Professor Sung Hoon Choi’s recent article titled “Large Global Volatility Matrix Analysis Based on Observation Structural Information” has been accepted for publication in Econometric Theory, one of the leading scholarly journals in theoretical econometrics.
Abstract
In this paper, we develop a novel large volatility matrix estimation procedure for analyzing global financial markets. Practitioners often use lower-frequency data, such as weekly or monthly returns, to address the issue of different trading hours in the international financial market. However, this approach can lead to inefficiency due to information loss. To mitigate this problem, our proposed method, called Structured Principal Orthogonal complEment Thresholding (Structured-POET), incorporates observation structural information for both global and national factor models. We establish the asymptotic properties of the Structured-POET estimator, and also demonstrate the drawbacks of conventional covariance matrix estimation procedures when using lower-frequency data. Finally, we apply the Structured-POET estimator to an out-of-sample portfolio allocation study using international stock market data.
Huari’s research interests are in asset pricing, financial econometrics, macro finance, and machine learning. At Sewanee, she teaches the courses, Investment Finance, Derivatives and Fixed Income Securities, Financial Modeling, and Financial Engineering.
Current UConn PhD students, do reach out to Huari and Tao for advice on building a successful academic career at a liberal arts college.
Anastassiya Karaban presented her paper, “The role of gender comparisons in determining reference wage and labor supply.” She finds that when people make different wages, we choose to compare our wage to others of the same gender. Women work harder when making more than other women (but not when making more than other men). Men work less hard if they are making less than another man (but not if they are making less than a woman).
Victor Volkman presented his paper, “Race and experimental design: How respondents may read context into a neutrally framed scenario.” Traditionally, economics experiments have participants engage in “context free” simulated economic transactions. Victor examines whether such absence of context can affect individuals differently based on their racial backgrounds. He finds evidence that different racial groups interpret context-free scenarios differently, and thus their actions are not directly comparable.
The University of Connecticut’s Center for Career Development is excited to 
