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Ein Vergleich des binären Logit-Modells mit künstlichen neuronalen Netzen zur Insolvenzprognose anhand relativer Bilanzkennzahlen
Franken, Ronald (contributor) - 2007
Die Prognose der Insolvenzgefährdung von Unternehmen anhand statistischer Methodik war und ist eine bedeutende Aufgabe … die sog. externe Bilanzanalyse anhand verschiedener relativer Kennzahlen(-systeme) dar, welche aus den veröffentlichten … Jahresabschlüssen von Kapitalgesellschaften abgeleitet werden können. In der aktuellen Praxis der empirischen Insolvenz- und …
Persistent link: https://www.econbiz.de/10003634014
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Kombinierte Liquiditäts- und Solvenzkennzahlen und ein darauf basierendes Insolvenzprognosemodell für deutsche GmbHs
Perederiy, Volodymyr (contributor) - 2007
. -- Logistische Regression ; Varablenauswahl ; Insolvenzprognose ; Bilanzanalyse ; bilanzielle Kennzahl ; Liquidität ; Solvenz …
Persistent link: https://www.econbiz.de/10003635001
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Estimating probabilities of default with support vector machines
Härdle, Wolfgang (contributor); Moro, Rouslan (contributor) - 2007
This paper proposes a rating methodology that is based on a non-linear classification method, the support vector machine, and a non-parametric technique for mapping rating scores into probabilities of default. We give an introduction to underlying statistical models and represent the results of...
Persistent link: https://www.econbiz.de/10003633940
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Graphical data representation in bankruptcy analysis
Härdle, Wolfgang (contributor);  … - 2006
Graphical data representation is an important tool for model selection in bankruptcy analysis since the problem is highly non-linear and its numerical representation is much less transparent. In classical rating models a convenient representation of ratings in a closed form is possible reducing...
Persistent link: https://www.econbiz.de/10003324316
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Estimation of default probabilities with Support Vector Machines
Chen, Shiyi (contributor); Härdle, Wolfgang (contributor);  … - 2006
Predicting default probabilities is important for firms and banks to operate successfully and to estimate their specific risks. There are many reasons to use nonlinear techniques for predicting bankruptcy from financial ratios. Here we propose the so called Support Vector Machine (SVM) to...
Persistent link: https://www.econbiz.de/10003402291
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Localising forward intensities for multiperiod corporate default
Prastyo, Dedy Dwi; Härdle, Wolfgang - 2014
Using a local adaptive Forward Intensities Approach (FIA) we investigate multiperiod corporate defaults and other delisting schemes. The proposed approach is fully datadriven and is based on local adaptive estimation and the selection of optimal estimation windows. Time-dependent model...
Persistent link: https://www.econbiz.de/10010403045
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Default risk calculation based on predictor selection for the Southeast Asian industry
Härdle, Wolfgang; Prastyo, Dedy Dwi - 2013
Probability of default prediction is one of the important tasks of rating agencies as well as of banks and other financial companies to measure the default risk of their counterparties. Knowing predictors that significantly contribute to default prediction provides a better insight into...
Persistent link: https://www.econbiz.de/10009779289
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Penalties and optimality in financial contracts : taking stock
Robe, Michel A. (contributor);  … - 2006
A popular view of limited liability in financial contracting is that it is the result of societal preferences agnainst excessive penalties. the view of most financial economists is instead that limited liability emerged as an optimal institution when, in the absence of a clear limit on economic...
Persistent link: https://www.econbiz.de/10003324303
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Stochastic mortality, macroeconomic risks, and life insurer solvency
Hanewald, Katja; Post, Thomas; Gründl, Helmut - 2009
stochastic process. Our results show that insolvency probabilities are significantly higher when the reaction of mortality rates …
Persistent link: https://www.econbiz.de/10003814526
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The default risk of firms examined with smooth support vector machines
Härdle, Wolfgang; Lee, Yuh-Jye; Schäfer, Dorothea; … - 2008
decision task of loan officers. -- Insolvency Prognosis ; SVMs ; Statistical Learning Theory ; Non-parametric Classification …
Persistent link: https://www.econbiz.de/10003636001