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We introduce a new fractionally integrated model for covariance matrix dynamics based on the long-memory behavior of daily realized covariance matrix kernels and daily return observations. We account for fat tails in both types of data by appropriate distributional assumptions. The covariance...
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forecasting, the authors propose a new factor multivariate stochastic volatility (fMSV) model for realized covariance measures … 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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the variance matrix. Monte Carlo evidence for parameter estimation based on different small sample sizes is provided. We …
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