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The impact of estimation error on latent factor model forecasts of portfolio risk

Bianchi, Stephen W.; Goldberg, Lisa; Rosenberg, Allan - In: The journal of portfolio management : a publication of … 43 (2017) 5, pp. 147-156

Persistent link: https://www.econbiz.de/10011686352

The Impact of Estimation Error on Latent Factor Model Forecasts of Portfolio Risk

Bianchi, Stephen - 2019

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 …

Persistent link: https://www.econbiz.de/10012903199

Knowing factors or factor loadings, or neither? : evaluating estimators of large covariance matrices with noisy and asynchronous data

Dai, Chaoxing; Lu, Kun; Xiu, Dacheng - In: Journal of econometrics 208 (2019) 1, pp. 43-79

Persistent link: https://www.econbiz.de/10012139780

Forecasting co-volatilities via factor models with asymmetry and long memory in realized covariance

Asai, Manabu; McAleer, Michael - In: Journal of econometrics 189 (2015) 2, pp. 251-262

Persistent link: https://www.econbiz.de/10011504522

Forecasting co-volatilities via factor models with asymmetry and long memory in realized covariance

Asai, Manabu; McAleer, Michael - 2014

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....

Persistent link: https://www.econbiz.de/10010259630