We estimate the costs of financial distress prior to default (pre-default costs) separately from the loss incurred at default (the loss given default) using a dynamic trade-off model of capital structure. We document that pre-default costs are on average equal to 6.5% of firm value per year. We...

[enter Abstract Body]We use a sample of randomly selected CRSP-listed firms to explore the cross-sectional determinants of corporate board size. We find that the average number of directors on boards differs significantly across industries. Further evidence indicates that these differences are...

We study the impact of PE firm and buyout characteristics on default probability employing a Cox proportional hazards model to a global sample of 5,093 buyouts between 1997 and 2012. Our results indicate that investments of generalists have lower default probability than those of specialists....

We show in a theoretical model that credit default swaps induce managerial agency problems through two channels: reducing the opportunity for managers to transfer value to equityholders from creditors via strategic default, and reducing the intensity of monitoring by creditors, which leads to...

We build a simple dynamic structural model of the firm, with state variable being earnings. It can address general empirical levels of investment, dividends, equity issuance in distress, leverage, debt duration, and liquidation/bankruptcy. Firms with very low leverage carry a substantial...

This article presents a financial scoring model estimated on Czech corporate accounting data. Seven financial indicators capable of explaining business failure at a 1-year prediction horizon are identified. Using the model estimated in this way, an aggregate indicator of the creditworthiness of...

Banks entering an emerging market face a lot of uncertainty about the risks involved in lending. We use a unique unbalanced panel of nearly 700 short-term loans made to SMEs in Slovakia between January 2000 and June 2005. Of the loans granted, on average 6.0 per cent of the firms defaulted....

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...

This paper analyzes loan pricing when there is multiple banking and borrower distress. Using a unique data set on SME lending collected from major German banks, we can instrument for effective coordination between lenders, carrying out a panel estimation. The analysis allows to distinguish...

Russian banks have been strongly influenced by the worldwide financial crisis which started in the second half of 2008. This was caused by a combination of domestic, regional and international factors. We estimate an early warning model for the Russian crisis. We identified 47 Russian banks...