This paper presents novel empirical evidence on the success of efforts by P2P lending platforms to limit adverse selection using a unique sample of 5,385 credit transactions on the internet platform Prosper.com. The results of our regressions on the probability of a credit bid’s successful...

We introduce a new stochastic order for the tail dependence between random variables. We then study different measures of tail dependence which are monotone in the proposed order, thereby extending various known tail dependence coefficients from the literature. We apply our concepts in an...

We propose to forecast the Value-at-Risk of bivariate portfolios using copulas which are calibrated on the basis of nonparametric sample estimates of the coefficient of lower tail dependence. We compare our proposed method to a conventional copula-GARCH model where the parameter of a Clayton...

We propose the use of convex combinations of parametric copulas as pair-copulas in high-dimensional vine copula models. By doing so, we circumvent the error-prone need to choose and estimate a parametric copula for each paircopula in a vine model. We show in simulations that our proposed model...

We analyze the relation between digitalization and the market value of US insurance companies. To create a text-based measure that captures the extent to which insurers digitalize, we apply an unsupervised machine learning algorithm - Latent Dirichlet Allocation - to their annual reports. We...