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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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In this paper we consider modeling and forecasting of large realized covariance matrices by penalized vector autoregressive models. We propose using Lasso-type estimators to reduce the dimensionality to a manageable one and provide strong theoretical performance guarantees on the forecast...
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The main problem in pricing variance, volatility, and correlation swaps is how to determine the evolution of the … by so-called pseudo-statistics, namely, the pseudo-variance, -covariance, -volatility, and -correlation. The main … paper, we will demonstrate how to value different types of swaps (variance, volatility, covariance, and correlation swaps …
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We propose a novel multivariate GARCH model that incorporates realized measures for the variance matrix of returns. The key novelty is the joint formulation of a multivariate dynamic model for outer-products of returns, realized variances and realized covariances. The updating of the variance...
Persistent link: https://www.econbiz.de/10011520881