ESG Data & Accountability

In the webinar, “ESG Investing: How Big Data Helps Drive Financial Decisions”, panelists from Refinitiv, FactSet-owned Truvalue Labs, Quantum Research Group, and IBKR provide their insights into a wide range of topics, including finding the right balance between technology and human analysis, as well as how much weight to assign to each of the E-S-G factors in terms of materiality. They also offer, among other commentary, how ESG investing and Big Data may evolve over the next 5 to 10 years.

The “ESG Investing: How Big Data Helps Drive Financial Decisions” webinar continues with panelists addressing the challenge of subjectivity when assessing financial materiality in ESG, how the mentality of the financial market has shifted towards ESG, sustainability and impact, and how ESG factors can connect with investors’ personal values when making investment decisions.

The “ESG Investing: How Big Data Helps Drive Financial Decisions” webinar continues with panelists providing their outlook on how ESG investing may evolve over the next 5-10 years, as well as addresses participants’ questions about how Big Data interprets ESG factors, and how ESG data can be used to make more informed investment decisions. Following the webinar, we will also walk-through different forms of deceptive business practices, including green washing, social washing, blue washing, and pink washing, and how companies have historically sought to sidestep controversies, and their associated, potential adverse financial impacts. You’ll learn what forces can help cajole these companies from being held accountable, as well as how regulatory reform may play a key role in eliminating these practices. After completing the videos and webinars in this module, you should be able to discuss, among other topics, how, despite the proliferation of ESG investing-related marketing, products, research, data-driven tools, and inflows into funds, the discipline itself remains subject to a host of unresolved issues, and how conducting due diligence when integrating ESG factors into your financial and credit analyses may ensure whether your investments will be truly aligned with your values.

This Reading Reinforcements module explores more in-depth details about data collection, ESG scores, and how artificial intelligence can aid ESG investing practices, as well as specific examples of green washing activity. After completing the lessons that follow, you should be able to draw conclusions about how Big Data and artificial intelligence can aid in ESG investing analysis, as well as provide insights into historical, and more recent, forms of deceptive business practices.