La presente investigación aborda los resultados financieros del año 2017 de 1.900 empresas de una ciudad capital de América Latina, con los que se calculan los indicadores financieros de estructura de capital y margen de utilidad neta. Se plantea como objetivo central determinar si existe o...

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...

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...

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...

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...

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...

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 moving...

This paper investigates the determinants of liability maturity choice in transition markets. We formulate a model of firm value maximization that describes managers' choice of optimal debt structure. The theoretical predictions are tested using a unique panel of 4,300 Ukrainian firms during the...

Accurate credit-granting decisions are crucial to the efficiency of the decentralized capital allocation mechanisms in modern market economies. Credit bureaus and many financial institutions have developed and used credit-scoring models to standardize and automate, to the extent possible, credit...

An important theoretical literature motivates collateral as a mechanism that mitigates adverse selection, credit rationing, and other inefficiencies that arise when borrowers hold ex ante private information. There is no clear empirical evidence regarding the central implication of this...