of membership.

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I2CREDIT Nº 5

International Snapshot - A look at today’s Credit and Collection Trends and Issues from around the Globe

International Snapshot - A look at today’s Credit and Collection Trends and Issues from around the GlobeThe world’s population may be ever-expanding, but thanks to
palm-sized cell phones, portable computers, digital cable
television, on-the-spot Internet access, e-commerce, on-line
auctions for airline tickets and an assortment of other the
technological and cultural developments, the business world seems
to be getting increasingly smaller.

Por: Anne Rosso and Pablo Salamone Collector Magazine

SE PODRAN ENDOSAR LOS CUPONES DE LAS TARJETAS DE CREDITO: nuevo instrumento de pago para los comercios argentinos

SE PODRAN ENDOSAR LOS CUPONES DE LAS TARJETAS DE CREDITO: nuevo instrumento de pago para los comercios argentinosLos comerciantes podrán cancelar las deudas que mantengan con sus proveedores con la transferencia de los cupones de sus ventas concretadas con tarjetas de crédito, según acordaron ayer la Coordinadora de Actividades Mercantiles Empresa-rias (CAME) y la Cámara de Tarjetas de Crédito y Compras (Atacyc).

Por: La Nación

EN LA PROVINCIA DE BUENOS AIRES CORTAN EL AGUA A CLIENTES MOROSOS

EN LA PROVINCIA DE BUENOS AIRES CORTAN EL AGUA A CLIENTES MOROSOSLa empresa estatal Aguas Bonaerenses (ABSA) lanzó un plan para mejorar sus ingresos que incluye el corte de servicio de agua potable a los clientes morosos y contempla una polémica recategorización de usuarios que provocó aumentos en las alícuotas que, en algunos casos, significaron subas del 400%.

Por: La Nación

VUELVE AL CONGRESO LA POTESTAD DE LANZAR MORATORIAS IMPOSITIVAS. El senado lo convirtió en Ley.

VUELVE AL CONGRESO LA POTESTAD DE LANZAR MORATORIAS IMPOSITIVAS. El senado lo convirtió en Ley.El tema surgió por primera vez en 1995, en los días del llamado "efecto tequila". En ese momento se decretó una moratoria impositiva amplia y surgió la idea de prohibir nuevas moratorias a fin de insuflar en el contribuyente la idea de que "ésta es la última".

Por: Clarin

FUERTE SUBA EN LA RECAUDACION DEL IMPUESTO A LAS GANANCIAS: cifra récord para el año 2002

FUERTE SUBA EN LA RECAUDACION DEL IMPUESTO A LAS GANANCIAS: cifra récord para el año 2002Los técnicos de la Secretaría de Hacienda no paran de festejar: aunque un grupo importante de tributaristas y empresarios presagió una "rebelión fiscal", la recaudación del impuesto a las ganancias superaría este mes los 1000 millones de pesos.

Por: La Nación

Notas Destacadas

2012
CREDIT PERFORMANCE Nº 106
CREDIT PERFORMANCE Nº 105
CREDIT PERFORMANCE Nº 104
CREDIT PERFORMANCE Nº 103
CREDIT PERFORMANCE Nº 102
2011
CREDIT PERFORMANCE Nº 101
CREDIT PERFORMANCE Nº 100
CREDIT PERFORMANCE Nº 99
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2010
CREDIT PERFORMANCE Nº 90
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2009
CREDIT PERFORMANCE Nº 79
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2008
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2007
CREDIT PERFORMANCE Nº 59
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2006
CREDIT PERFORMANCE Nº 52
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2005
CREDIT PERFORMANCE Nº 40
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CREDIT PERFORMANCE Nº 36
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2004
CREDIT PERFORMANCE Nº 28
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CREDIT PERFORMANCE Nº 18
CREDIT PERFORMANCE Nº 17
2003
CREDIT PERFORMANCE Nº 16
CREDIT PERFORMANCE Nº 15
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CREDIT PERFORMANCE Nº 11
CREDIT PERFORMANCE Nº 10
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CREDIT PERFORMANCE Nº 8
CREDIT PERFORMANCE Nº 7
CREDIT PERFORMANCE Nº 6
2002
CREDIT PERFORMANCE Nº 5
CREDIT PERFORMANCE Nº 4
CREDIT PERFORMANCE Nº 3
CREDIT PERFORMANCE Nº 2
CREDIT PERFORMANCE Nº 1

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