The 1952 mean–variance theory of Markowitz indicates that large investment portfolios naturally provide better risk diversification than small ones. However, due to parameter estimation errors, one may find ambiguous results in practice. Hence, it is essential to identify relevant stocks to alleviate the impact of estimation error in portfolio selection.
In partially linear model selection, Professor Chih-Ling Tsai and co-authors Hua Liang from the University of Rochester and Hansheng Wang from Peking University develop a profiled forward regression (PFR) algorithm for ultrahigh dimensional variable screening. The PFR algorithm effectively combines the ideas of nonparametric profiling and forward regression.
A critical question in the policy debate about payday lending is whether other financial institutions can plausibly provide attractive and lower‐priced substitutes for standard payday loans. In this study, Professor Victor Stango presents several new pieces of evidence addressing the question, focusing on whether credit unions, which are often held as the strongest potential competitors to payday lenders, might viably compete in the payday loan market.
It is well known that in markets such as restaurants, films and books, critics directly shape market outcomes by guiding consumers’ attention and purchase decisions through their assessments of product quality. Less understood is how critics influence the decision-making and behavior of producers.
The supplier’s problem of designing a quantity discount schedule is much more complicated when she faces customers who vary in size. This article by Associate Professor Rachel Chen and co-author Lawrence W. Robinson from Cornell University considers both all-unit and incremental discount schedules with multiple breakpoints that maximize the supplier’s net savings.
In this paper, Assistant Professor Renna Jiang and co-authors Puneet Manchanda from the University of Michigan Ross School of Business and Peter E. Rossi from the UCLA Anderson School of Management present a Bayesian approach for analyzing aggregate level sales data in a market with differentiated products.
The recent withdrawal of Cox-2 Inhibitors has generated debate on the role of information in drug diffusion: can the market learn the efficacy of new drugs, or does it depend solely on manufacturer advertising and FDA updates?
In this study, Assistant Professor Renna Jiang and co-authors Pradeep K. Chintagunta from the University of Chicago and Ginger Z. Jin from the University of Maryland use a novel data set to study the role of learning in the diffusion of three Cox-2 Inhibitors—Celebrex, Vioxx and Bextra—before the Vioxx withdrawal.
UPDATE: Andrew Barkett is leaving his post as senior engineer at Facebook to bring his decade of experience in Silicon Valley to become the first-ever chief technology officer for the Republican National Committee.The June 4 announcement has stirred a whirlwind of media coverage, including the Huffington Post and Washington Post.Bark
Agilent Technologies’ Electronic Measurement Group is a $3.6 billion business that over the past decade has seen a dramatic shift in its customer base from U.S., and Western European customers to predominantly Asia-based customers. Today, the majority of the division’s revenues are generated outside of the U.S., with an increasing concentration in China.
(Davis, CA) — The UC Davis Graduate School of Management’s full-time MBA program has been ranked among the top six percent of AACSB International-accredited programs nationwide, according to U.S. News & World Report’s latest graduate business school rankings released today.