Welcome to Nan Zhang's Homepage

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Brief bio: Dr. Zhang was born in Beijing, China. He is a professor of statistics in the Faculty of Economic Sciences, Hiroshima Shudo University, Japan. He received his Master' degree from Capital University of Economics amd Business, China in 1988. After that, He came to Japan as a graduate research associate in 1989, studied in the Institute of Economic Research at Kyoto University, and received Ph.D degree in 1993 from Ritsumeikan University, Japan. From April 1995 to March 1997, he worked as an associate professor at the Faculty of Commercial Sciences, Hiroshima Shudo University, Japan. In April 1997, he obtained professorship at the Faculty of Economic Science, Hiroshima Shudo University, Japan. He was a Visiting Scholar in East Asian Institute at Columbia University in the city of New York from 2001 until 2002. He also as a Visiting Scholar has ever worked in the Department of Statistics at University of California, Berkeley from 2007 to 2008, and the Department of Statistics at Stanford University from 2014 to 2015. His research focuses on Global Flow of Funds Analysis, Financial Econometrics, Economic Statistics and Monetary & Financial Statistics. Professor Zhang is a special research fellow of the Research Center for Finance and Securities at Peking University, and he also is a consulting fellow of the Research and Statistics Department of the People's Bank of China. In 2008, he was named Technical Assistance Expert of the Statistics department of the IMF. At Hiroshima Shudo University he teaches Statistics, Economic Statistics, and Financial Econometrics. He is a member of the Japan Statistical Society, Japan Society of Economic Statistics, The Japanese Association of Financial Econometrics and Engineering, Japan Society of Monetary Economics, The Japan Society of International Economics, The Global Finance Association , The International Association for Research in Income and Wealth, The American Economic Association, The International Association for Official Statistics and The Society for Economic Measurement