Knowledge is central to managing an organization, but its presence in employees is difficult to measure directly. We hypothesize that external communication patterns reveal the location of knowledge within the management team. Using a large database of firm conference call transcripts, we find...

Understanding how defaults correlate across firms is a persistent concern in risk management. In this paper, we apply covariate-dependent copula models to assess the dynamics of credit risk dependence and its driving forces based on an empirical study of a business group in China. Our empirical...

Motivated by increment process modeling for two correlated random and non-random systems from a discrete-time asset pricing with both risk free asset and risky security, we propose a class of semiparametric regressions for a combination of a non-random and a random system. Unlike classical...

Smooth mixtures, i.e. mixture models with covariate-dependent mixing weights, are very useful flexible models for conditional densities. Previous work shows that using too simple mixture components for modeling heteroscedastic and/or heavy tailed data can give a poor fit, even with a large...