Professor Cathy Yi-Hsuan Chen
- Professor of Finance (Accounting & Finance)
Cathy Yi-Hsuan Chen joined the Adam Smith Business School in March 2019, as Professor in Corporate Finance and Banking. Previously she held a position at the School of Business & Economics in Humboldt-Universität zu Berlin, and Mercator Fellow of International Research Training Group 1792. Her recent work has focused on the intersection of technology, data science, and finance. She is the principal investigator of FinTech Action founded by the European Cooperation in Science and Technology. She has been nominated as a Management Committee substitute representing the UK for the EU FinTech Action.
Personal website: Cathy Chen
Cathy is a member of the School's Finance research cluster.
Areas of expertise:
- Blockchain analytics
- digital currencies
- Machine learning in finance
- network modeling
- Sentiment analysis
2021.09-2023.02, principal investigator, “Privacy-preserving Data Sharing and Trading Ecosystem for Distributed Wireless IoT Networks”, EPSRC, 179,000 pounds.
2020.03-2023.03, principal investigator, ” Fintech and Artificial Intelligence in Finance -- Towards a transparent financial industry ” granted by European Cooperation in Science and Technology, 520,000 Euro.
2018.10 – 2022.03: International Research Training Group 1792, award EUR 200,000
Cathy is interested in supervising projects examining:
Current doctoral supervision
"How Robo-advisors learn Rare Disasters"
Co-supervisor: Bowei Chen
"Compressed time series text regression"
Alla Petukhina (HU-Berlin)
Sergey Nasekin (HU-Berlin)
Hien Pham-Thu (HU-Berlin)
Petra Burdejova (HU-Berlin)
Lenka Zbonakova (HU-Berlin)
- Farhod, Ahmed
The Impact of Financial Reporting Quality on Risk Composition, Stock Returns and Trading Volume
- Liang, Jiawen
Robo-advisors and reinforcement learning
- Liu, Shuying
Deep Learning for Business Analtyics of Non-Fungible Tokens
Information retrieval with Python
Professional activities & recognition
Prizes, awards & distinctions
- 2019-2023: Privacy-preserving Data Sharing and Trading Ecosystem for Distributed Wireless IoT Networks (EPSRC Peer Review)
- 2019 - 2023: Mercator Fellowship of German Research Foundation
- 2020 - ongoing: Review of Quantitative Finance and Accounting
- 2016 - ongoing: Computational Statistics
- 2019 - ongoing: Digital Finance
- Associate Editor of Review of Quantitative Finance and Accounting
- Associate Editor of Digital Finance and also Computational Statistics
- Special issue editor of “Machine learning in Finance” in Digital Finance
- Mercator Fellow of International Research Training Group 1792 in Germany
- Management Committee substitute representing the UK for the EU FinTech Action
- Fellow of Blockchain Research Center in Berlin