ESG Unstructured Data Analysis

How does an ESG engagement process take place from the investor's perspective, how is it structured, what kind of metrics count? How must corporates be prepared to work with active investors? How can unstructured data help to reach greater ESG transparency?

Brief information

School:

Business

Status:

Completed

Period:

27.06.2022 - 27.06.2023

Overview

This report results from a research project of the Institute of Financial Services Zug IFZ at the University of Applied Sciences and Arts Lucerne. The project “Sustainability Data Analysis using Unstructured Data and NLP” was organized with the project partner EUROFIMA and the ESG insight provider Equintel GmbH to dive deeper into the ESG engagement process and the data requirements that investors face in the field of sustainability and ESG. The project was funded by Innosuisse.

Facts

Type of project

Forschung

Internal organisations involved
  • Business
  • Institute of Financial Services Zug (IFZ)
  • CC Corporate Finance (IFZ CF)
Funding
  • Innosuisse - HSLU als Hauptforschungspartnerin (Main Research Partner)

Persons involved: internal

Project manager
Member of project team

Publications