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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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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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Risk neutral densities (RND) can be used to forecast the price of the underlying basis for the option, or it may be used to price other derivates based on the same sequence. The method adopted in this paper to calculate the RND is to firts estimate daily the diffusion process of the underlying...
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function to account for this correlation between our random variables that are uniform distributed under the null hypothesis … gemeinsam hat. Wir modifizieren die Tests auf Grundlage der inversen Verteilungsfunktion, um dieser Korrelation zwischen unseren …
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) multivariate volatility models, both in-sample and out-of-sample. We also comment on the possibility to use composite likelihood …
Persistent link: https://www.econbiz.de/10010364103
is performed in the class of normal variance mixture (NVM) models, which encompasses many distributions commonly used in … correlation under stress. For the NVM distribution, we calculate the asymptotic limit of the correlation under stress, which …
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