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In this paper we consider properties of random aggregation in time series analysis. For application, we focus on the problem of estimating high-frequency beta of an asset return when the returns are subject to the effects of market microstructure. Specifically, we study the correlation between...
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Most asset return series, especially those in high frequency, show high excess kurtosis and persistence in volatility that cannot be adequately described by the generalized conditional heteroscedastic (GARCH) model, even with heavy-tailed innovations. Many researchers have argued that these...
Persistent link: https://www.econbiz.de/10013149619
We build a class of copula models that captures time-varying dependence across large panels of financial assets. Our models nest Gaussian, Student's t, grouped Student's t, and generalized hyperbolic copulas with time-varying correlations matrices, as special cases. We introduce time-variation...
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We describe a Bayesian method for detecting structural changes in a long-range dependent process. In particular, we focus on changes in the long-range dependence parameter, d, and changes in the process level, p. Markov chain Monte Carlo (MCMC) methods are used to estimate the posterior...
Persistent link: https://www.econbiz.de/10014092992