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In this article, the authors measure the impact of estimation error on latent factor model forecasts of portfolio risk … find that an estimation period of 250 days may be adequate to accurately forecast risk and factor exposures for an equally … an estimation period of 1000 days. This underscores the importance of testing risk models on optimized portfolios …
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Modelling covariance structures is known to suffer from the curse of dimensionality. In order to avoid this problem for forecasting, the authors propose a new factor multivariate stochastic volatility (fMSV) model for realized covariance measures that accommodates asymmetry and long memory....
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