Cathy Yi-Hsuan Chen Ph.D (陳怡璇)

Cathy Yi-Hsuan Chen is a professor in Finance at Adam Smith Business School in the University of Glasgow since March 2019. Previously she held a professorship in the School of Business & Economics in Humboldt-Universität zu Berlin, and the Mercator Fellow of International Research Training Group 1792 – High Dimensional Non-Stationary Time Series. She is an associate editor of Digital Finance and also Computational Statistics. She is currently heading a special issue on “Machine learning in Finance” in Digital Finance. 

Her research interests include (1) textual analysis in Finance; (2) information distillation from social media; (3) financial technologies and cryptocurrencies; (4) systemic risk in the banking industry.  She has published her research in the Journal of Econometrics, Journal of Business Economics and Statistics, Journal of Banking & Finance, Journal of Empirical Finance and Quantitative Finance.  She had organized the data science conferences such as “A Cambridge-INET and Humboldt-IRTG conference: Text, Herding and Sentiment” 2017.09.12-13, and  29th (EC)2 Conference on “Big Data Econometrics with Applications” in 13-14.12.2018, Roma, Italy.  Her research on systemic risk has been invited by European central bank and German central bank for a seminar talk.

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