The recent global crisis highlighted the risks stemming from real estate booms. This has generated a growing literature trying to better understand the sources and the risks associated with housing and credit booms. This paper complements and supplements the previous work by (i) exploiting more...

International banks greatly reduced their direct cross-border and local affiliates' lending as the global financial crisis strained balance sheets, lowered borrower demand, and changed government policies. Using bilateral, lender-borrower countrydata and controlling for credit demand, we show...

We examine the composition and drivers of cross-border bank lending between 1995 and 2012, distinguishing between syndicated and non-syndicated loans. We show that on-balance sheet syndicated loan exposures account for almost one third of total cross-border loan exposures during this period....

The recent crises highlighted the role of cross-border banking linkages. This paper proposes two new measures for better capturing creditor banking systems’ foreign credit exposures and borrower countries’ reliance on foreign bank credit, by combining BIS data with bank-level data. The...

The situation of a limited availability of historical data is frequently encountered in portfolio risk estimation, especially in credit risk estimation. This makes it, for example, difficult to find temporal structures with statistical significance in the data on the single asset level. By...

In credit risk modelling, the correlation of unobservable asset returns is a crucial component for the measurement of portfolio risk. In this paper, we estimate asset correlations from monthly time series of Moody's KMV asset values for around 2,000 European firms from 1996 to 2004. We compare...

Stress testing has become a crucial point on the Basel II agenda, mainly as Pillar I estimates do not explicitly take portfolio concentration into account. We start from the credit portfolio of the German pension insurer being a cross-sectional representation of the German economy and...

The situation of a limited availability of historical data is frequently encountered in portfolio risk estimation, especially in credit risk estimation. This makes it, for example, difficult to find temporal structures with statistical significance in the data on the single asset level. By...