Big Data and Artificial Intelligence for Attractive ESG Investment Solutions

10 June 2021

LFIS Capital and SESAMm demonstrate the potential of natural language processing (NLP) techniques to address many common difficulties with standard ESG data, including lack of homogeneity, comprehensiveness, opacity, point in time and reactivity.

Learn how NLP applied to the wealth of textual data can be used to construct short term, alternative ESG signals. Finally, see the results when these proprietary alternative signals are applied to long-only and long-short ESG equity strategies.