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This paper considers spot variance path estimation from datasets of intraday high frequency asset prices in the presence of diurnal variance patterns, jumps, leverage effects and microstructure noise. We rely on parametric and nonparametric methods. The estimated spot variance path can be used...
Persistent link: https://www.econbiz.de/10013153285
This paper considers spot variance path estimation from datasets of intraday high frequency asset prices in the presence of diurnal variance patterns, jumps, leverage effects and microstructure noise. We rely on parametric and nonparametric methods. The estimated spot variance path can be used...
Persistent link: https://www.econbiz.de/10011379469
volatility clustering, as is typically the case for financial time series such as exchange rate returns. Our claim builds on … methods will yield power gains in the presence of fat tails and persistent volatility clustering, and the strength of these …
Persistent link: https://www.econbiz.de/10011342578
We propose a multivariate generalization of the multiplicative volatility model of Engle and Rangel (2008), which has a …
Persistent link: https://www.econbiz.de/10013148178
We propose a semiparametric multivariate estimator and a multivariate score-type testing procedure under a perturbed multivariate fractional process. The estimator is based on the periodogram and uses a local Whittle criterion function which is generalised by an additional constant to capture...
Persistent link: https://www.econbiz.de/10014247836
We study the strong consistency and asymptotic normality of the maximum likelihood estimator for a class of time series models driven by the score function of the predictive likelihood. This class of nonlinear dynamic models includes both new and existing observation driven time series models....
Persistent link: https://www.econbiz.de/10010250505
The strong consistency and asymptotic normality of the maximum likelihood estimator in observation-driven models usually requires the study of the model both as a filter for the time-varying parameter and as a data generating process (DGP) for observed data. The probabilistic properties of the...
Persistent link: https://www.econbiz.de/10010364739
This paper introduces a representation of an integrated vectortime series in which the coefficient of multiple correlation computed fromthe long-run covariance matrix of the innovation sequences is a primitiveparameter of the model. Based on this representation, a notion of nearcointegration is...
Persistent link: https://www.econbiz.de/10011300555
We extend and adapt a class of estimators of the parameter H of the fractional Brownian motion in order to estimate the (time-dependent) memory function of a multifractional process. We provide: (a) the estimator's distribution when H ∈ (0,3/4); (b) the confidence interval under the null...
Persistent link: https://www.econbiz.de/10013122332
nonstationary volatility. In the same article, Xu proposed a set of t-tests for the regression coefficients and claimed that these … only under the exact knowledge of the asymptotic order of the nonstationary volatility. In this paper it is first shown … obtained, that do not depend either on the asymptotic order of the nonstationary volatility, or on the degree of the polynomial …
Persistent link: https://www.econbiz.de/10013112126