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This paper derives a semiparametric estimator of multivariate fractionally integrated processes covering both stationary and non-stationary values of d. We utilize the notion of the extended discrete Fourier transform and periodogram to extend the multivariate local Whittle estimator of Shimotsu...
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When analysing the volatility related to high frequency financial data, mostly non-parametric approaches based on … stochastic volatility. Estimation of the model delivers measures of daily variation outperforming their non …
Persistent link: https://www.econbiz.de/10011374428
's dynamic properties may lead to misestimation of the intraday spot volatility. …
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We present an econometric method for estimating the parameters of a diffusion model from discretely sampled data. The estimator is transparent, adaptive, and inherits the asymptotic properties of the generally unattainable maximum likelihood estimator. We use this method to estimate a new...
Persistent link: https://www.econbiz.de/10012470313
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proposes an estimate of the neutral band based on the one-step-ahead density forecast obtained from a stochastic volatility … stochastic volatility models have the best fit and forecasting performance, hence superior neutral band estimates. …
Persistent link: https://www.econbiz.de/10012195198
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memory in stochastic volatility (SV) components in order to develop the General Long Memory SV (GLMSV) model. We examine the …
Persistent link: https://www.econbiz.de/10011854876
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