Like anyone trying to get something done with limited time and resources, economic developers have a lot of options to weigh when formulating a strategy to attract and retain businesses in their local economy. Over the years, economic development researchers have espoused a succession of theories as they’ve learned more about the many factors that influence economic growth. Historically, practitioners have tended to respond by focusing their efforts around what they perceive as the latest and greatest thinking, often at the expense of previously favored approaches. In practice, this has led to waves in which economic developers have focused on recruiting large, established companies or on fostering home-grown start-ups—but rarely both.
Using a large database of U.S. equity position-level holdings for hedge funds, we measure the degree of securitylevel crowdedness. The crowdedness factor is related to downside “tail risk" as stocks with higher exposure to crowdedness experience relatively larger drawdowns during periods of market distress. This tail risk extends to hedge fund portfolio returns as the crowdedness factor explains why some funds experience relatively large drawdowns.
In the past decade, coworking spaces have emerged as a new and promising phenomenon within entrepreneurship. Due to its prevalence, popularity and potential for disruptive change, coworking is increasingly relevant to theory, practice and policy in entrepreneurship, yet its implications are largely unstudied given its rapid rise. Overall, more data and analysis is needed to inform owners, policy makers and entrepreneurs about the effects of coworking. This paper is meant to increase understanding about the nature and value of this new phenomenon. In other words, it attempts to address the question: Does coworking work?
We model a dynamic economy with strategic complementarity among investors and government interventions that mitigate coordination failures. We establish equilibrium existence and uniqueness, and show that one intervention can affect subsequent interventions through altering public information structures. Our results suggest that optimal policy should emphasize initial interventions because coordination outcomes tend to correlate. Neglecting informational externalities of initial interventions results in over- or under-interventions.
Our briefing paper offers a perspective that centers on what we can reliably learn from the general direction of AI impacts on business change, rather than just speculate about. Only then can executives assess what AI points to for their firm’s development in its current and potential competitive ecosystem, leveraging its organization, technology and financial capabilities.
The autonomous car began as an opportunity that required breaking all kinds of limits: engineering, navigation, adjusting to traffic conditions, distinguishing objects, predicting what those objects might do, reacting in time, calculating quickly and juggling a vast number of ever-changing variables. The developers used more and more computer power to address these needs. But the initial bounding limit turned out to be very fundamental; rule-based computers don’t have pattern power.
AI has become close to bewildering in its promises, met and unmet, its terms and tools, acronyms, “use” case examples of wild successes countered by duds and disappointments. There’s an overall lack of clear pointers for business leaders to shape the direction, priorities and pace of their organization’s AI activities. Over the past two years, we have explored the widening AI space; what stood out in our reviews is that there is today a lack of management perspective on AI.
In the run up to the financial crisis, the essential functions financial intermediaries played seemed to become less important. Commercial and industrial loans, as well as residential mortgages, the quintessential banking products, were securitized and sold.
We analyze the contribution of returns around earnings announcements to typical estimates of the “prices lead earnings” relation. We find that prior returns' ability to explain earnings is concentrated disproportionally in returns on earnings announcement dates, suggesting that a substantial portion of the estimated timeliness of returns in previous studies is empirically indistinguishable from the information content of earnings.
Private labels (PLs) represent a major opportunity for retailers, and a severe threat to brand manufacturers. However, considerable heterogeneity can be observed in PL growth rates across markets, creating ambiguity about their future growth potential. This poses a formidable challenge to both brands and retailers on how to allocate resources across different markets to prepare for the future.
On average, competing retailers near Lidl stores set their prices approximately 9.3% lower than in markets where Lidl is not present, which is more than three times as much as was typically reported in other academic work on Walmart’s entry in a new market. This price reaction results, on average, in substantial dollar savings for customers.
Chris Peronto is the Vice President and Head of Enterprise Strategy & Innovation at Blue Cross Blue Shield of North Carolina. The MBA Healthcare Club sat down with the UNC ’91 Alum to discuss all things COVID-19.
The MBA Healthcare Club sat down with the KFBS ’98 Alum to talk about the impact of COVID-19 and the current uncertain economic climate, as well as how the investment banking industry continues to respond.
Governors across the United States have reacted to the COVID-19 pandemic by implementing state-level executive actions to address a range of issues provoked by the crisis. Although it is too early to gauge the long-term effects of the pandemic and states’ responses to it, this Kenan Insight provides a preliminary analysis of actions governors have taken thus far, to help inform policymaking going forward.
As federal, state and local governments struggle to reopen the economy as the COVID-19 pandemic surges onward, efforts to ensure people’s health and safety are seemingly at odds with attempts to spur economic activity. In this Kenan Insight, we explore how a data-driven approach to reopening North Carolina (and the U.S. as a whole) can help preserve both lives and livelihoods.
Still in its infancy, the Hospital Compare overall hospital quality star rating program introduced by the Centers for Medicare & Medicaid Services (CMS) has generated intense industry debate.
The arrival of two approved COVID-19 vaccines provides a clear path to the end of the pandemic that held most of 2020 hostage. But a recent resurgence of the virus and skyrocketing rates of infection indicate that a full return to normalcy—including the pre-pandemic work environment— is still months in the future. In this Kenan Insight, we examine the relevant factors that will determine when and how we go back to the office.
For more than a year, researchers across the University of North Carolina at Chapel Hill’s (UNC) Kenan-Flagler Business School (KFBS) and School of Medicine (SOM) worked with Sharecare, Inc. (Sharecare) to establish a framework for measuring the true value of corporate well-being interventions and develop a measurement tool to quantify their impact over time. The goal of the research was to assess the value of implementing corporate well-being interventions to improve employee health and lower direct medical costs to employers.
Theoretically, wealthier people should buy less insurance, and should self-insure through saving instead, as insurance entails monitoring costs. Here, we use administrative data for 63,000 individuals and, contrary to theory, find that the wealthier have better life and property insurance coverage.
Virginia’s rapid population growth over the past three decades has been uneven, creating demographic winners and losers, and masks several demographic headwinds that will constrain future growth and competitiveness if left unaddressed, including slowing rates of total and foreign-born population growth, white population decline, deaths of despair, and declining labor force participation among prime working age males and females in the state.