We show that on-demand insurance contracts, an innovative form of coverage recently introduced through the InsurTech sector, can serve as a screening device. To this end, we develop a new adverse selection model consistent with Wilson (1977), Miyazaki (1977) and Spence (1978). Consumers have...

Die deutlichen Unterschiede in der regionalen Verteilung und Integration von Zugewanderten wirkt sich auch auf die strukturellen Rahmenbedingungen von Jobcentern aus. Vor diesem Hintergrund untersucht die vorliegende Machbarkeitsstudie, inwiefern das IAB-Verfahren der Typisierung von...

This paper extends the stochastic dominance rules for normal mixture distributions derived by Levy and Kaplanski (2015). First, the portfolios under consideration are allowed to follow different regime-switching processes. Second, the results are extended from second- to fourth-order stochastic...

This paper extends the stochastic dominance rules for normal mixture distributions derived by Levy and Kaplanski (2015). First, the portfolios under consideration are allowed to follow different regime-switching processes. Second, the results are extended from second- to fourth-order stochastic...

We consider a multivariate Markov-switching GARCH model which allows for regime-specific volatility dynamics, leverage effects, and correlation structures. Stationarity conditions are derived, and consistency of the maximum likelihood estimator (MLE) is established under the assumption of...

This appendix contains a minor errata.The paper "A Note on the Moments of the Skew-Normal Distribution" to which these Appendices apply is available at the following URL: "http://ssrn.com/abstract=2404465" http://ssrn.com/abstract=2404465

Azzalini's skew-normal distribution is an attractive tool for modeling the skewness observed in many economic and financial variables. Formulas for the odd moments of the skew-normal distribution have been given by Henze (1986) and, more recently, Martinez et al. (2008). This note provides a...

The class of mixed normal conditional heteroskedastic (MixN-GARCH) models, which couples a mixed normal distributional structure with GARCH-type dynamics, has been shown to offer a plausible decomposition of the contributions to volatility, as well as excellent out-of-sample forecasting...