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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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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
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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
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Determinants of acquisition and failure : stylized facts and lessons for empirical studies
Köke, F. Jens - 2001
This study provides new stylized facts on the determinants of corporate failure and acquisition in Germany. It also offers important lessons for the design of empirical studies. We show that firms experiencing failure or acquisition are significantly different from surviving firms on a number of...
Persistent link: https://www.econbiz.de/10011446202
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Business closure and financial loss : who foots the bill? ; evidence from German small business closures
Metzger, Georg - 2010
This paper explores how different reasons for business closure impact the probability that financial loss will be suffered by creditors. Using German small business data, the study finds that business closure due to financial problems is strongly correlated with a likelihood of financial loss....
Persistent link: https://www.econbiz.de/10003961536
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Moving in and out of financial distress : evidence for newly founded service sector firms
Kaiser, Ulrich - 2001
The determinants of transitions between different states of financial distress are analyzed using two versions of Markov chain models: a multinomial logit model without random effects and a multinomial logit model capturing such unobservable factors. The empirical analysis is based on a panel...
Persistent link: https://www.econbiz.de/10011445915
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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