Showing 101 - 110 of 778,682
The purpose of the paper is to show that univariate GARCH is not a special case of multivariate GARCH, specifically the Full BEKK model, except under parametric restrictions on the off-diagonal elements of the random coefficient autoregressive coefficient matrix, provides the regularity...
Persistent link: https://www.econbiz.de/10011587639
An early development in testing for causality (technically, Granger non-causality) in the conditional variance (or volatility) associated with financial returns was the portmanteau statistic for non-causality in the variance of Cheng and Ng (1996). A subsequent development was the Lagrange...
Persistent link: https://www.econbiz.de/10011654183
A review is given of parametric estimation methods for discretely sampled multivariate diffusion processes. The main focus is on estimating functions and asymptotic results. Maximum likelihood estimation is briefly considered, but the emphasis is on computationally less demanding martingale...
Persistent link: https://www.econbiz.de/10012723991
maximum likelihood (ML). The asymptotic theory for the ML estimates (MLE) is established in the stationary case, the explosive … analysis. It is shown that changing the sign of the persistence parameter changes the asymptotic theory for the MLE, including … the rate of convergence and the limiting distribution. It is also found that the asymptotic theory depends on the value of …
Persistent link: https://www.econbiz.de/10012265682
We present a new theory for the conduct of nonparametric inference about the latent spot volatility of a semimartingale … in local estimation blocks, our theory treats the estimation block size k as fixed. While the resulting spot volatility … estimator is no longer consistent, the new theory permits the construction of asymptotically valid and easy …
Persistent link: https://www.econbiz.de/10012795628
Numerous empirical proofs indicate the adequacy of the time discrete auto-regressive stochastic volatility models introduced by Taylor in the dynamical description of the log-returns of financial assets. The pricing and hedging of contingent products that use these models for their underlying...
Persistent link: https://www.econbiz.de/10014165337
We propose a new model for dynamic volatilities and correlations of skewed and heavy-tailed data. Our model endows the Generalized Hyperbolic distribution with time-varying parameters driven by the score of the observation density function. The key novelty in our approach is the fact that the...
Persistent link: https://www.econbiz.de/10011257612
We describe stationarity and ergodicity (SE) regions for a recently proposed class of score driven dynamic correlation models. These models have important applications in empirical work. The regions are derived from sufficiency conditions in Bougerol (1993) and take a non-standard form. We show...
Persistent link: https://www.econbiz.de/10011255560
We propose a general class of Markov-switching-ARFIMA processes in order to combine strands of long memory and Markov-switching literature. Although the coverage of this class of models is broad, we show that these models can be easily estimated with the DLV algorithm proposed. This algorithm...
Persistent link: https://www.econbiz.de/10010274125
We present a model for hourly electricity load forecasting based on stochastically time-varying processes that are designed to account for changes in customer behaviour and in utility production efficiencies. The model is periodic: it consists of different equations and different parameters for...
Persistent link: https://www.econbiz.de/10010325676