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Insolvenzprognose für ukrainische, deutsche sowie nordamerikanische Unternehmen

Perederiy, Volodymyr - 2010

Das vorliegende Dissertationsprojekt hatte zwei zentrale Schwerpunkte. Den ersten Schwerpunkt bildete die innovative Insolvenzprognosemodellierung für ukrainische Unternehmen.Dafür wurde im Wesentlichen die moderne internationale Standardmethodik zur Insolvenzprognose auf Basis der...

Persistent link: https://www.econbiz.de/10009460748

AN ANALYSIS OF MISCLASSIFICATION RATES FOR DECISION TREES

Zhong, Mingyu - 2007

optimal tree prediction, the estimated risk of the tree's prediction, and the reliability of the tree's risk estimation. We … carry out an extensive analysis of the application of Lidstone's law of succession for the estimation of the class …-norm estimation for the tree's misclassification rate that combines both the expected value and the reliability. Furthermore, our …

Persistent link: https://www.econbiz.de/10009431076

Machine learning in credit risk: measuring the dilemma between prediction and supervisory cost

Alonso, Andrés; Carbó, José Manuel - 2020

Informes recientes muestran la creciente adopción en el sector financiero de técnicas de aprendizaje automático o machine learning (ML) en la gestión del riesgo de crédito. En este entorno, los supervisores se encuentran ante el reto de permitir que se maximicen las oportunidades derivadas...

Persistent link: https://www.econbiz.de/10012525231

Artificial intelligence in financial services

Fernández Bedoya, Ana

Artículo de revista ; The use of artificial intelligence tools has escalated recently in all sectors of the economy owing, among other factors, to the growing volume of digital data and higher computational capacity. Major benefits may be reaped from applying these tools to the provision of...

Persistent link: https://www.econbiz.de/10012532407

Accuracy of explanations of machine learning models for credit decisions

Alonso, Andrés; Carbó Martinez, José Manuel

Uno de los principales retos en el uso de modelos de aprendizaje automático, o machine learning en inglés (ML), en finanzas es cómo explicar sus resultados. Recientemente han aparecido técnicas de interpretabilidad con este objetivo, pero existe discusión sobre su fiabilidad. En este...

Persistent link: https://www.econbiz.de/10013267753

Inteligencia artificial y finanzas: una alianza estratégica

Alonso, Andrés; Carbó Martinez, José Manuel

Recientes avances tecnológicos, como el almacenamiento masivo de datos y la computación en la nube, están dando lugar a un mayor uso de la inteligencia artificial en la economía y las finanzas, y modificando aspectos fundamentales tanto para entidades como para supervisores. En este...

Persistent link: https://www.econbiz.de/10013414504

Nonlinearities in the Phillips Curve? : empirical Evidence for some European Countries

Rupprecht, Sarah - 2005

This dissertation studies the question of nonlinearities in the Phillips curve relationshipin France, Germany and Italy. The implications from the theoretical models are that themechanisms that make the Phillips curve nonlinear can work through different channels.Therefore, this thesis not just...

Persistent link: https://www.econbiz.de/10009471618

Demographic and economic trends in medical schemes--a time series analysis [Demografiese en ekonomiese tendense vir mediese skemas--'n tydreeksanalise.]

Hartshorne J.E.; Carstens I.L. - 1991

A time series analysis was performed on medical scheme statistics with the aim of determining current and future demographic and economic trends. This would enable one to reach a better perspective on the current and future financial dilemma presently experienced by medical schemes. Data for the...

Persistent link: https://www.econbiz.de/10009480497

Inflation and Economic Growth: A Cross-Country Non-linear Analysis

Pollin, Robert; Zhu, Andong - 2005

This paper presents new non-linear regression estimates of the relationship between inflation and economic growth for … inflation is associated with moderate gains in GDP growth up to a roughly 15 – 18 percent inflation threshold. However, the … at all with either the inflation coefficient or our estimated turning point. With the middle income countries, we return …

Persistent link: https://www.econbiz.de/10009467896

Adaptive weighting for flexible estimation in nonparametric regression models.

Nosedal-Sanchez, Alvaro - 2011

We propose a new method to find spatially adaptive smoothing splines. This new method breaks down the interval [0, 1] into p disjoint sub-intervals. Then we define p functional components in [0, 1], which have two importantfeatures. First, the purpose of each of these p components is to estimate...

Persistent link: https://www.econbiz.de/10009429662