This article presents structural asset pricing model with stochastic interest rate and default barrier based on the evolution of the firm' Earning Before Interest and Taxes (EBIT). This framework is further enhanced by the game theory analysis which examines the negotiation between shareholders...

Through this paper the author discusses the phenomenon of excessive Government borrowing and the factors that lead Governments to be so dependent on financial markets. It is argued that the combined effect of unregulated financial intermediaries, hedge funds and Credit Rating Agencies in...

Banks hold liquid and illiquid assets. An illiquid bank that receives a liquidity shock sells assets to liquid banks in exchange for cash. We characterize the constrained efficient allocation as the solution to a planner's problem and show that the market equilibrium is constrained inefficient,...

In credit default prediction models, the need to deal with time-varying covariates often arises. For instance, in the context of corporate default prediction a typical approach is to estimate a hazard model by regressing the hazard rate on time-varying covariates like balance sheet or stock...

We build a dynamic capital structure model to study the link between systematic risk exposure and debt maturity, as well as their joint impact on the term structure of credit spreads. Our model allows for time variation and lumpiness in the maturity structure. Relative to short-term debt,...

This study provides new stylized facts on the determinants of corporate failure and acquisition in Germany. It also offers important lessons for the design of empirical studies. We show that firms experiencing failure or acquisition are significantly different from surviving firms on a number of...

This paper examines how consumers react to the financial distress of durable goods manufacturers by looking at the Swedish new car market. We employ a difference-in-differences matching methodology whereby we compare sales of carmaker Saab with those of a carefully constructed control group of...

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...

This paper is the first to examine the determinants of acquisitions for the U.S. thrift industry during a period of market liberalization and widespread takeover activity, 1994 to 2000.(...)