On Thursday, June 11, Felix Miebs (TH Cologne) presents his paper  in the ULME seminar.
"An averaging framework for minimum-variance portfolios: Optimal rules for combining portfolio weights" (see abstract below). 
Felix Miebs will be around in the afternoon. Please contakt Sandra Ludwig if you would like to talk to him.

Abstract: 
We propose an averaging framework for combining minimum-variance strategies to either minimize the expected out-of-sample variance or maximize the expected out-of-sample Sharpe ratio. Our framework overcomes the problem of selecting the “best” strategy ex-ante by optimally averaging over portfolio weights. This averaging procedure has an intuitive economic interpretation because it resembles a fund-of-fund approach, where each minimum-variance strategy represents a single fund. In a range of simulations, for a set of well-established strategies, we show that optimally averaging over portfolio weights improves the out-of-sample variance and Sharpe ratio. We confirm the finding of our simulation study on empirical data.