Identified the most appropriate Time-Series method to forecast drought in African countries, acting as a critical early warning for drought managements
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Updated
Mar 26, 2020 - R
Identified the most appropriate Time-Series method to forecast drought in African countries, acting as a critical early warning for drought managements
The project involves the analysis and forecasting of time series on financial data.
Specify and fit GARCH models to forecast time-varying volatility and value-at-risk.
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