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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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Modelling cross-sectional tabular data using convolutional neural networks : prediction of corporate bankruptcy in Poland
Dzik-Walczak, Aneta; Odziemczyk, Maciej - In: Central European economic journal 8 (2021) 55, pp. 352-377
The paper deals with the topic of modelling the probability of bankruptcy of Polish enterprises using convolutional neural networks. Convolutional networks take images as input, so it was thus necessary to apply the method of converting the observation vector to a matrix. Benchmarks for...
Persistent link: https://www.econbiz.de/10012799240
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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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Post-pandemic performance of micro, small and medium-sized enterprises : a self-organizing maps application
Martínez, Lisana B.; Scherger, Valeria; Orazi, Sofía - In: Cogent business & management 10 (2023) 3, pp. 1-13
This paper examines the post-pandemic performance of micro, small, and medium-sized firms using Self-Organizing Maps (SOMs), a type of Artificial Neural Network that groups patterns based on their similarities. The goal is to identify the key characteristics that enable firms to face market...
Persistent link: https://www.econbiz.de/10014505925
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Unveiling the diverse efficacy of artificial neural networks and logistic regression : a comparative analysis in predicting financial distress
Sabek, Amine - In: Croatian review of economic, business and social … 9 (2023) 1, pp. 16-32
The prediction of financial distress has emerged as a significant concern over a prolonged period spanning more than half a century. This subject has garnered considerable attention owing to the precise outcomes derived from its predictive models. The main objective of this study is to predict...
Persistent link: https://www.econbiz.de/10014372938
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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
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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