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.
High levels of inflation have dominated global headlines for a good part of the last year, but what’s the connection between high global inflation and a strong dollar?
We study price optimization under the mixture of boundary logit (MBL) model, which was recently introduced in Jagabathula et al. (2020) and Jagabathula and Venkataraman (2022). We show that the pricing problem under the MBL model is hard to solve in the most general case. However, we prove structural results for the general pricing problem and characterize the optimal solution for several special cases, including a setting in which all products are charged the same price, and a setting with two products.
As part of our 2023 grand challenge, we survey factors such as demographics, health trends, immigration and childcare that are essential to understanding the dynamics now at play regarding the supply of workers in the labor force.
UNC Kenan-Flagler Business School Finance Professor and Sarah Graham Kenan Distinguished Scholar Camelia Kuhnen has been named director of research for the Frank Hawkins Kenan Institute of Private Enterprise.
Since March 2022, the Federal Reserve has battled the highest inflation in decades with interest rate increases whose effects are only now starting to be seen. So does this mean the era of rate hikes is coming to an end?
The settlement with the National Association of Realtors will alter how real estate agents do business. Eric Maribojoc, associate director for the Affordable Housing Initiative at UNC Kenan-Flagler Business School, discusses changes we might see.
We consider the problem of allocating a single type of resource with limited supply to distinct groups, each with a finite population and characterized by unique reward and arrival rate. We consider both deterministic and stochastic settings.
We study the problem of dynamically assigning jobs to workers with two key aspects: (i) workers gain or lose familiarity with jobs over time based on whether they are assigned or unassigned to the jobs, and (ii) the availability of workers and jobs is stochastic. This problem is motivated by applications in operating room management, where a fundamental challenge is maintaining familiarity across the workforce over time by accounting for heterogeneous worker learning rates and stochastic availability.
...other leading academics as well as private sector leaders and policymakers, the Initiative will build a reputation in a few key areas that are most critical for future economic growth....
In its original conception the Kerr Tar Hub was broadly envisioned as a tech-intensive, locally driven regional park potentially providing a wide variety of infrastructure and service offerings intended to attract and support the location of emergent firms from within selected RTRP targeted industries.
Our goal in this report is to assess the demographic and economic impacts of immigrants or the foreign-born on North Carolina regions, counties, and communities as well as The State as a whole.
American Community Survey data are used to develop typologies of the generational dynamics and living arrangements of the estimated 1.6 million U.S. older adult households who will likely encounter the most difficulty aging in place. Policy recommendations and strategies are offered to address the specific barriers and challenges that must be overcome in order for these older adults to successfully live out their lives in their homes and community.
The scholars presented summaries of their research to a full room at the Kenan Center on Wednesday, December 6. In all, audience members learned about nine projects, from measuring the cost of renewable energy options to determining whether a farm machinery company’s products are suited to the agricultural environment of Zambia.
On January 18-19, 2018, the Frank H. Kenan Institute of Private Enterprise and its affiliated Center for Entrepreneurial Studies will convene a highly curated group of 100 thought leaders to discuss leading-edge research on private business ventures and explore ways to sustain and advance entrepreneurship.
This article examines the capability antecedents of firm entry into nascent industries. Because a firm's technological investments in nascent industries typically occur before market entry, this study makes a distinction between firm capabilities at the time of market entry and at the time of initial investment.
While policies encouraging diffusion of new technologies provide incentives for adopting the focal good, they typically ignore the ecosystem of complementary goods and services. Based on existing literature on indirect network effects, we argue that when there is less availability of complementary goods, policies have a smaller impact on diffusion.
Retail store associates are frontline employees of retail organizations and are responsible for delivering superior in-store experience to its customers. Store associates provide customer service through direct interaction with customers as well as through indirect means such as maintaining a clean store and ensuring that the shelves are fully stocked.
Previous research has used an ego depletion perspective to establish a self-regulatory model linking sleep deprivation to unethical behavior via depletion (Barnes, Schaubroeck, Huth, & Ghumman, 2011; Christian & Ellis, 2011; Welsh, Ellis, Christian, & Mai, 2014). We extend this research by moving beyond depletion to examine a more nuanced, process-based view of self-control.
We develop a theory of innovation waves, investor sentiment, and merger activity based on uncertainty aversion. Investors must typically decide whether to fund an innovative project with very limited knowledge of the odds of success, a situation best described as "Knightian uncertainty."