The Small Business Investor Alliance surveyed the small business portfolios of Small Business Investment Companies to measure the impact the pandemic is having on their operations and employment. Small businesses are facing extreme cash flow concerns. Small businesses are already laying off a substantial number of employees and without a significant change in trajectory, layoffs are anticipated to increase tremendously. Data analysis provided by the Kenan Institute of Private Enterprise.
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.
We examine firm disclosure choice during the initial public offering (IPO) roadshow presentation to understand the informativeness of a management presentation designed to attract investors. Although firms submit a comprehensive registration filing during the IPO, managers also prepare a roadshow presentation, which is shorter and typically allows managers more autonomy to select the information released and how it is discussed. We find that IPO roadshows have significantly more positive, less negative, and less uncertain language than the SEC filing.
We examine the period over which banking authorities discussed, adopted, and implemented Basel III to understand whether, when, and how firms respond to proposed regulation. We find evidence to suggest that the affected banks not only lobbied rule makers against it, but these banks also made strategic financial reporting changes and altered their business models prior to rule makers finalizing the regulation.
This study examines the antecedents and consequences of knowledge sharing and monitoring based governance strategies on emissions reduction. We theorize, and empirically test, the impact of supply base diversity in industry and geographic locations on the governance strategy choices. We find that sector and regional diversity both have a significant impact on emissions reduction strategies, yet their direct and interactive impacts are different. Regarding consequences, we find that engaging suppliers is associated with GHG emissions reduction for both buyers and suppliers.
As live streaming of events (e.g., video games, political commentary, and makeup tutorials, among others) gains traction, pay-what-you-want (PWYW) pricing strategies are emerging as critical monetization tools. In this research, we assess the viability and efficacy of PWYW by examining the relationship between popularity (i.e., audience size) of a live streaming event and the revenue it generates under a PWYW scheme.
We use detailed establishment-level data to understand whether and how the composition of the US stock market differs from the composition of US firms as a whole. Although the locational composition of employment in public firms is similar to that of all US firms, we find certain industries significantly overrepresented. Further, the gap between the industrial composition of publicly traded firms and all US firms has grown over the last thirty years.
Using a novel dataset on global private equity investments in 19 industries across 52 countries, we find that labor productivity, employment, profitability, and capital expenditures increase for publicly-listed companies in the same country and industry as private equity investments. Our results show that positive externalities created by private equity firms are absorbed by other companies within the same industry.
In stark contrast with liquid asset returns, I find that commercial real estate idiosyncratic return means and variances do not scale with the holding period, even after accounting for all cash flow relevant events. This puzzling phenomenon survives controlling for vintage effects, systematic risk heterogeneity, and a host of other explanations. To explain the findings, I derive an equilibrium search-based asset-pricing model which, when calibrated, provides an excellent fit to transactions data.
We provide an innovative methodological contribution to the measurement of returns on infrequently traded assets using a novel approach to repeat-sales regression estimation. The model for price indices we propose allows for correlation with other markets, typically with higher liquidity and high frequency trading. Using the new econometric approach, we propose a monthly art market index, as well as sub-indices for impressionist, modern, post-war, and contemporary paintings based on repeated sales at a monthly frequency. The correlations enable us to update the art index via observed transactions in other markets that have a link with the art market.
Scholars continue to debate whether voice and silence are opposites or distinct constructs. This ambiguity has prevented meaningful theoretical advancements about employees’ voice and silence at work. We draw on the behavioral activation and behavioral inhibition systems perspective to provide a conceptual framework for the independence of voice and silence and explicate how two key antecedents—perceived impact and psychological safety—more strongly relate to voice and silence, respectively. We further differentiate voice and silence by identifying their unique effects on employee burnout.
Speed is often critical for successful commercialization of a new technology, and patents help entrepreneurs secure funding, enter the market, and avoid expropriation of their ideas. In this article, we employ a recent change to U.S. patent law—the introduction of an elective program accelerating patent examination—to investigate the role of patent examination speed in strategic entrepreneurship.
The authors provide an overview of the main accomplishments of private equity since the emergence of leveraged buyouts in the 1980s, and of the challenges now facing the industry—challenges that have been encountered before during three major growth waves and two full boom-and-bust cycles.
This article presents tests for the existence of common factors spanning two large panels/groups of macroeconomic and financial variables, and the estimation of common and group-specific factors. New analytical results are derived regarding (i) the difference in the asymptotic distribution of the test statistics when aggregating the data first and then extracting the principal components (PCs), or vice versa, as well as (ii) the estimation of the common factor and its asymptotic distribution, extending the work of Andreou et al. (2019).
Adopting a justice enactment perspective, we explore managers' consistent versus inconsistent application of existing rules in allocation decisions. We propose that when managers form friendship relationships with their employees, they are likely to experience greater tensions when fulfilling their managerial duties as resource allocators. On the one hand, managers may wish to deviate from the rules to benefit an employee who is also a friend. On the other hand, benefiting one employee (but not others) might lead to tensions in managers' friendships with other employees.
When employees use public settings such as team meetings to engage in voice—the expression of work ideas or concerns, they can spur useful discussions, action planning, and problem solving. However, we make the case that managers, whose support is essential for voice to have a functional impact, are averse to publicly expressed voice and prefer acting on voice that is privately brought up to them in one-on-one settings.
In times when elevated government debt raises concerns about dimmer global growth prospects, we ask: How can the government provide incentives for innovation in a fiscally sustainable way? We address this question by examining the Ramsey problem of finding optimal tax and subsidy schemes in a model in which growth is endogenously sustained by risky innovation.
We present preliminary work to construct a knowledge curation system to advance research in the study of regional economics. The proposed system exploits natural language processing (NLP) techniques to automatically implement business event extraction, provides a user-facing interface to assist human curators, and a feedback loop to improve the performance of the Information Extraction Model for the automated parts of the system.