Speaker: Yin-Wong Cheung (Zhang Xianwang), Professor, Department of School of Economics and Finance, City University of Hong Kong, Hong Kong

Date: Apr. 18, 2019

Time: 2:00-3:30 pm

Venue: 215 Lecture Hall, Block B, Zhixin Building, Central Campus

Sponsor: the School of Economics

Abstract:

We conduct a meta-regression analysis of 69 studies that generated 937 renminbi (RMB) misalignment estimates. The Bayesian Model Averaging (BMA) approach is adopted to allow for model selection and sampling uncertainties in assessing effects of study characteristics on these RMB misalignment estimates. Misalignment estimates are found to be influenced by the eight selected study characteristic types in our median probability model. The RMB misalignment estimate from models with various hypothetical combinations of study characteristics, however, is mostly insignificantly different from zero. It is also shown that the set of significant study characteristics is sensitive to the use of the least squares estimation method and the choice of benchmark study characteristics.

Bio:

Prof. Yin-Wong Cheung obtained his Ph.D. from the University of Pennsylvania in 1990. He is currently the Hung Hing Ying Chair Professor of International Economics, Department of Economics and Finance, City University of Hong Kong. Concurrently, Cheung is member of the Council of Advisers, HKIMR/HKMA, a Research Fellow of the CESifo in Germany, a founding and board member of the Methods in International Finance Network in Europe, and a Chair Professor of the Shandong University. Cheung's areas of research include econometrics, applied econometrics, exchange rate dynamics, asset pricing, output fluctuation, and economic issues in Asian Economies. His research results have been published in over 100 refereed articles, which appeared in more than 40 academic journals including Econometric Theory, Game and Economic Behavior, Journal of Business & Economics Statistics, Journal of Econometrics, Journal of International Economics, and Journal of Finance.

For more information, please visit: 

http://www.view.sdu.edu.cn/info/1020/116450.htm

Edited By Xiong Shengyue