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This paper proposes a latent dynamic factor model for low- as well as high-dimensional realized covariance matrices of stock returns. The approach is based on the matrix logarithm and allows for flexible dynamic dependence patterns by combining common latent factors driven by HAR dynamics and...
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correlation MSV model, the conditional/stochastic Wishart autoregressive models, the matrix-exponential MSV model, and the … outperform existing dynamic conditional correlation models for forecasting future covariances. Among the new fMSV models, the …
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