We study the determinants of country default risk by applying a Multiple Indicators Multiple Causes (MIMIC) model. This accounts for the fact that country default risk is an unobservable variable. Whereas existing (regression-based) approaches typically use only one of several possible country default risk indicators as the dependent variable, the MIMIC model enables us to consider several indicators at once. The simultaneous consideration of sovereign yield spreads and Standard and Poor (S&P) ratings may help to improve the identification of the latent country default risk. Our results confirm most of the literature's main findings regarding important determinants of country default risk, refute others and provide new evidence to controversial questions.

This article seeks to make an assessment of estimation uncertainty in a multi-rating class loan portfolio. Relationships are established between estimation uncertainty and parameters such as probability of default, intra- and inter-rating class correlation, degree of inhomogeneity, number of rating classes used, number of debtors and number of historical periods used for parameter estimations. In addition, by using an exemplary portfolio based on Moody’s ratings, it becomes clear that estimation uncertainty does indeed have an effect on interest rates.

We study whether ADR (American depositary receipt) investors perceive the risk that countries such as Greece, Ireland, Italy, Portugal or Spain could leave the eurozone to address financial problems produced by the sub-prime crisis. Using daily data, we analyse the impact of vulnerability measures related to currency crisis theories on ADR returns. We find that ADR returns fall when yield spreads of sovereign bonds or CDSs (credit default swaps) rise (i.e. when debt crisis risk increases); when banks' CDS premiums rise or stock returns fall (i.e. when banking crisis risk increases); or when the euro's overvaluation increases (i.e. when the risk of competitive devaluation increases).

We use a compound option-based structural credit risk model to estimate banking crisis risk for the United States based on market data on bank stocks on a daily frequency. We contribute to the literature by providing separate information on short-term, long-term and total crisis risk instead of a single-maturity risk measure usually inferred by Merton-type models or barrier models. We estimate the model by applying the Duan (1994) maximum-likelihood approach. A strongly increasing total crisis risk estimated from early July 2007 onwards is driven mainly by short-term crisis risk. Banks that defaulted or were overtaken during the crisis have a considerably higher crisis risk (especially higher long-term risk) than banks that survived the crisis.

We use a compound option-based structural credit risk model to infer a term structure of banking crisis risk from market data on bank stocks in daily frequency. Considering debt service payments with different maturities this term structure assigns a separate estimator for short- and long-term default risk to each maturity. Applying the Duan (1994) maximum likelihood approach, we find for Kazakhstan that the overall crisis probability was mainly driven by short-term risk, which increased from 25% in March 2007 to 80% in December 2008. Concurrently, the long-term default risk increased from 20% to only 25% during the same period.

We develop an indicator for currency crisis risk using price spreads between American Depositary Receipts (ADRs) and their underlyings. This risk measure represents the mean exchange rate ADR investors expect after a potential currency crisis or realignment. It makes crisis prediction possible on a daily basis as depreciation expectations are reflected in ADR market prices. Using daily data, we analyze the impact of several risk drivers related to standard currency crisis theories and find that ADR investors perceive higher currency crisis risk when export commodity prices fall, trading partners’ currencies depreciate, sovereign yield spreads increase, or interest rate spreads widen.

Neglecting the existence of different technologies in banking can contaminate efficiency, market power, and other performance measures. By simultaneously estimating (i) technology regimes conditional on exogenous factors, (ii) efficiency conditional on risk management, and (iii) Lerner indices of German banks, we identify three distinct technology regimes: Public & Retail, Small & Specialized, and Universal & Relationship. System estimation at the regional level reveals that greater bank market power increases bank profitability but also fosters corporate defaults. Corporate defaults, in turn, lead to higher probabilities of bank distress, which supports the market power-fragility hypothesis.

We advocate a dynamic approach to monetary convergence to a common currency that is based on the analysis of financial system stability. Accordingly, we empirically test volatility dynamics of the ten-year sovereign bond yields of the 2004 EU accession countries in relation to the eurozone yields during the January 2, 2001 untill January 22, 2009 sample period. Our results show a varied degree of bond yield co-movements, the most pronounced for the Czech Republic, Slovenia and Poland, and weaker for Hungary and Slovakia. However, since the EU accession, we find some divergence of relative bond yields. We argue that a ‘static’ specification of the Maastricht criterion for long-term bond yields is not fully conducive for advancing stability of financial systems in the euro-candidate countries.

This study argues that the severity of the current global financial crisis is strongly influenced by changeable allocations of the global savings. This process is named a “wandering asset bubble”. Since its original outbreak induced by the demise of the subprime mortgage market and the mortgage-backed securities in the U.S., this crisis has reverberated across other credit areas, structured financial products and global financial institutions. Four distinctive stages of the crisis are identified: the meltdown of the subprime mortgage market, spillovers into broader credit market, the liquidity crisis epitomized by the fallout of Bear Sterns with some contagion effects on other financial institutions, and the commodity price bubble. Monetary policy responses aimed at stabilizing financial markets are proposed.

Die Bewertung der Ausfallwahrscheinlichkeiten von Ratingklassen, basierend auf historischen Daten, ist mit Schätzunsicherheit verbunden. Zur Bewertung dieser Unsicherheit werden in der Literatur Konfidenzintervalle diskutiert. Diesen liegen allerdings Annahmen bezüglich der Abhängigkeiten zwischen einzelnen Forderungen zugrunde, die im Widerspruch zu den Annahmen der gängigen Kreditportfoliomodelle stehen. Im vorliegenden Beitrag wird anhand von Simulationsstudien gezeigt, dass eine Berücksichtigung von Schätzunsicherheit in kleinen Portfolios gerechtfertigt sein kann, auch wenn dafür Abhängigkeiten vernachlässigt werden müssen. Die Modellierung der Schätzunsicherheit beruht hier auf der Idee der Konfidenzintervalle und der ihnen zugrundeliegenden Verteilungen. Die Ergebnisse der Arbeit sind vor allem für die Modellierung von Forderungsportfolios in Unternehmen von Interesse.