Applying complex network theory to the understanding of high-aspect-ratio carbon-filled composites

This work demonstrates that the theoretical framework of complex networks typically used to study systems such as social networks or the World Wide Web can be also applied to material science, allowing deeper understanding of fundamental physical relationships. In particular, through the application of the network theory to carbon nanotubes or vapour-grown carbon nanofiber composites, by mapping fillers to vertices and edges to the gap between fillers, the percolation threshold has been predicted and a formula that relates the composite conductance to the network disorder has been obtained. The theoretical arguments are validated by experimental results from the literature.

Selectivity and timing abilities of international socially responsible funds

This article analyses the selectivity and market timing abilities of international Socially Responsible Investment (SRI) funds, from eight European markets, in comparison to conventional funds with similar characteristics. The results show that differences in market timing abilities of international SRI funds and their conventional peers are not statistically significant. However, SRI funds investing in European equities are significantly worse stock pickers than conventional funds, whereas for funds investing globally, selectivity abilities are similar among both fund groups. Hence, our results suggest that a broader investment universe might increase SRI fund managers’ stock picking abilities and, consequently, improve SRI fund performance.