Purpose – The purpose of this paper is to discuss important aspects concerned with credit risk measurement of SMEs.Methodology - Paper presents theoretical study, based on literature review and summary of findings of similar research papers, which have focused on credit risk assessment of...

We consider the debt capacity of a risky asset when debt is being rolled over and there is a liquidation cost in case of default. We show that debt capacity depends on how information about the quality of the asset is revealed. When the information structure is based on “optimistic”...

In the present document it is exposed in an abstract way the models of credit portfolioes CreditMetricsTM, KMV, CreditRisk+, Credit Portfolio View in such a way that they could be calibrated and implemented in financial institutions where the quality and quantity of credit information is scanty,...

Securitisation is growing at a moderate pace in France. With total outstanding securitised assets of EUR 215 billion at mid-2013, France ranks fifth in the euro area. The majority of securitised assets are loans to French residents. Securitisation has facilitated banks’ access to Eurosystem...

Credit risk measurement and management become more important in all financial institutions in the light of the current financial crisis and the global recession. This particularly applies to most of the complex structured financing forms whose risk cannot be quantified with com-mon rating...

We present a stochastic simulation forecasting model for stress testing that is aimed at assessing banks’ capital adequacy, financial fragility, and probability of default. The paper provides a theoretical presentation of the methodology and the essential features of the forecasting model on...

Financial networks are an important source of systemic risk, but often only partial network information is available. In this paper, we use data on bank-firm credit relationships in Japan and conduct a horse race between different network reconstruction methods in terms of their ability to...

The aim of this study is to conduct macro stress test of credit risk for the Turkish Banking Industry based on scenario analysis. In this study vector auto regression model is used to determine the interrelations between the macroeconomic variables and develop consistent scenarios spread to two...

We present a macro variable-based empirical model for corporate bank loans’ credit risk. The model captures the well-known positive relationship between probability of default (PD) and loss given default (LGD; i.e., the inverse of recovery) and their counter-cyclical movement with the business...

Building on the work of Sorge and Virolainen (2006), we revisit the data on aggregate Finnish bank loan losses from the corporate sector, which covers the ‘Big Five’ crisis in Finland in the early 1990s. Several extensions to the empirical model are considered. These extensions are then used...