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Market-Based Solutions to Vital Economic Issues


Market-Based Solutions to Vital Economic Issues



We build a financial intermediation model wherein bank and fintech intermediaries compete or partner within frictional credit markets. The model explains the emergence and coexistence of three forms of lending associated with: (i) standalone banks, (ii) standalone fintechs, and (iii) bank-fintech partnerships.

Using a linked database of Paycheck Protection Program (PPP) loans and Yelp-listed restaurants, we document that businesses owned by minority racial groups are more likely to use fintech lenders than traditional lenders. We develop a simple two-sided matching model to show that this phenomenon can be potentially attributed to differences in performance among borrowers, racial disparities in lending relationships, and race-dependent values of borrower-lender matches. Empirically, we do not find consistent evidence that operational performance is an explanation. We find that minority-owned restaurants are less likely to have lending relationships and that restaurants without lending relationships are more likely to use fintech lenders. We also find a more negative minority-non-minority gap in operational performance for fintech lenders, suggesting minority-owned businesses have higher matching values with fintech lenders. We do not find a similar pattern for first-time bank participants, community development financial institutions, credit unions, or other non-federally insured lenders. Overall, our results suggest that there are racial barriers in traditional loan distribution channels and this can be at least partially addressed by fintech lenders.

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.

Artificial intelligence, or AI, enhancements are increasingly shaping our daily lives. Financial decision-making is no exception to this. We introduce the notion of AI Alter Egos, which are shadow robo-investors, and use a unique data set covering brokerage accounts for a large cross-section of investors over a sample from January 2003 to March 2012, which includes the 2008 financial crisis, to assess the benefits of robo-investing. The man versus machine comparison allows us to shed light on potential benefits the emerging robo-advising industry may provide to certain segments of the population, such as low income and/or high risk averse investors.

Certification by online analysts and early investors can generate excitement among potential token investors, leading to successful initial coin offerings (ICOs). We test the general notion of "wisdom of crowds" using novel data on nearly 3,400 ICOs, including sequential investor subscriptions during token sales.