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.
What is a stablecoin, and why did the one known as TerraUSD break the buck and crash? Kenan Institute Chief Economist Gerald Cohen moderates this timely crypto conversation with University of California-Berkeley Haas School of Business Professor Christine Parlour, UNC Kenan-Flagler Business School Professor Eric Ghysels and Chief Revenue Officer Michael Coscetta of Paxos.
On Tuesday, March 29th, First Citizens Bank Vice Chairwoman Hope Bryant joined UNC Kenan-Flagler Business School Dean Doug Shackelford for a fireside chat. Bryant discussed the history of First Citizens Bank, the impacts of COVID-19 on the workforce and her experiences as a woman in a leadership position.
Certification by analysts on a FinTech platform that harnesses the “wisdom of crowds” is associated with successful initial coin offerings (ICOs). We show that favorable ratings by a group of analysts with diverse backgrounds positively predict fundraising success and long-run token performance. Analysts’ ratings also help detect potential fraud ex ante. We document that analysts have career concerns and are incentivized by the platform to issue informative ratings. Overall, our results suggest that a market-based certification process that relies on a diverse group of individuals is at play in financing blockchain startups.
Cryptocurrency has its critics, but it’s becoming an increasingly mainstream option for retail and institutional investors alike. In this Kenan Insight, we share some thoughts from former Co-president of Morgan Stanley Zoe Cruz and Rethinc. Labs Faculty Director Eric Ghysels on whether crypto has reached a tipping point for adoption by individual investors.
Join us to hear Dr. Daniel J. Egger present his findings from his work in the Quantum Technologies group at IBM Research in Zurich. His research focusses on the control of quantum computers and on the practical applications of quantum algorithms in finance.
Join us for our next discussion as Isaiah Hull, a Senior Economist with Sweden’s Central Bank introduces quantum money and highlights the common misconceptions about what is achievable with quantum computing in economic models.