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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

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

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

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

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

Empty creditors and strong shareholders : the real effects of credit risk trading ; third draft

Colonnello, Stefano; Efing, Matthias; Zucchi, Francesca - 2016 - This draft: October 16, 2016

Credit derivatives give creditors the possibility to transfer debt cash flow rights to other market participants while retaining control rights. We use the market for credit default swaps (CDSs) as a laboratory to show that the real effects of such debt unbundling crucially hinge on shareholder...

Persistent link: https://www.econbiz.de/10011547110

Corporate failure and the business cycle : measuring systematic risk

Ogneva, Maria; Piotroski, Joseph D.; Zakolyukina, … - 2016

In this paper, we use accounting fundamentals to measure systematic risk of distress. Our main testable prediction—that this risk increases with the probability of recessionary failure, P(R|F)—is based on a stylized model that guides our empirical analyses. We first apply the lasso method to...

Persistent link: https://www.econbiz.de/10011524470

A unified model of distress risk puzzles

Chen, Zhiyao; Hackbarth, Dirk; Strebulaev, Ilya A. - 2019

We build a dynamic model to link two empirical patterns:\ the negative failure probability-return relation (Campbell, Hilscher, and Szilagyi, 2008) and the positive distress risk premium-return relation (Friewald, Wagner, and Zechner, 2014). We show analytically and quantitatively that (i)...

Persistent link: https://www.econbiz.de/10012065129

Asymmetric information, dynamic debt issuance, and the term structure of credit spreads

Benzoni, Luca; Garlappi, Lorenzo; Goldstein, Robert S. - 2019

We propose a tractable model of a firm's dynamic debt and equity issuance policies in the presence of asymmetric information. Because "investment-grade" firms can access debt markets, managers who observe a bad private signal can both conceal this information and shield shareholders from...

Persistent link: https://www.econbiz.de/10012102903

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