Dr. Yufeng Han is an associate professor in the Department of Finance. His research interests include empirical asset pricing, investment, mutual funds, and econometrics. He received his Ph.D. from Washington University in St. Louis.
Publication: Liquidity Biases and the Pricing of Cross-Sectional Idiosyncratic Volatility around the World, Yufeng Han, Ting Hu and David A. Lesmond
Published in: Journal of Financial and Quantitative Analysis, 50(6), 1269-1292.
Abstract: This paper examines data from 45 world markets and shows that the previously documented relation between mean returns and idiosyncratic volatility arises because of biases in volatility estimates that we can attribute to the bid–ask bounce in trade prices. We show that no significant relation exists between mean returns and idiosyncratic volatility estimated from quote-midpoint returns. Further, there is no significant relation between mean returns and the portion of transaction-price-based idiosyncratic volatility that is orthogonal to bid–ask spreads. The pricing of idiosyncratic volatility is due to the negative pricing of the bid–ask spread.
Dr. Moutaz Khouja is a professor in the Department of Business Information Systems & Operations Management (BISOM). His research interests include supply chain management, technology selection and evaluation, aggregate planning, inventory management and continuous improvement. He received his Ph.D. from Kent State University.
Dr. Jing Zhou is an associate professor in the Department of Business Information Systems & Operations Management (BISOM). Her research work focuses on issues addressing supply chain management and coordination, production and inventory control, and operations-marketing interface through applications of dynamic optimization approaches and game theory. She received her Ph.D. from the University of Texas at Dallas.
Department: Business Information Systems & Operations Management (BISOM)
Publication: The effect of a temporary product distribution channel on supply chain performance, Moutaz Khouja and Jing Zhou
Published in: Naval Research Logistics
Abstract: We focus on explaining the growth of e-commerce platforms such as Groupon and LivingSocial. To do so, we analyze a supply chain of a manufacturer and two retailers, a permanent retailer who always stocks the manufacturer’s product and an intermittent deal-of-the day retailer who sells the manufacturer’s product online for a short time. We ﬁnd that without a deal-of-the-day (DOTD) retailer, it is suboptimal for the manufacturer to offer a quantity discount while it is optimal for the retailer to offer periodic price discounts to consumers. With the addition of a DOTD retailer, it is likely to be optimal for the manufacturer to offer a quantity discount. We show that even without market expansion, i.e., no exclusive DOTD retailer consumers, opening the intermittent channel can leave the permanent retailer no worse-off while increasing the manufacturer’s proﬁt. We identify the regular and discounted wholesale prices and the threshold quantity at which the manufacturer should give the discount. We also identify the optimal retail prices. We ﬁnd that opening the intermittent channel increases the proﬁt of the manufacturer, is likely to decrease the average retail price and to increase sales, and may increase the permanent retailer’s proﬁt.
Dr. Marcia Watson is an associate professor in the Turner School of Accountancy in the Belk College of Business at UNC Charlotte. Her research focuses on understanding how weaknesses in accounting information systems effect accounting information. She received her Ph.D. in accounting from the University of Texas, Austin.
Department: Turner School of Accountancy
Publication: Senior Executives IT Management Responsibilities: Serious IT-Related Deficiencies and CEO/CFO Turnover, Adi Masli, Vernon J. Richardson, Marcia Weidenmier Watson and Robert W. Zmud
Published in: MIS Quarterly
Abstract: While the information systems scholarly and practice literatures both stress the importance of senior executive engagement with IT management, the recommendations for doing so remain, at best, limited and general. Examining the influence of serious IT-related deficiencies on CEO/CFO turnover within the post-SOX financial reporting context, specific CEO/CFO IT management responsibilities are identified: CEOs are shown to be held accountable for global IT management responsibilities, and CFOs are shown to be held accountable for demand-side IT management responsibilities. Implications for information systems research, management research and information systems practice are provided.
Dr. Lisa Schulkind is an assistant professor in the Department of Economics in the Belk College of Business at UNC Charlotte. Her research focuses on understanding how parents' decisions and circumstances affect their children and using this knowledge in order to make policy recommendations to improve intergenerational mobility. She received her Ph.D. in economics from the University of California, Davis.
