This paper explores a linear hedge fund replication and alternative beta methodology that is robust to the presence of non linearities and the possibility of model mis-specification. In a fashion similar to Roncalli and Weisang (2009a), the problem is cast as a tracking problem in order to allow...

While the use of dynamic factor models for Hedge Fund Replication (HFR) has proven to be superior to standard OLS methodologies (e.g., Roncalli and Weisang, 2009a,b), current factor selection methodology in these dynamic settings by means of direct PCA-based estimation of the factors (e.g.,...

In this paper, I propose an algorithm combining adaptive sampling and Reversible Jump MCMC to deal with the problem of variable selection in time-varying linear model. These types of model arise naturally in financial application as illustrated by a motivational example. The methodology proposed...