Tuesday, November 15th @ 11:00-12:30 PM (639 Evans Hall)
Big Data Analytics and ‘Non-Financial’ Sustainability Information—uses of and initial findings from TruValue Labs’ first years
Jim Hawley & Hendrik Bartel, TruValue Labs
We present an overview of the current state of ESG (environmental, social, and corporate governance) data in the context of the value of so-called non-financial information. TruValue Labs generates real-time ESG/sustainability data using natural language processing, machine learning, and elements of AI to quantify unstructured (text) information sources. We present an overview of how this quantification process works and follow on by examining a variety of techniques used to analyze this data output. We will present some of those techniques and initial results including TVL (TruValue Labs) data as a leading indicator of stock movements under certain circumstances, TVL (TruValue Labs) data as a predictor of rating changes by leading ESG raters, as well as present a number of other use cases of TVL (TruValue Labs) data. Additionally, we speculate on future uses and types of analysis this unique data set enables.