In this paper we focus on the analysis of the effect of prediction and estimation risk on the loss distribution, risk measures and economic capital. When variables for the determination of probability of default and loss distribution have to be predicted because they are not available at the...

In this paper we focus on the analysis of the effect of prediction and estimation risk on the loss distribution, risk measures and economic capital. When variables for the determination of probability of default and loss distribution have to be predicted because they are not available at the...

In this paper we focus on the analysis of the effect of prediction and estimation risk on the loss distribution, risk measures and economic capital. When variables for the determination of probability of default and loss distribution have to be predicted because they are not available at the...

Fractionally integrated vector autoregressive models allow to capture persistence in time series data in a very flexible way. Additional flexibility for the short memory properties of the model can be attained by using the fractional lag perator of Johansen (2008) in the vector autoregressive...

In the following paper a simultaneous unobserved components model is applied to US and Canadian output data in order to examine the causal structure of trend and cycle shocks and the way it changes over time. The main focus is placed on the analysis of the subprime crisis impact on the trend and...

We develop new evidence on job recruitments and vacancy durations using a rich source of data on individual hires. Our core data set contains 55,000 recruitments into vacant job positions for stratified random samples of German employers from 2000 to 2010. We have information about the employer,...