RepRisk, an ESG data science firm combining machine learning and human intelligence to identify ESG risks, has formed the RepRisk Academic Advisory Board.
The new Board is comprised of five prominent research leaders in ESG dedicated to developing innovative thought leadership, bridging new theories and ideas in the academic space with RepRisk’s industry leading ESG dataset.
“ESG investing can only be as good as the data that underpins it,” says Julian Kölbel, Head of Research, Center for Sustainable Finance and Private Wealth at the University of Zurich. “I look forward to supporting RepRisk’s drive towards reliable and transparent ESG metrics.”
“At RepRisk, we remain steadfast in our mission to drive responsible corporate behaviour and create positive change. Key to fulfilling that is enhancing and formalising our relationship with academia,” says Dr Philipp Aeby, CEO of RepRisk. “That focus on building inroads with academia has never felt more important than it is today amidst the reinvigorated attention on ESG issues and the increased awareness businesses now have on their impact on our society, our environment, and the economy. Our new RepRisk Academic Advisory Board will convene some of the best minds in the field of ESG scholarly research to guide our work in this area, helping ‘kick the tires’ of our datasets and ensure that our ESG risk data continues to remain best-in-class.”
RepRisk’s daily times series of metrics and analytics, starting from January 2007, is based on its transparent, rules-based methodology that has been in place since day one. The time series is not reverse-engineered, but generated point-in-time, allowing for proper back-testing and – as ESG risks are known to be material with respect to security prices – to generate ESG alpha.
