Similar Search Results

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

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

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

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

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