Research assesses risk-management methods
A paper from the Hong Kong Monetary Authority compares different methods for estimating and forecasting the volatilities and correlations of asset returns.
The research finds that the 250-day moving average, the exponentially-weighted moving average and the orthogonal Garch models outperform other methods in their predictive power for both quarterly and yearly horizons.
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