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Financial Data Science Lab. (FDS LAB, 금융 데이터 사이언스 연구실) in the Department of AI software at Gachon University aims to discover the data-driven financial innovations based on pattern recognition, time-series analysis, econophysics, and operations research.
The scope of the application domains includes, but not limited to, the following subjects:
Investment decision
Investment decision
Development of AI-based robo-advisor to respond to economic downturn and increased asset volatility
Modeling the machine learning techniques specialized for time series data and designing the asset allocation automation system
Provide rational reasons for investment decisions through explainable artificial intelligence
Financial market
Financial market
Measuring the information efficiency of the stock market using machine learning
Predicting the global financial risk through network analysis
Implementing FinTech and digital finance with machine learning such as NLP, Recommendation system, and Anomaly detection
Econophysics
Econophysics
Combining deep-learning algorithms with econophysics concepts for time-series forecasting
Measuring the complexity and asymmetry of financial time-series data through fractal theory
Data analytics through entropy of information theory with explanatory power
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