In this paper we introduce the notion of themes as an additional investment dimension beyond asset classes, regions, sectors and styles, and we propose a framework to allocate to thematic investments at a strategic asset allocation level. The goal of thematic investments is to provide the means...

The digital transformation is creating a need for mass customization of tactical asset allocation. Asset managers publish tactical asset allocation qualitative views regularly. However, the construction of robust portfolios from such views at large scale is often over-simplified. We propose a...

Inter-temporal risk parity is a strategy which rebalances between a risky asset and cash in order to target a constant level of risk over time. When applied to equities and compared to a buy and hold strategy it is known to improve the Sharpe ratio and reduce drawdowns. We used Monte Carlo...

For a number of different formulations of robust portfolio optimization, quadratic and absolute, we show that a) in the limit of low uncertainty in estimated asset mean returns the robust portfolio converges towards the mean-variance portfolio obtained with the same inputs; and b) in the limit...

This paper is devoted to the question of optimal portfolio construction for equity factor investing. The first part of the paper focusses on how to make sure that a given equity portfolio has the targeted factor exposures, even before imposing any constraints. We show that such portfolios can be...

We propose a model based on statistical learning techniques to predict unreported corporate greenhouse gas emissions, which generates considerably better results than existing approaches. The model uses one linear and one non-linear learners only, which reduces its complexity to the minimum...

Asset managers publish tactical asset allocation views regularly. The implementation of such (usually qualitative) views, in portfolios is often over-simplistic. We propose a robust framework to industrialize the construction of tailored portfolios consistent with the views. First, an...

Robust optimization considers uncertainty in inputs to address the shortcomings of mean-variance optimization. We investigate the mechanisms by which robust optimization achieves its goal and give practical guidance regarding its parametrization. We show that quadratic uncertainty sets are...

In this paper we consider the question of how to improve the efficacy of strategies designed to capture factor premiums in equity markets and, in particular, from the value, quality, low risk and momentum factors. We consider a number of portfolio construction approaches designed to capture...

This article investigates the optimal design and management of portfolio insurance for target date funds. Capital protection is often set at 100% at inception for simplicity's sake, but without any clearer rationale. We propose a framework for estimating the optimal level of protection, or...