In this edition’s feature article, we look at Natural Language Processing (NLP) in the context of Energy Transition. Three of my colleagues have developed a systematic investment approach based on the analysis of company news reports.
Applying a sophisticated methodology, they let computers search first for relevant keywords and then for companies mentioned in connection with them. Further filtering and human input ultimately results in a portfolio of companies that are likely to be key players in the ongoing transition to sustainable energy.
In the words of one author: “Our systematic approach is the reason why we are pioneers in ESG.” I think this summarizes quite succinctly our values when it comes to sustainable investing. You can read the full interview in this edition.
Another study deals with low volatility and low carbon: conventional wisdom claims that it is impossible to construct a portfolio that fulfils both goals. However, with the appropriate quantitative techniques, portfolio stability can indeed be achieved without the need to invest in carbonintensive utilities.
Finally, we discuss the role of fixed income ETFs at the height of the pandemic-related market stress in March 2020. We argue that they provided at least some stability in the midst of the storm. Find out why and what this means for investors in the future.
We hope you enjoy the new edition of Risk & Reward.