We examine the trading behavior of particularly intensive traders, those who contribute the most to daily trading volume, and provide new evidence that is consistent with the presence of informational advantages. Using a unique Chinese data set of the most active daily market participants for each stock, we demonstrate that intensive traders’ buying (selling) predicts large positive (negative) abnormal returns, both unconditionally and, in particular, around key, value-relevant announcements.
We study the microstructure of the U.S. housing market using a novel data set comprising housing search and bargaining behavior for millions of interactions between sellers and buyers. We first establish a number of stylized facts, the most prominent being a nearly 50--50 split between houses that sold below final listing price and those that sold above final listing price. Second, we compare observed behavior with predictions from a large theoretical housing literature.
This paper documents a set of stylized facts about leverage and financial fragility in the non-financial corporate sector in emerging markets since the Global Financial Crisis (GFC). Corporate debt vulnerability indicators prior to the Asian Financial Crisis (AFC) attributed to corporate financial roots provide a benchmark for comparison. The firm-level data suggest that emerging markets post-GFC have lower leverage ratios than the five Asian crisis countries (Asian Five) in the run-up to the AFC.
Although the non-financial corporate sector accounts for the lion’s share of the post-Global Financial Crisis surge in emerging-market leverage, there is little systematic research on factors that impact corporate distress risk in emerging markets. Existing bankruptcy risk models developed using US data have low predictive power when applied to emerging market firms. We suggest that these models do not account for emerging market vulnerabilities to global shocks such as advanced economy monetary policy changes, US dollar movements, or shifts in global liquidity and risk-aversion.
This paper presents the development, validation, and implementation of a data-driven optimization model designed to dynamically plan the assignment of anesthesiologists across multiple hospital locations within a large multi-specialty healthcare system. We formulate the problem as a multi-stage robust mixed-integer program incorporating on-call flexibility to address demand uncertainty. The optimized dynamic staffing plan has been successfully implemented in the University of Pittsburgh Medical Center healthcare system, leading to estimated annual cost savings of 12\% compared to current practice, or about \$800,000 annually.
We investigate the spatial dependence between commercial and residential mortgage defaults. A new class of observation-driven frailty factor models is introduced to do so. The idea of dynamic parameters embedded in the class of GAS models is utilized to estimate dynamic models of default risk with potentially multiple factors which are driven by stratified grouping of large panels of mortgage loan records. The score dynamics in the models is driven by so-called generalized residuals, and have therefore a fairly intuitive interpretation of ARMA-like dynamics. The proposed models are computationally easy to implement and therefore attractive in big data applications, something that gives them a considerable advantage in comparison to the typical latent factor frailty models proposed in the literature.
Wall Street Journal Pro columnist Luis Garcia highlighted the newly announced Private Equity Research Consortium and Burgiss data partnership and how it will reshape the debate surrounding private equity.
Prevailing data suggests that young firms pay employees less than their more mature counterparts. But does a closer look at the data tell a different story?
We apply advances in analysis of mix frequency and sparse data to estimate “unsmoothed” private equity (PE) Net Asset Values (NAVs) at the weekly frequency for individual funds. Using simulations and a large sample of buyout and venture funds, we show that our method yields superior estimates of fund asset values than a simple approach based on comparable public asset and as-reported NAVs.
Many business-to-business (B2B) selling situations involve outside sales (OS) representatives (reps) interfacing with customers and inside sales (IS) rep largely supporting OS reps. Put differently, OS reps are linchpins, while IS reps generally have auxiliary roles. Perhaps for this reason, the economic value of IS reps for the B2B IS-OS selling process has received little systematic investigation. The authors propose an approach that quantifies the incremental value of IS using observational data that are commonly available in organizational customer relationship management systems.
The widespread adoption of technological advances has made the move to working from home during the COVID-19 pandemic a success. In this Kenan Insight, we look at why the switch was such a win, its impact on worker productivity, and what it means in the long term for workers, office spaces and cities.
U.S. President Donald Trump’s administration has recently ramped up efforts to keep immigrants from entering the country and force out some who are already here – arguing these to be necessary measures to contain the spread of COVID-19 and protect American jobs. However, in this Kenan Insight, we summarize why these policies risk having exactly the opposite effect, harming the future health, social well-being and economic viability of our nation.
Mark Little, executive director of the Frank Hawkins Kenan Institute for Private Enterprise, was named to the North Carolina Policy Collaboratory Advisory Board on Feb. 7. Little brings to the board an international background in environmental and earth science, policy analysis and renewable energy.
New research published by Chris Bingham and fellow researchers Susan L. Cohen and Benjamin L. Hallen in the Administrative Science Quarterly disputes conventional start-up wisdom and explores how widely accepted practices might actually hinder entrepreneurs’ success.
The US Brain Research through Advancing Innovative Neurotechnologies Grand Challenge and the EU Human Brain Project Future and Emerging Technologies Flagship, though seemingly similar in many dimensions, have distinct features that have been shaped by politics and institutional systems. This article documents the history of the two projects and compares their organization and funding mechanisms.
In academia, citations received by articles are a critical metric for measuring research impact. An important aspect of publishing in academia is the ability of the authors to navigate the review process and despite its critical role very little is known about how the review process may impact the research impact of an article.
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.
Older adults prefer to age in their homes rather than in an institution. However, in order to successfully age in place, age-friendly modifications are usually necessary to prevent life-threatening accidental falls and exposure to other environmental risks or hazards that unfortunately are all too common among older adults living in their own homes today.
The list of stores that have closed or gone bankrupt in 2020 reads like a “who’s who” of venerable retail giants. Although retailing has been experiencing tectonic shifts for several years, the COVID-19 pandemic has accelerated both challenges and opportunities. In this Kenan Insight, we explore four major trends in retail, with a particular focus on food retailing.