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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

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

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

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

Learning machines supporting bankruptcy prediction

Härdle, Wolfgang; Moro, Rouslan; Hoffmann, Linda - 2010

In many economic applications it is desirable to make future predictions about the financial status of a company. The focus of predictions is mainly if a company will default or not. A support vector machine (SVM) is one learning method which uses historical data to establish a classification...

Persistent link: https://www.econbiz.de/10003973650

Forecasting corporate distress in the Asian and Pacific region

Moro, Russ; Härdle, Wolfgang; Aliakbari, Saeideh; … - 2011

This study analyses credit default risk for firms in the Asian and Pacific region by applying two methodologies: a Support Vector Machine (SVM) and a logistic regression (Logit). Among different financial ratios suggested as predictors of default, leverage ratios and the company size display a...

Persistent link: https://www.econbiz.de/10009125559

Development of a financial health indicator based on companies' annual accounts

Vivet, David - 2011

This document describes the development of a financial health indicator based on companies' financial statements. This indicator is conceived as a weighted combination of variables, which is obtained through a model discriminating between failing firms and non-failing firms. The definition of...

Persistent link: https://www.econbiz.de/10011596313

The prediction of corporate bankruptcy and Czech economy's financial stability through logit analysis

Jakubík, Petr (contributor); Teplý, Petr (contributor) - 2008

This article presents a financial scoring model estimated on Czech corporate accounting data. Seven financial indicators capable of explaining business failure at a 1-year prediction horizon are identified. Using the model estimated in this way, an aggregate indicator of the creditworthiness of...

Persistent link: https://www.econbiz.de/10003755238

The distress premium puzzle

Ozdagli, Ali - 2010

Fama and French (1992) suggest that the positive value premium results from risk of financial distress. However, recent empirical research has found that financially distressed firms have lower stock returns, using empirical estimates of default probabilities. This paper reconciles the positive...

Persistent link: https://www.econbiz.de/10008778727

A dialogue on the costs and benefits of automatic stays for derivatives and repurchase agreements

Duffie, Darrell; Skeel, David - 2012 - Last rev.: March 04, 2012

For nearly two years, the two of us have had a running discussion of the costs and benefits of automatic stays in bankruptcy for qualified financial contracts (QFCs) such as derivatives and repurchase agreements, particularly those held by systemically important major dealer banks. Under current...

Persistent link: https://www.econbiz.de/10009504439

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