Academic Research Network

Connecting the world’s leading academics with TruValue Labs’ AI-generated ESG data.

Current Research Projects
Researchers from leading academic institutions around the world are using TruValue Lab’s ESG data in their investigations.

View the current projects below, click on photos for project details and contact Dr. Jim Hawley to learn more.

Amir Amel-Zadeh

University of Oxford
Said Business School

Topic: Exploratory investigation of ESG data from a quantitative perspective

Collaborators: Colin Mayer, Qian Li

Rob Bauer

Maastricht University School of Business and Economics, Department of Finance

Topic: Does the financial market respond to ESG information and which ESG factors to investors use in investment decision making?

Collaborators: Jeroen Derwall, Paulo Rodrigues, Colin Tissen

Satyajit Bose

Columbia University
Business School

Topic: Examining the dynamic between ESG trends using TruValue Labs’ scores versus changes in relative valuation and versus EBIT

Collaborators: Andre Shepley

Ben Caldecott

University of Oxford
Smith School of Enterprise and Finance

Topic: ESG data and macroeconomic (country-level) performance at the country level

Collaborators: Xiaoyan Zhou, Kim Schumacher

Costanza Consolandi

University of Siena
Department of Business and Law

Topic: A portfolio analysis of materiality as the hidden value of corporate sustainability and linking ESG materiality to impact

Collaborators: Robert G. Eccles (Oxford), Marco Busoni

Witold J. Henisz

University of Pennsylvania
The Wharton School

Topic: Assessing financial implications of social risk and environmental risk vis-à-vis indigenous land claims impacting the performance of investments

Bryan Kelly

Yale School of Management
(in collaboration with NYU Stern School of Business)

Topic: Hedging climate change news

Collaborators: Rob Engle (NYU), Stefano Giglio, Johannes Stroebel (NYU), Heebum Lee (NYU)

George Serafeim

Harvard Business School

Topic: How big data and machine learning approaches can be used to better understand firm behavior, future strategy and market participant expectations

Considering Using Our Data in Your Research?

To discuss your research ideas or find ways to use TruValue Labs’ ESG data in your research, reach out to Dr. Jim Hawley by filling out the form below.

Jim Hawley

Head, Applied Research, TruValue Labs

Professor Emeritus of Management
School of Economics and Business
Saint Mary College of California

About

TruValue Labs is excited to launch our Academic Research Network to enable academic researchers to make use of our timely ESG data created with the power of artificial intelligence. Researchers come from a variety of disciplines and focus on a host of topics.

We make TruValue Labs’ data available and coordinate among academic researchers on projects they develop or on topics jointly developed.  We help academic researchers to make discoveries in the world of ESG and investment risk/opportunity using TruValue Labs’ unique datasets.

Rob Bauer

Maastricht University
School of Business and Economics

Department of Finance

r.bauer@maastrichtuniversity.nl

The main research question we intend to answer is whether the financial market responds to ESG information, i.e., in updating the valuation of companies. Since the dataset provided by TruValue Labs contains data on a disaggregated level, we would be able to also analyze the question of which component(s) of the information has (have) the largest impact on stock prices and if some components are disregarded by the market altogether. The dataset contains information on, e.g., corporate governance, environmental news, and social impact. In addition, the broader scope of information gathering (such as information on court cases), will contribute to answering this research question.

One of the most interesting questions in finance is what information is used by investors to determine the value of a corporation? Why might certain ESG factors in theory be valued by investors?

Collaborators
Jeroen Derwall (assistant professor at the finance department)
Paulo Rodrigues (assistant professor at the finance department)
Colin Tissen (PhD student at the finance department)

Costanza Consolandi

University of Siena
Department of Business and Law

costanza.consolandi@unisi.it

Materiality as the hidden value of corporate sustainability: a portfolio analysis.
Using a quintile approach to TVL ESG data for companies included in the S&P 500 from 2012 to 2017, the research provides evidence that a portfolio strategy based on ESG materiality efforts ultimately benefits long-term investors

Linking ESG materiality to impact
(with Robert G. Eccles, Said Business School, Oxford University)

Collaborators
Robert G. Eccles, Oxford University
Marco Busoni, University of Siena

Witold J. Henisz

The Wharton School
University of Pennsylvania

henisz@wharton.upenn.edu

Assessing financial implications of social risk, particularly involving indigenous land claims, on the performance of large-scale infrastructure projects. (With James McGlinch)

Assessing financial implications of social risk, particularly involving non-inclusive stakeholder relations, on the performance of foreign investments of the Fortune 500. (With James McGlinch)

Assessing financial implications of environmental risk, particularly involving indigenous land claims, on the performance of firms in the agriculture value chain.

Efforts to validate Tru-Value data by conducting within industry comparisons in extractive sector and matching variation in firm-level performance to ESG risk events and differences in ESG risk management practices over time.

Bryan Kelly

Yale School of Management
(in collaboration with NYU Stern School of Business)

bryan.kelly@yale.edu

Hedging Climate Change News
This project aims to develop a dynamic approach to hedge climate change news. We use measures of firm-level climate risk exposure to construct climate change hedge portfolios.

Collaborators
Rob Engle (NYU)
Stefano Giglio (Yale)
Johannes Stroebel (NYU)
Heebum Lee (NYU)

Amir Amel-Zadeh

University of Oxford
Said Business School

amir.amelzadeh@sbs.ox.ac.uk

Exploratory investigation of Data from a Quant Perspective

Collaborators
Colin Mayer (Oxford)
Qian Li (Oxford)

Ben Caldecott

University of Oxford
Smith School of Enterprise and Finance

ben.caldecott@smithschool.ox.ac.uk

ESG data and macro economic (country-level) performance

Collaborators
Xiaoyan Zhou
Kim Schumacher

Satyajit Bose

Columbia University
Business School

sgb2@columbia.edu

Examining the dynamic between ESG trends—as measured by the Insight Score, Pulse Score, and Momentum Score—and changes in relative valuation, in addition to other valuation dynamics; inquiry into fundamental factors such as relation between ESG scores and EBIT and organic growth relative to peers; use data to create custom categories across industries.

Collaborators
Andre Shepley

George Serafeim

Harvard Business School

gserafeim@hbs.edu

This research project seeks to understand how big data and machine learning approaches can be used to better understand firm behavior, future strategy and market participant expectations.

Dr. Jim Hawley

Jim Hawley, PhD is Head, Applied Research at TruValue Labs, San Francisco, California, which provides advanced analytics to create sustainability metrics using real-time ESG data. He is also Professor Emeritus of Management, School of Economics and Business at Saint Mary College of California.

Jim is the author of The Rise of Fiduciary Capitalism (2001) and co-editor of Corporate Governance Failures: The role of institutional investors in the global financial crisis (2011), The Cambridge Handbook of Institutional Investment and Fiduciary Duty (2014), The Routledge Handbook of Responsible Investment (2015) and The Purpose of Asset Management (2018).

Based on feedback from his ESG network of peers, Jim created TruValue Labs’ Academic Research Network to enable better collaboration among principal investigators using TruValue Labs’ ESG data.

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