Empirical Analysis of Financial Markets

Overview

Financial markets serve the important function of transferring risk across individuals and over time, and they provide information on the performance of firms and economies. As such their effective performance is of great interest to policymakers, pension holders, and consumers, yet recent events have created profound mistrust about their operation. The theme brings together researchers working on fundamental methodological issues that can help provide evidence on the functioning of financial markets. We have several projects concerned with market microstructure, about how the trading environment impacts the outcomes for long term investors and policy makers. Does the presence and use of advanced technology improve or degrade outcomes for pension funds and retail investors? What is the best way of measuring volatility with a view to comparisons across markets and across time? Does the presence of market stabilisation mechanisms such as circuit breakers reduce the potential for nonlinear feedback loops and volatility spillovers across securities and markets? Speed is one aspect of current financial markets, but big data is another. The vast databases and the improved hardware and software environments mean that the research cutting edge is constantly being redefined to take account of the better possibilities for evidentiary analysis. We have several projects and researchers who are at the forefront of this work.

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Moqin Zhou

Moqin Zhou

PhD Candidate
Center for Statistical Science, Tsinghua University
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Dr Chen Wang

Dr Chen Wang

Assistant Professor in Department of Statistics and Actuarial Science, The University of Hong Kong.
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Eric Ghysels

Prof. Eric Ghysels

Professor of Economics at the University of North Carolina at Chapel Hill and Professor of Finance at the Kenan-Flagler Business School