Publication: Getting a Sporting Chance: Title IX and the Intergenerational Transmission of Health, Lisa Schulkind
Published in: Health Economics
Abstract: We know that healthier mothers tend to have healthier infants, but we do not know how much of that relationship reflects the intergenerational transmission of genetic attributes versus environmental influences. From a policy perspective, it is crucial to understand which environmental influences are important and whether investments in one generation affect outcomes for the next. Schulkind uses variation in the implementation of Title IX to measure the effects of increased athletic opportunities on the health of infants. Babies born to women with greater athletic opportunities as teenagers have babies that are healthier at birth. They are less likely to be born of low or very low birthweight and have higher Apgar scores.
Dr. Nima Jalali is an assistant professor in the Department of Marketing in the Belk College of Business at UNC Charlotte. His research and teaching interests include social media marketing and analytics, digital marketing, consumer word of mouth, quantitative marketing and Bayesian Modeling. He received his Ph.D. from the University of Wisconsin, Milwaukee.
Recent Publication: The Palette that Stands Out: Color Compositions of Curated Online Visual UGC with Higher Consumer Interaction, Nima Y. Jalali and
Published in: Quantitative Marketing and Economics
Abstract: Photos posted by consumers on social media, like Instagram, often include brands. Despite the substantial increase in such photos, there have been few investigations into how prospective consumers respond to this visual UGC. We begin to address this gap in this research by investigating the role of the color compositions of photos in consumer response. Consumer response is operationalized as the proportion of views by visitors that stimulate clicks to enlarge the photo when it’s curated on the included brand’s website. Composition is operationalized as the specific combination of levels of the photo’s color attributes: hue, chroma, and brightness. Our goal is to identify the color compositions of photos, ceteris paribus, which get more clicks when they are curated. Data for our investigation comes from clicks over a one-year period on photos posted on Instagram curated by fifteen brands in six product categories on their sites. We assume Beta distributed proportions and calibrate a Beta regression using MCMC methods for our investigation. We find that click-rates are higher for photos that include higher proportions of green and lower proportions of red and cyan. We also find that chroma of red and blue are higher in photos with higher click-rates. Findings from our research led the sponsoring firm to modify its proprietary curation algorithm for client brands. The firm informed us that, post-modification, there has been a substantial increase in click-rates of curated photos for brands in several categories.
Dr. George C. Banks is an assistant professor in the Department of Management in the Belk College of Business at UNC Charlotte. His research and teaching interests include strategic human resource management, leadership and team development, ethics, as well as research methods and statistics. He received his Ph.D. from Virginia Commonwealth University.
Recent Publication: Management’s science practice gap: A grand challenge for all stakeholders,George C. Banks, Jeffrey M. Pollack, Jaime E. Bochantin, Bradley L. Kirkman, Christopher E. Whelpley, Ernest H. O’Boyle
Published in: Academy of Management Journal
Abstract: Despite multiple high-profile calls—across decades and from multiple stakeholders—to address the widening gap between science and practice, the relevance of research conducted in the management domain remains in question. To once again highlight this issue and, more importantly, identify solutions, we explore the grand challenge of the science-practice gap by applying stakeholder theory. Using a grounded theory approach, we conducted a series of interviews (n = 38) and a focus group with academics and practitioners (e.g., executives, entrepreneurs, government officials) in order to develop a set of theoretical models and propositions that extend stakeholder theory. We supplemented our inductive theory building approach with a survey of academics (n = 828) and practitioners (n = 939) and a qualitative content analysis to identify 22 grand challenges (i.e., eight shared, eight uniquely academic, and six uniquely practitioner). We discuss the theoretical and practical implications of our findings and illustrate multiple directions for future research to build permanent bonds—not just temporary links—between science and practice.
Dr. I-Hsuan Ethan Chiang has research focus areas that encompass empirical asset pricing, portfolio management and performance evaluation, fixed income securities and financial econometrics. He earned his Ph.D. in finance from Boston College.
Recent Publication: Estimating Oil Risk Factors Using Information from Equity and Derivatives Markets, I-Hsuan Ethan Chiang, W. Keener Hughen, Jacob S. Sagi
Published in: The Journal of Finance
Abstract: The authors introduce a novel approach to estimating latent oil risk factors and establish their significance in pricing nonoil securities. The model, which features four factors with simple economic interpretations, is estimated using both derivative prices and oil-related equity returns. The fit is excellent in and out of sample. The extracted oil factors carry significant risk premia, and are significantly related to macroeconomic variables as well as portfolio returns sorted on characteristics and industry. The average nonoil portfolio exhibits a sensitivity to the oil factors amounting to a sixth (in magnitude) of that of the oil industry itself.
