Recovery rates are besides default probabilities the second important component in credit-risk modelling. Whereas the determinants of default probabilities have been studied extensively in the last forty years, recovery risks have been neglected for a long time. Only in recent years, due to new...

In this article, the dependence of aggregated recovery rates on various explanatory variables is examined. This study is based on a unique dataset covering almost 40000 individual resolved defaulted loans and using a consistent definition of default and recovery over different jurisdictions....

This study on explaining aggregated recovery rates (ARR) is based on the largest existing loss and recovery database for commercial loans provided by Global Credit Data, which includes defaults from 5 continents and over 120 countries. The dependence of monthly ARR from bank loans on various...

Quantitative models are omnipresent –but often controversially discussed– in todays risk management practice. New regulations, innovative financial products, and advances in valuation techniques provide a continuous flow of challenging problems for financial engineers and risk managers...

This paper develops an approximate closed-form optimal portfolio allocation formula for a spot asset whose variance follows a GARCH(1,1) process. We consider an investor with constant relative risk aversion (CRRA) utility who wants to maximize the expected utility from terminal wealth under a...

In this article we consider the post-retirement phase optimization problem for a specific pension product in Germany that comes without guarantees. The continuous-time optimization problem is defined consisting of two specialties: first, we have a product-specific pension adjustment mechanism...