Many statistical applications require an estimate of a covariance matrix and/or its inverse.When the matrix dimension is large compared to the sample size, which happensfrequently, the sample covariance matrix is known to perform poorly and may suffer fromill-conditioning. There already exists...

Many contributions suggest that earnings instability has increased during the 1980s and1990s. This paper develops and estimates an on-the-job search model of the labor market tostudy the contribution of wage inequality and job mobility in explaining earnings instability. Tostudy the evolution...

Model risk as part of the operational risk is a serious problem for financial institutions.As the pricing of derivatives as well as the computation of the marketor credit risk of an institution depend on statistical models the application of awrong model can lead to a serious over- or...

In Unternehmungen werden regelmäßig Entscheidungen über IT-Projekte getroffenmit dem Ziel, den Nutzen dieser Investitionen zu maximieren. Vor dem Hintergrund,dass rund zwei Drittel der IT-Projekte den prognostizierten Nutzen nicht erreichen,wird die Notwendigkeit einer ex ante Bewertung von...

This paper examines the impact of agency conicts on corporate nancing decisions. Werst build a dynamic contingent claims model in which nancing policy results from a trade-obetween tax benets, contracting frictions, and agency conicts. In our setting, partially-entrenched managers set the rms'...

We present the asymptotic properties of double-stage quantile regressionestimators with random regressors, where the first stage is based on quantile regressionswith the same quantile as in the second stage, which ensures robustness of the estimationprocedure. We derive invariance properties...