Bank’s major approach in her internal rating system is credit scoring valuation which focused on corporates’ idiosyncratic risks and based on their financial indexes. Hence, an influence on corporates’ credit risks by business variation is not considered in her system. We model the effect...

This paper points out the problems of liquidity, disposal and obtaining funds, inability to collect receivables, delayed payments in times of economic and financial instability and dynamic business upheavals and uncertainty. As a contribution to resolve these issues new alternative methods of...

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 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...