Semi-parametric financial risk forecasting incorporating multiple realized measures
By H. Rangika Iroshani Peiris, Chao Wang, Richard Gerlach, Minh-Ngoc Tran
Rating
1504
Battle Count: 52
Relevance
9/10
Highly relevant for risk management in quantitative trading strategies, especially for regulatory compliance and portfolio risk assessment
Implementation Complexity
7/10
Requires implementation of complex statistical models and Bayesian estimation techniques
Reproducibility
4/5
The paper provides detailed model specifications and estimation procedures. Data sources are clearly mentioned.
About this paper
Methodology: Realized-ES-CAViaR-M. Problem types: Time Series Forecasting, Risk Management.
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