Financial constraints have been found to play an important role on various aspects of firmbehavior. Yet, their effects on firm survival have been largely neglected. We use a panel of9420 newly established UK firms over the period 1997-2002 to study the effects offinancial variables on firms´...

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...

This paper develops a model of corporate investment and financing decisions thatdiffers from previous contributions by recognizing that firms face uncertainty regardingtheir future access to credit markets and may have to search for creditors when raisingdebt financing. We show that accounting...

A common method of valuing the equity in leveraged transactions is the flows-to-equity method whereby the free cash flow available to equity holders is discounted at the cost of equity. This method uses a standard definition of equity free cash flow, but the cost of equity varies over time as...

The paper investigates the determinants of trade credit and its interactions with borrowing constraints and the input combination of the firm, within an incomplete contract setting in which firms use a two-input technology and collateralised credit contracts. Assuming that the supplier is better...

This paper develops a quantitative framework for analyzing the impact of macroeconomic conditions on credit risk and dynamic capital structure choice. We begin by observing that when cash flows depend on current economic conditions, there will be a benefit for firms to adapt their default and...

This model adds to the standard neoclassical model of business fluctuations by introducing a more realistic capital structure problem, where firms have to balance the tax benefits of debt with the costs of potential financial distress. Therefore, firms solve a dynamic problem with both an...

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...

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...