معرفی
Professor Dave Allen is affiliated with the University of Sydney and actively contributes to research in financial econometrics, volatility modeling, and emerging market risk analysis. His work bridges quantitative finance with advanced machine learning techniques.
- Current research focuses on high-dimensional financial time series and synthetic data generation via GANs
- Recent publications explore pandemic-related financial impacts and cross-market volatility spillovers
Research interests include:
- Volatility and risk modeling (GARCH, stochastic volatility)
- Nonlinear time series analysis (NARDL, cointegration)
- Machine learning applications in finance
- Covid-19 financial and health data analysis
His recent work shows increasing interdisciplinary scope combining financial economics with public health analysis. Publications demonstrate expertise in:
- Hybrid deep learning for volatility forecasting
- Extreme value theory applications
- Autoregressive conditional duration models
- Correlation asymmetry and causality measures
Current advisee: Leonard Mushunje (PhD candidate analyzing high-dimensional financial functional data).
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