BIOGRAPHY

Claudia Moise is a Visiting Scholar in the Finance Department at the New York University, Leonard N. Stern School of Business. Her research interests are in market design, macro finance, regulations of financial markets, and big data. In her work, she has linked financial volatility to flights to safety and monetary policy; has developed a real-time measure of illiquidity that stems from frictions that reflect slow-moving arbitrage capital; has assessed the effect of new financial regulation on market quality and has proposed refinements to the existing market design to alleviate unintended effects; and has proposed behavioral explanations for some of the existing asset pricing anomalies.

Claudia has held academic positions at the University of North Carolina at Chapel Hill, Duke University, the University of Maryland, and Case Western Reserve University. She was also a financial economist in the Division of Economic and Risk Analysis (DERA) at the U.S. Securities and Exchange Commission, where she provided economic support for various market structure initiatives such as dark pools’ increased transparency, broker/dealer’s order routing and execution disclosure, and the designation of a new listing exchange, among others, and served as the DERA delegate for the Limit Up-Limit Down Operating Committee, and for the Market Quality Subcommittee of the Executive Market Structure Advisory Committee. Prior to earning her Doctorate, Claudia worked as a consultant for PGA Funds/CBOT and for the Fixed Income Quantitative Research Department at Deutsche Bank/Zurich Scudder, where she developed models for portfolio allocation and risk assessment. She also worked in quantitative marketing research for Information Resources, and as a statistician for Abbott labs, and for the Romanian National Institute of Statistics.

Claudia holds a Bachelor’s and Master’s degrees in Mathematics from the University of Bucharest, a Master’s degree in Statistics from the University of South Carolina, and an MBA and Doctorate in Finance and Econometrics from the University of Chicago Booth.