A firm’s current leverage ratio is one of the core characteristicsof credit quality used in statistical default prediction models. Based on thecapital structure literature, which shows that leverage is mean-reverting to atarget leverage, we forecast future leverage ratios and include them in...

In recent years, support vector regression (SVR), a novel neural network (NN) technique, has been successfully used for financial forecasting. This paper deals with the application of SVR in volatility forecasting. Based on a recurrent SVR, a GARCH method is proposed and is compared with a...

We perform an experiment where subjects pay for the right to participate in a shareholder vote. We find that experimental subjects are willing to pay a significant premium for the voting right even though there should be no such premium in our setup under full rationality. Private benefits from...

Eine große Herausforderung der multivariablen Analyse mit bilanziellen Kennzahlen besteht in der Identifikation derjenigen Kennzahlen, die zur besten Modellperformance führen und dabei möglichst leicht interpretierbar und intuitiv bleiben. Die Menge der in Frage kommenden Kennzahlen ist in...

A stronger long-term orientation is considered a competitive advantage of family firms relative to non-family firms. In this study, we use panel data of U.S. firms and analyze this proposition. Our findings are surprising. Only in when the family is involved in the management of the firm is the...

Reduziert eine IFRS-Umstellung die Informationsdefizite der Fremdkapitalgeber und somit auch die Risikoprämie von Unternehmensanleihen? Entgegen bisherigen empirischen Untersuchungen betrachten wir den Zusammenhang zwischen Offenlegung und Kapitalkosten für Fremdfinanzierung. Folglich...

Die Prognose der Insolvenzgefährdung von Unternehmen anhand statistischer Methodik war und ist eine bedeutende Aufgabe empirischer Forschung. Eine Möglichkeit der Beurteilung der finanziellen bzw. wirtschaftlichen Verfassung von Unternehmen stellt die sog. externe Bilanzanalyse anhand...

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...

The trade-off theory on capital structure is tested by modelling the capital structure target asthe solution to a maximization problem. This solution maps asset volatility and loss givendefault to optimal leverage. By applying nonlinear structural equation modelling, theseunobservable variables...

Motivated by a recent demographic study establishing a link betweenmacroeconomic fluctuations and the mortality index kt in the Lee-Cartermodel, we assess the impact of macroeconomic fluctuations on the solvencyof a life insurance company. Liabilities in our stochastic simulationframework are...