I have been a research fellow at NUS since 2018. Supported by a project entitled “Efficient solvers for high dimensional data science and machine learning problems”, I am now investigating some machine algorithms and their performances on high dimensions. To name a few, Markov Chain Monte Carlo (MCMC) method, stochastic gradient descent (SGD), and etc.

Prior to this, when I was a Ph.D. student, my research was about quantifying volatility information of stock assets at any given time by using high-frequency observations, say tick-by-tick data, limit order book data. This plays a crucial role in option pricing, portfolio selection, risk management, and etc.

Work Experience

Education Background

Research Interest

  • Financial econometrics
  • Statistical machine learning

Personal Interest

  • Basketball, Fitness, Reading, Photography

Contact

  • Email: matliuq(at)nus.edu.sg; yb57442(at)connect.umac.mo
  • Address: 07-25, Block S17, National University of Singapore, 10 Lower Kent Ridge Road, Singapore 119076

 

 

Updated on 2021.02.23.