The copula function is considered within the context of financial multivariate data sets that are not normally distributed. The Bernstein polynomial approximation to copulae is given and motivated by its desirable properties. The multivariate convergence properties are analysed. The concept of...

We provide a new framework for identifying timing. Our analysis focuses on the smoothed joint history of the fund with the benchmark. The approach is fully non-parametric. Therefore, it has the advantage of avoiding the misspecification problems so common in this literature. The test statistic...

A computational technique that transform integrals over RK, or some of its subsets, into the hypercube [0, 1]K can be exploited in order to solve integrals via Monte Carlo integration without the need to simulate from the original distribution; all that is needed is to simulate iid uniform [0,...

Recognizing the problems of estimation error in computing risk premia via arbitrage pricing, this paper provides a Bayesian methodology for estimating factor risk premia and hence equity risk premia for both traded and non-traded factors. Some illustrative calculations based on UK equity are...