Kevin Huang ('22)
Assistant Professor, CUHK-Shenzhen
Noncompliance with SEC Regulations: Evidence from Timely Loan Disclosures
Professor Chris Tang, prolific researcher in Management and Operations, with Rob Richmond, researcher in foreign currency investment.
"On behalf of our faculty, thank you for visiting the UCLA Anderson Ph.D. program! If you're serious about advancing our understanding of business disciplines through rigorous research, I invite you to explore everything our Ph.D. program has to offer. You'll have the opportunity to train with world-renowned scholars and alongside the next generation of researchers. In that pursuit, you will have UCLA's resources and strengths as a world-class research institution available to you."
Join us as we expand the boundaries of business knowledge. Apply to become one of tomorrow's leading scholars today.
Professor Stephen Spiller
Associate Dean and Director
Ph.D. Program
UCLA Anderson School of Management
Kevin Huang ('22)
Assistant Professor, CUHK-Shenzhen
Noncompliance with SEC Regulations: Evidence from Timely Loan Disclosures
Jon Bogard ('22)
Assistant Professor, Washington University in St. Louis
Target, distance, and valence: Unpacking the effects of normative feedback
Nur Kaynar Keles ('22)
Assistant Professor, Cornell
Discovering Causal Models with Optimization: Confounders, Cycles, and Feature Selection
Geoff Zheng ('20)
Assistant Professor NYU Shanghai
Growth Options, Incentives, and Pay for Performance: Theory and Evidence
Sebastian Ottinger ('21)
Assistant Professor CERGE-EI
The Political Economy of Propaganda: Evidence from US Newspapers
Daniel Walters ('17)
Assistant Professor INSEAD
Investor memory of past performance is positively biased and predicts overconfidence
Marissa Sharif (’17)
Assistant Professor of Marketing at the Wharton School
The Effect of Categorization on Goal Progress Perceptions and Motivation
Marco Testoni ('19)
Assistant Professor Tilburg University
The market value spillovers of technological acquisitions: Evidence from patent-text analysis