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Market-Based Solutions to Vital Economic Issues


Kenan Institute 2023 Grand Challenge: Workforce Disrupted
Market-Based Solutions to Vital Economic Issues

machine learning


George Floyd’s murder caused many firms to reveal how exposed they are to racial diversity issues. We examine investor and firm behaviors after this socially significant event to provide evidence on the valuation effects of the exposure and ensuing corporate responses. We develop a text-based measure of a firm’s exposure to racial diversity issues from conference call transcripts and find that, after the murder of George Floyd, firms with diversity exposure experience a stock price decrease of approximately 0.7% around the date of the conference call. Initiatives taken by firms mitigate the negative market reaction.

We examine firm disclosure choice during the initial public offering (IPO) roadshow presentation to understand the informativeness of a management presentation designed to attract investors. Although firms submit a comprehensive registration filing during the IPO, managers also prepare a roadshow presentation, which is shorter and typically allows managers more autonomy to select the information released and how it is discussed. We find that IPO roadshows have significantly more positive, less negative, and less uncertain language than the SEC filing.

Responsive to calls from lawmakers, the USPTO has recently announced a broad set of measures to increase the quality of drug patents ex ante, before they are granted, as a way of in the US. However, there is currently no way to tell which patent applications cover inventions that will lead to FDA-approved drugs, potentially compromising the efficiency and effectiveness of the agency’s efforts. We address these informational deficits predictively and descriptively through an analysis of patents issued in 2005-2015 that cover drugs as identified through their listing in the FDA’s “Orange Book.”

Reliably detecting insider trading is a major impediment to both research and regulatory practice. Using account-level transaction data, we propose a novel approach. Specifically, after extracting several key empirical features of typical insider trading cases from existing regulatory actions, we then employ a machine learning methodology to identify suspicious insiders across our full sample.

Join us to hear from Seth Lloyd, Professor of Mechanical Engineering and Physics at MIT, as he shares his findings on quantum algorithms for analyzing financial data and predicting time series

Join our panel of experts who will share their technological, legal and social expertise to answer the questions raised by the real-world performance of risk assessment instruments.

A large body of social science evidence indicates that objective, reliable and valid risk assessment instruments are more accurate in evaluating risk than professional human judgements alone. In the world of pretrial detention, where more than 10 million people are jailed each year in the United States after arrest, pretrial risk assessment tools may provide a more efficient, transparent and fairer basis for making assessments than having a judge quickly scan documents detailing the defendant’s prior record and current charges and make a decision in mere minutes. However, these assessments will retain any bias present in the data used by criminal justice agencies.

Corporate executives have begun to glimpse the strategic value of incorporating artificial intelligence as an “employee” within their organization. In this Kenan Insight, we explore a framework that outlines the critical elements for harnessing the potential of human-AI working relationships.

The Kenan Institute of Private Enterprise at the University of North Carolina at Chapel Hill will host a virtual conference on machine learning in finance on March 5, 2021. The conference is co-sponsored by the Journal of Financial Econometrics (JFEC) and the International Center for Finance (ICF) at Yale University.

Emerging artificial intelligence (AI) capabilities are ushering in significant changes in how enterprises operate – and raising a host of questions for organizations. In this Kenan Insight, we explore how changing the organizational mindset to treat AI as an “employee” may pave the way to fully reaping the benefits of AI systems.

Faculty Director of the Rethinc. FinTech Lab, Eric Ghysels was featured as the keynote speaker at the 2nd Crypto Asset Lab Conference. The conference, which took place on Tuesday, October 27th, focuses on all aspects of bitcoin and crypto assets, especially those pertaining to investment, banking, finance, monetary economics, and regulation. Topics included cryptocurrency adoption and transition dynamics, digital cash and payment systems, economics and/or game theoretic analysis of cryptocurrency protocols, economic and monetary aspects of cryptocurrencies and the legal, ethical and societal aspects of (decentralized) cryptocurrencies.

The list of stores that have closed or gone bankrupt in 2020 reads like a “who’s who” of venerable retail giants. Although retailing has been experiencing tectonic shifts for several years, the COVID-19 pandemic has accelerated both challenges and opportunities. In this Kenan Insight, we explore four major trends in retail, with a particular focus on food retailing.