This week’s AdmansPraxis Research Reads focuses on how investment outcomes can be shaped by the processes and assumptions sitting behind the headline proposition. The selected research covers AI bias in investment workflows, benchmark-free portfolio construction, multi-asset allocation, structured-credit opportunities linked to AI infrastructure, and the limits of universal manager-selection signals, all with direct relevance for professional fund selectors and allocators.

The selected papers and reports examine liquidity governance, active fund selection, performance measurement, systematic factor implementation, macro conditions and the evolving Japanese equity opportunity set. Together, they reinforce the need to test whether reported outcomes, stated investment edges and portfolio characteristics remain credible once differences in methodology, vehicle structure, implementation and market regime are taken into account.