We consider nancial positions belonging to the Banach lattice of bounded measurable functionson a given measurable space. We discuss risk measures generated by general acceptance sets allowingfor capital injections to be invested in a pre-specied eligible asset with an everywhere positive...

Our paper explores the role of time preferences on household debt maturity choice. Wefind that in countries where people are more patient in the long term, planning horizons in householddebt portfolios are significantly longer, as the optimal maturity of loans is considerably higher.The...

Applied researchers often test for the difference of the variance of two investment strategies;in particular, when the investment strategies under consideration aim to implementthe global minimum variance portfolio. A popular tool to this end is the F-test for theequality of variances....

This appendix extends the empirical results in Chesney, Crameri, and Mancini (2011). Informedtrading activities on put and call options are analyzed for 19 companies in the bankingand insurance sectors from January 1996 to September 2009. Our empirical findings suggestthat certain events such as...

We investigate whether a bank’s performance during the 1998 crisis, which was viewed at the timeas the most dramatic crisis since the Great Depression, predicts its performance during the recentfinancial crisis. One hypothesis is that a bank that has an especially poor experience in a...

This papers studies the CDS-bond basis, i.e. a measure of price discrepanciesbetween CDS and bonds spreads, for a sample of investment-graded US rms. Resultsshow that during the 2007/09 nancial crisis the basis was time varying and negativelycorrelated to: the \Libor-OIS" spread, a proxy for the...

There is strong empirical evidence that the pricing kernel is Ushaped,which provides a way to explain the substantial coskewnesspremium. Existing studies typically use a polynomial approximationof the pricing kernel. Problematically, these polynomials have, inmost cases, increasing parts by...

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...