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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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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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A Neuro-Structural Framework for Bankruptcy Prediction
Charalambous, Christakis; Martzoukos, Spiros; … - 2023
We develop a framework to simultaneously compute the unobservable parameters underlying the structural-parametric models for bankruptcy prediction. More specifically, we compute the unobservable parameters such as, asset value and asset volatility, through learning by embedding in the structural...
Persistent link: https://www.econbiz.de/10014353642
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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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Forecasting Bankruptcy : An European Analysis
Arzu, Daniela - 2017
Several studies investigated the predictability of financial distress. With this paper, we analyse the ability of Integrated Rating model to anticipate potential corporate crisis. In particular, we study bankrupt companies of four European Countries (Czech Republic, Spain, Italy, France,...
Persistent link: https://www.econbiz.de/10012956057
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Forecasting Corporate Defaults in the German Stock Market
Mertens, Richard - 2016
We estimate and test several default risk models using new and unique data on corporate defaults in the German stock market. While defaults were extremely rare events in the 1990s, they have been a characteristic feature of the German stock market since the early 2000s. We apply the structural...
Persistent link: https://www.econbiz.de/10012983935
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Book-Based vs. Market-Based Indebtedness Ratios in Bankruptcy Prediction on the Polish Capital Market
Welc, Jacek - 2017
Forecasting corporate bankruptcy constitutes an integral and relevant part of financial statement analysis and business valuation. Typically the evaluation of a risk of financial default is based on some ratios, including company's indebtedness. However, there are various versions of such...
Persistent link: https://www.econbiz.de/10012944338
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EBITDA vs. Cash Flows in Bankruptcy Prediction on the Polish Capital Market
Welc, Jacek - 2017
One of the elements of company's evaluation is an analysis of bankruptcy risk metrics. In this study, the accuracy of bankruptcy predictions generated by EBITDA-based and cash flow-based liabilities-coverage ratios is evaluated within a sample of data from the Polish market. The study is based...
Persistent link: https://www.econbiz.de/10012949523
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EBITDA vs. cash flows in bankruptcy prediction on the Polish capital market
Jacek, Welc - In: European financial and accounting journal : EFAJ 12 (2017) 2, pp. 91-103
One of the elements of company’s evaluation is an analysis of bankruptcy risk metrics. In this study, the accuracy of bankruptcy predictions generated by EBITDA-based and cash flow-based liabilities-coverage ratios is evaluated within a sample of data from the Polish market. The study is based...
Persistent link: https://www.econbiz.de/10011707200
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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