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Dr. Matthias BUEHLMAIER

Dr. Matthias BUEHLMAIER

Finance

BBA (IBGM) Deputy Programme Director

BBA (IBGM) Admissions Tutor

Principal Lecturer

[ Personal Website ]

2219 4177

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Biography

Matthias Buehlmaier is a principal lecturer in finance and the deputy program director of the BBA(IBGM) program at the University of Hong Kong (HKU).

His personal website with more details can be found at www.buehlmaier.net.

He has been a visiting fellow at the University of Cambridge at Hughes Hall and Cambridge Judge Business School via the Doris Zimmern HKU-Cambridge Hughes Hall Fellowship.

His research appeared in the Review of Financial Studies and is featured in the Harvard Law School Forum on Corporate Governance and Financial Regulation.

He is a winner of several research and teaching awards.

The first university course worldwide (to the best of his knowledge) on the topic of text analytics and natural language processing in finance and fintech was taught by him from January to March in 2018.

Matthias Buehlmaier holds a Ph.D. in finance from Vienna Graduate School of Finance (WU Vienna), Austria, a M.S. in mathematics from Texas A&M University–College Station, USA, and a Vordiplom in applied mathematics from Ulm University, Germany.

He graduated with distinction from the Portfolio Management Program at the ISK Research Institute for Capital Markets, Austria, where he managed a successful stock portfolio.

In addition to his academic endeavors, he is excited about staying in contact with industry practitioners, regulators, and policy makers. Feel free to reach out if you would like to discuss topics related to IBGM or his interests listed below.

Areas of Interest

  • Asset pricing, market efficiency, and price discovery
  • Investment management and investment strategies with a focus on quantitative and data-driven approaches
  • Corporate finance, in particular mergers & acquisitions
  • Financial market stability, financial "bubbles" and crises
  • Text analytics and natural language processing (NLP) in finance, e.g. textual analysis of financial media, social media, or company filings
  • Data science on small and big data, machine learning, and artificial intelligence (AI) in finance
  • Fintech

Education

  • Ph.D. in Finance, Vienna Graduate School of Finance (WU Vienna), Austria
  • M.S. in Mathematics, Texas A&M University-College Station, USA
  • Vordiplom in Applied Mathematics, Ulm University, Germany

Contact

Office Room 1106, KK Leung Building
Tel. (852) 2219 4177
Email buehl@hku.hk
Website http://www.buehlmaier.net/

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