MIT

FIS Harvard 2025

Future AI winners will command hardware, training data power

The current versions of AI are helpful at the “partial automation” of tasks, but the last mile of training to reach “full automation” will come with a dramatic escalation of costs. For investors who want to place their capital most effectively, there are some ways to spot an AI winner.

Darcy SongJune 4, 2025

Sustainability Harvard - September 2022

ESG data will always be imperfect, despite its critical role

Professor Roberto Rigobon and Mass PRIM's Michael Trotsky explore the complexities of accurate data in ESG investment. Abandoning ESG due to imperfect data would be like abandoning the judicial system for the same reason, argues Rigobon the author of the controversial ‘Aggregate Confusion’ paper.

Ben HurleyOctober 10, 2022

Sustainability Digital – Sept 2021

ESG needs better data, better ratings and better products

Mass PRIM is involved in an MIT initiative to improve ESG with better data, ratings and ultimately products. Executive director and CIO, Michael Trotsky, explains how the ambiguity around ESG ratings creates acute challenges for investors trying to achieve both financial and social return.

Sarah RundellSeptember 23, 2021

Sustainability

MIT consortium builds ESG tools

Research into the data, measurement and methodologies of ESG rating agencies has resulted in the Aggregate Confusion Project, a research project led by academics at MIT to develop a set of ESG tools and methodologies that will become best practice.

Amanda WhiteJanuary 14, 2021

Asset Allocation

Scenario analysis tool predicts U-shape

A U-shaped recovery is the most likely economic outcome in the US for the next two years, but stagflation has a higher than anticipated chance of occurring according to a new paper about scenario analysis co-authored by State Street and GIC researchers. The study revolutionises scenario analysis by reorienting it towards a path.

Amanda WhiteNovember 6, 2020

Research

Finance model says Biden will win

Joe Biden will win the US election according to a technique used in finance to predict factor returns and the correlation of stock and bond returns. The technique, outlined in an MIT working paper, correctly predicted the past five elections, including 2016.

Amanda WhiteOctober 30, 2020