This paper evaluates the performance of a few newly proposed on-line forecast combination algorithms, and compares them with some of the existing ones including the simple average and that of Bates and Granger (1969). We derive asymptotic results for the new algorithms that justify certain...

We develop a new approach for evaluating performance across hedge funds. Our approach allows for performance comparisons between models that are misspecified – a common feature given the numerous factors that drive hedge fund returns. The empirical results show that the standard models used in...

Noting that "one size does not fit all" in the case of the finance-growth (FG) nexus, a growing body of literature has recently focused on uncovering economic conditions under which financial development could be beneficial (detrimental) to economic development. We look into these conditions by...

In this paper nonparametric techniques are used to estimate higher-order moments of technical efficiency. The procedures developed in this paper allow the moments to be estimated with relative ease, while at the same not requiring restrictive assumptions on the distribution of inefficiency. The...

We examine the (potentially nonlinear) relationship between inequality and growth using a method which does not require an a priori assumption on the underlying functional form. This approach reveals a plateau completely missed by commonly used (nonlinear) parametric approaches - the economy...