Dr. Kexin Zhao joined the Belk College of Business in 2007 and received her Ph.D. from the University of Illinois at Urbana-Champaign. Her current research focuses on e-business standardization, electronic commerce, and IT audit and controls.
Department: Business Information Systems & Operations Management (BISOM)
Recent Publication: Online Price Dispersion Revisited: How Do Transaction Prices Differ from Listing Prices?, Kexin Zhao, Xia Zhao and Jing Deng.
Published in: Journal of Management Information Systems. Volume 32, Issue 1, 2015.
Abstract: Price dispersion of a homogeneous product reflects market efficiency and has significant implications on sellers’ pricing strategies. Two different perspectives, the supply and demand perspectives, can be adopted to examine this phenomenon. The former focuses on listing prices posted by sellers, and the latter uses transaction prices that consumers pay to obtain the product. However, no prior research has systematically compared both perspectives, and it is unclear whether different perspectives will generate different insights. Using a unique data set collected from an online market, we find that the dispersion of listing prices is three times higher than the dispersion of transaction prices. More interestingly, the drivers of price dispersion differ significantly between listing and transaction data. The dispersion of listing prices reflects sellers’ perception of market environment and their pricing strategies, and it may not fully capture consumer behavior manifested through the variation of transaction prices. Our study indicates that the difference in perspectives taken on the online prices yields different results as to their dispersion.
Dr. Kristin Roland joined the Belk College of Business in 2012 after completing her Ph.D. in accounting at the University of Colorado at Boulder. Dr. Roland's research focuses on financial intermediaries and equity compensation.
Recent Publication: Meeting-or-Beating, Earnings Management, and Investor Sensitivity after the Scandals, Sanghyuk Byun and Kristin Roland-Luttecke.
Published in: Accounting Horizons. December 2014, Vol. 28, No. 4, pp. 847-867.
Abstract: This article contributes to the literature investigating the market reaction to firms’ small positive earnings surprises following the large accounting scandals in the early 2000s. While prior studies provide evidence that the market no longer rewards firms for meeting-or-beating (MBE) in the post-scandal period, their efforts to address the rationality of the market response invite additional analysis. The authors demonstrate that the change in the market reaction to MBE is consistent with temporary over-skepticism. Specifically, the authors show that the market does not differentiate between MBE achieved operationally versus through earnings management, despite previously documented differences in future performance. The authors explore the relationship between MBE, earnings management, and future performance in the post-scandal period and find evidence of mispricing consistent with the market under-reacting to small positive earnings surprises earned by firms that do not appear to have manipulated earnings to MBE. The study provides evidence of a potential market anomaly, which should be of interest to financial managers, researchers, and investors, and speaks to capital market regulation.
Dr. Dmitry Shapiro joined the Belk College of Business in 2006 after completing his Ph.D. at Yale University. He is interested in modeling people's deviations from the predictions of classical economics, and in particular in analyzing them using the experimental methods.
Recent Publication: Microfinance and Dynamic Incentives, D.A. Shapiro
Published in: Journal of Development Economics. Vol. 115 (2015), pp. 73-84.
Abstract: Dynamic incentives, where incentives to repay are generated by granting access to future loans, are one of the basic methodologies used by microfinance institutions (MFIs). As long as a borrower is sufficiently patient, the threat of limiting the borrower’s access to future loans serves as a punishment strong enough to deter the default. In this paper, Shapiro demonstrates limitations of the dynamic incentives methodology despite the presence of sufficiently patient borrowers and full exclusion of defaulters. He develops a model where lenders are uncertain over how much borrowers value future loans, e.g. lenders can be uncertain about borrowers’ outside options. Loan terms are determined endogenously, and loans become more favorable as the probability of default becomes lower. He shows that in all equilibria but one all borrowers, including the most patient ones, eventually default. Thus, contrary to earlier results in the literature, borrowers’ patience does not guarantee loan repayment. Shapiro then considers an extension where borrowers can take loans from several lenders, i.e. double-dipping. Qualitatively, properties of equilibria with and without double-dipping are similar. In absolute terms, when borrowers are credit-constrained double-dipping equilibrium loans have to be more favorable to outweigh increased gains from default.