Please join us for an exclusive conversation with Hershey's Chairman of the Board, President and CEO Michele Buck on Wednesday, April 8. This virtual experience is part of the Dean’s Speaker Series, hosted by UNC Kenan-Flagler Business School Dean Doug Shackelford.
George Floyd's murder caused many firms to reveal how exposed they are to racial diversity issues. We examine investor and firm behaviors after this socially significant event to provide evidence on the valuation effects of the exposure and ensuing corporate responses. We develop a text-based measure of a firm's exposure to racial diversity issues from conference call transcripts and find that, after the murder of George Floyd, firms with diversity exposure experience a stock price decrease of approximately 0.7% around the date of the conference call. We provide evidence that this effect is attributable to race-related exposure and not gender-related exposure. Initiatives taken by firms mitigate the negative market reaction.
Commercial real estate is a major asset class, with an estimated value of more than $12 trillion in the U.S. alone. But the stay-at-home orders and business closures precipitated by the COVID-19 pandemic have the potential to negatively – and disastrously – affect commercial properties. What will the short- and long-term impacts be, which types of properties will be hardest hit and what policies can be put in place to help stem the tide of losses? UNC Kenan-Flagler Business School Professor and Leonard W. Wood Center for Real Estate Studies Faculty Advisor Andra Ghent and her colleagues examine these issues in this week’s Kenan Insight.
The long-term upward trend in Hong Kong's housing price and its ever-increasing price-rent ratio has caused extensive concern from investors and researchers. Dynamic Gordon Model ties an asset's worth to the expected value of the future payoff stream accruing to the asset, and it has been widely used in the literature on finance and real estate asset. As far as we know, this model has not been applied to the research on the Hong Kong real estate market. In this paper, we used this model to analyze the quarterly date of Hong Kong housing prices and other economic indicators from 1999 to 2019.
In this paper, we build up a portfolio in the Chinese residential real estate market. We separate 35 big cities in China into 3 groups with different criteria. Then we build portfolios for these groups, by comparing the efficient frontier and Sharpe ratio with the portfolio of full samples. We find out the most suitable criteria to be the Real Housing Price Increase Rate.
In this paper, we apply the ARMA-GARCH model to Hong Kong real estate market. We analyzed the monthly data of housing, office retail and factories from February 1993 to February 2019. The result of ARCH LM test indicates that volatility clustering is shown in there four kinds of real estate. The price volatility of housing is influenced by foreign exchange rate, especially the USD exchange rate. The commercial real estate market shows different, they are all influenced by unemployment. All these real estate shows limited inflation hedging ability in a short period. The result of the EGARCH model shows there were no asymmetric effects in the real estate market.
We examine the effect of pay transparency on gender pay gap and firm outcomes. This paper exploits a 2006 legislation change in Denmark that requires firms to provide gender disaggregated wage statistics. Using detailed employee-employer administrative data and a difference-in-differences and difference-in-discontinuities designs, we find the law reduces the gender pay gap, primarily by slowing the wage growth for male employees.
In this paper, we build on research on the microfoundations of strategy and learning processes to study the individual underpinnings of organizational learning. We argue that once an individual has accumulated a certain amount of experience with a task, the benefit of accumulating additional experience is inferior to the benefit of deliberately articulating and codifying the experience accumulated in the past.
This paper examines corporations’ actions, and statements about actions, following the tax law change known as the Tax Cuts and Jobs Act (TCJA). Specifically, we examine four different outcomes—bonuses (or other actions that benefit workers), announcements of new investments, share repurchases, and dividend announcements.
What makes an asset institutional-quality? This paper proposes that one reason is the existing concentration of delegated investors in a market through a liquidity channel.
In this paper, we develop a sociodemographic profile of the most vulnerable African American older adult households. To do so, we draw data from the 2011–15 American Community Survey, which contains linked housing and person records for a 5 percent sample of U.S. population. This dataset literally allows us to peer inside of African American older adult households and in the process identify the major barriers or obstacles to aging in 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. We will welcome João Doriguello, from the National University of Singapore to share his least squares Monte Carolo algorithm.
We empirically investigate the effect of uncertainty on corporate hiring. Using novel data from the labor market for MBA graduates, we show that uncertainty regarding how well job candidates fit with a firm’s industry hinders hiring and that firms value probationary work arrangements that provide the option to learn more about potential full-time employees.
Immigrants are once again the targets of draconian policymaking. It is during the COVID-19 pandemic this time. Through a series of presidential proclamations and other executive branch maneuvers, the Trump Administration is attempting to leverage a host of so-called migration management tools to ban entry and force some immigrant to leave the country—all under the guise of containing the spread of the coronavirus and protecting American jobs.
How individuals manage, organize, and complete their tasks is central to operations management. Recent research in operations focuses on how under conditions of increasing workload individuals can increase their service time, up to a point, in order to complete work more quickly.
We study how an improvement in contracting institutions due to the 1999 U.S.-China bilateral agreement affects U.S. firms’ innovation. We show that U.S. firms operating in China decrease their process innovations—innovations that improve firms’ own production methods—following the agreement.
We derive cross-sectional implications of a capital gains tax rate change on the risk-return tradeoff on stock investment and show that stocks with higher accrued capital gains experience a larger risk-return tradeoff improvement after a capital gains tax rate cut. Stocks with higher dividend yields experience a larger increase (decrease) in the risk-return tradeoff when the dividend tax penalty effect dominates (is dominated by) the effect of reduced dividend yield associated with the capital gains tax cut.
The Triangle Business Journal recently ranked Triangle-based, publicly-held life sciences companies by their most recent annual revenue growth. Greg Brown, Kenan Institute director, helped compile the data, which focused on companies with at least $200 million in assets and 30 or more employees.
The 2022 Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel was awarded to Ben S. Bernanke, Douglas W. Diamond, and Philip H. Dybvig “for research on banks and financial crises”. This article surveys the contributions of the three laureates and discusses how their insights have changed the way that academics and policymakers understand banks and their roles in financial crises.