We develop threshold models that allow volatilities and copula functions or their association parameters to change across time. The number and location of the thresholds is assumed unknown. We use a Markov chain Monte Carlo strategy combined with Laplace estimates that evaluate the required...

The goal of this paper is to identify influential analysts who generate abnormal returns when issuing a new recommendation by building a model that bets on the sparsity of typical analysts' recommendation data. Based on Bayesian techniques, we estimate a regression model for the abnormal returns...

Modern technology allows people to communicate directly using voice and video calls, emails, instant messages traveling from one device to another. Communication is done by maintaining trust in each other without a third party, no matter how far away they are. But when in a communication between...