
Estimating the Block-Diagonal Idiosyncratic Covariance in High- Dimensional Factor Models
Reinforcement Learning Approaches to Optimal Market Making
Estimation of latent factors from high-dimensional financial time series based on unsupervised learning
Cluster-Specific Latent Factor Estimation in High-Dimensional Financial Time Series
Estimating the Number of Latent Factors in High-Dimensional Financial Time Series
Adaptive rolling window selection for minimum variance portfolio estimation based on reinforcement learning
On the predictive power of statistical factor models
Cluster-Based Shrinkage of Correlation Matrices for Portfolio Optimization
Scaling properties of extreme price fluctuations in Bitcoin markets
Market Microstructure and Order Book Dynamics in Cryptocurrency Exchanges
Information Feedback in Temporal Networks as a Predictor of Market Crashes
Information Flow Networks of Financial Time Series
Predictive Power of Complexity Theory in Financial Markets
Portfolio optimization using preference relation based on statistical arbitrage
Estimating Tipping Points in Feedback-Driven Financial Networks
Does bargaining dynamics inherently cause market bubbles and crashes?
A Network-Based Approach to Modeling Market Bubbles and Crashes
Wireless Indoor Positioning Relying on Observations of Received Power and Mean Delay
Teaching
University undergraduate
- Information Processing (Lecturers)
- Information Processing (Lectures)
- Information Processing (Lecturers)
- Information Processing (Lectures)
- Statistical Data Analysis (Lecturers)
- Statistical Data Analysis (Lectures)
University graduate
- Distributed Ledgers and Cryptocurrencies (Lecturers)
- Distributed Ledgers and Cryptocurrencies (Lectures)
- Multivariate Data Analysis (Lectures)
- Multivariate Data Analysis (Lectures)
- Statistical Data Analysis (Lecturers)
- Statistical Data Analysis (Lectures)
- Distributed Ledgers and Cryptocurrencies (Seminar)
Postgraduate doctoral study programme
- Statistical methods for data mining (Lecturer in charge)
Competences
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Computational and artificial intelligence
Machine learning Computational intelligence -
Mathematics
Statistics Covariance matrices Dimensionality reduction Time series analysis -
Engineering management
Asset management Econometrics Stock markets