We propose a strategy to build portfolios of sovereign securities with progressively declining carbon footprints. Passive investors could use it as a new Paris-consistent benchmark to construct a “net zero” (NZ) portfolio while tracking closely the risk-adjusted returns of a...

We propose that investment strategies should be evaluated based on their net-of-trading-cost return for each level of risk, which we term the "implementable efficient frontier." While numerous studies use machine learning return forecasts to generate portfolios, their agnosticism toward trading...

We investigate the performance of non-linear return prediction models in the high complexity regime, i.e., when the number of model parameters exceeds the number of observations. We document a "virtue of complexity" in all asset classes that we study (US equities, international equities, bonds,...