The argument that ESG investing generates more stable and higher long-term returns has come under scrutiny, including recent data showing long-run underperformance of ESG funds over the past five years. In this Kenan Insight, we provide some clarification based on recent research that revisits fundamental questions: why and how some investors take ESG factors into account in the first place.
This year Rethinc. Labs joined the Duke Quantum Center and the IBM Quantum Hub at NC State to bring their Financial Services focus to the Triangle Quantum Computing Seminar Series. For our next discussion we welcome Dylan Herman, from the JPMorgan Chase Future Lab for Applied Research and Engineering (FLARE). The focus of the FLARE quantum program is to develop quantum algorithms for financial applications and quantum-resistant cryptographic solutions.
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.
AI applications are ubiquitous – and so is their potential to exhibit unintended bias. Algorithmic and automation biases and algorithm aversion all plague the human-AI partnership, eroding trust between people and machines that learn. But can bias be eradicated from AI? Dr, Fay Cobb Payton, Professor of Information Systems & Technology at NC State’s Poole College of Management and a Program Director at the National Science Foundation in the Division of Computer and Network Systems moderates a discussion between Timnit Gebru, research scientist and the co-lead of the Ethical AI Team at Google and the co-founder of Black in AI; Brenda Leong, senior counsel and director of artificial intelligence and ethics at the Future of Privacy Forum; Professor Mohammad Jarrahi, associate professor at UNC’s School of Information and Library Science; and Chris Wicher, Rethinc. Labs AI Research Fellow, former director of AI Research at KPMG’s AI Center of Excellence and Vice President of Watson Engineering at IBM.
The COVID-19 pandemic has put 18 million jobs at small businesses in the U.S. at risk – which could as much as quadruple the nation’s total unemployment rate. The effects of both the coronavirus and recent government relief programs were explored by a panel of Kenan Institute-convened experts during a press briefing held yesterday. The full recording of this briefing—along with a deeper-dive analysis on the specific implications of the financial downturn on small business employment by Kenan Institute Research Director Professor Christian Lundblad and UNC Kenan-Flagler Business School Professor Paige Ouimet—is available in this week’s Kenan Insight.
One of the long-standing damages of institutional racism in the United States has been a bleak economic outlook for African Americans. In this Kenan Insight, we ask whether today’s activism might prove to be a defining moment in turning the tide for Black economic futures, and if so, who will play the key roles in creating lasting change.
Founder and Research Director, Institute for Private Capital; Van and Kay Weatherspoon Distinguished Professor of Finance, UNC Kenan-Flagler Business School; Faculty Director, Luther Hodges Scholars
Operational systems increasingly rely upon specialized experts who can provide high-quality service. However, these experts, by definition, only address one part of an overall problem and so individuals are needed to coordinate the overall service provision. In many services, this coordination responsibility may be shared across multiple parties serving in the role of a gatekeeper.
A pooled Public Use Microdata Sample File of the Census Bureau’s Annual American Community Survey (2011-2015) is used to (1) create a demographic profile of the nation’s older adult population; (2) develop an older adult household typology which encapsulates both generational dynamics and diverse living arrangements; and (3) identify older adults who face the greatest barriers to aging in place. Policies and strategies that support and facilitate successful aging in place for the most vulnerable older adults are discussed.
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.
Older adults will drive U.S. population growth over the next quarter century. Projected to grow four times as fast as the total population, older adults will make up of 22 percent of the population in 2040, up from 15% in 2015. We believe this population aging can be a new engine for innovation, business development, and employment growth in the U.S.
On October 27, 2017 the Frank H. Kenan Institute of Private Enterprise (Kenan Institute) hosted The Business of Healthcare: Adapting to an Aging Economy at UNC Kenan-Flagler Business School in Chapel Hill, North Carolina. The conference brought together more than 100 attendees representing the diverse interests and perspectives of health care and elder care organizations, medical and pharmaceutical companies, patient advocacy organizations, government agencies and the academic research sector.
This research brief uses data from the 2014-2015 Internal Revenue Service (IRS) migration file to quantify the dividend North Carolina receives from recent movers to the state. We calculate the dividend as the differences in per capita adjusted gross income from those who moved to North Carolina (in-migrants) relative to those who were already living in the state (non-migrants) and relative to those who moved from the state (out-migrants). The dividends from migrants ages 55 and older, especially those settling in eight migration magnet counties (Mecklenburg, Wake, Durham, Buncombe, New Hanover, Brunswick, Cabarrus, and Johnston), are significant. This migration constitutes a strategic opportunity for both business development and job creation in North Carolina communities.
We use US Census administrative data to document important facts about wages at entrepreneurial firms. As in earlier studies, we confirm lower average wages at new firms. However, nearly two thirds of this decline can be attributed to differences in worker quality at new firms. Moreover, once we control for firm fixed effects, absorbing time invariant firm quality, the wage difference between new and established firms further declines.
In this paper, we seek to better understand how executives can intelligently combine modular and integrated problem solving processes to form the best possible strategy in entrepreneurial environments. To do so, we compare the efficacy of strategies formed via different processes under various market conditions, exploring the sources of significant performance differences. We address this question using NK simulation methods.
Extant literature highlights the importance of specific choices such as pricing and particular strategieslike “get big fast” for strategy in two-sided markets. Yet it leaves open how executives form a viable strategy in entrepreneurial settings, particularly when buyers, sellers, and product may be uncertain. With an inductive case study of 8 two-sided marketplace ventures in multiple industries, we developa theoretical framework that describes how entrepreneurs address this challenge: by focusing on successive strategic domains, beginning with supply.
This study, sponsored by the Frank Hawkins Kenan Institute of Private Enterprise and the Kenan-Flagler Energy Center, analyzes the economic cost of renewable energy’s ‘last frontier’, providing reliable baseload power. The analysis utilizes five financial and energy models to examine the cost of replacing baseload power with various energy sources to achieve fully decarbonized utility scale electricity generation.
This research brief will (1) provide a background on new regulations that are driving the need for better data mining processes and tools, (2) describe the cargo screening and supplier validation process to illustrate the potential application of data mining, and (3) summarize current developments and research challenges in data mining for cargo security.
The investigations following the attacks of September 11, 2001, showed that our ability to verify a person’s identity is crucial to our national security. As pointed out by The 9/11 Commission Report (National Commission on Terrorists Attacks Upon the United States, 2004), travel documents are as important as weapons for terrorists. To carry out an attack on American soil, foreign terrorists must cross our borders—which requires passing an identification screening. A valid passport also allows a terrorist to obtain other valid documents (e.g., driver’s license, credit cards, health insurance card) that are important to performing normal life activities while maintaining a low profile and avoiding detection. Four projects, currently in different stages of implementation, use Radio Frequency Identification (RFID) or Machine-Readable Zones (MRZ) technologies for verification and validation of identity in the United States. These programs are (1) e-Passport, (2) PASS Card, (3) Real ID, and (4) Enhanced Driver’s License. The use of RFID enables data to be stored electronically in chips embedded in identification documents and shared quickly in digital format by law enforcement personnel. Documents with RFID chips and a secure networking environment to exchange data are deemed more secure and less prone to counterfeiting than conventional, non-electronic documents. However, there is still debate about how to best balance the security benefits from RFID-enabled identification documents with concerns about privacy.
Most Americans purchase food for their family’s dinner table with a high level of assurance that the food is safe. However, recent contaminations have brought into sharp focus gaps in our current food safety system and drawn attention to needed changes.