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A new model class for univariate asset returns is proposed which involves the use of mixtures of stable Paretian distributions, and readily lends itself to use in a multivariate context for portfolio selection. The model nests numerous ones currently in use, and is shown to outperform all its...
Persistent link: https://www.econbiz.de/10010608465
standard GARCH(1, 1) model. For such a model, we derive the asymptotic theory of the quasi-maximum likelihood estimator. In …
Persistent link: https://www.econbiz.de/10010574066
GARCH volatility models with fixed parameters are too restrictive for long time series due to breaks in the volatility … process. Flexible alternatives are Markov-switching GARCH and change-point GARCH models. They require estimation by MCMC …
Persistent link: https://www.econbiz.de/10011052313
the innovations are heavy-tailed. For standard GARCH models, the comparison only depends on characteristics of the …
Persistent link: https://www.econbiz.de/10011077602
When a model under-specifies the data generation process, model selection can improve over estimating a prior specification, especially if location shifts occur. Impulse-indicator saturation (IIS) can ‘correct’ non-constant intercepts induced by location shifts in omitted variables, which...
Persistent link: https://www.econbiz.de/10010730127
Estimating the integrated covariance matrix (ICM) from high frequency financial trading data is crucial to reflect the volatilities and covariations of the underlying trading instruments. Such an objective is difficult due to contaminated data with microstructure noises, asynchronous trading...
Persistent link: https://www.econbiz.de/10010776916
We consider forecasting with factors, variables and both, modeling in-sample using Autometrics so all principal components and variables can be included jointly, while tackling multiple breaks by impulse-indicator saturation. A forecast-error taxonomy for factor models highlights the impacts of...
Persistent link: https://www.econbiz.de/10010709434
In this paper, we propose two parametric alternatives to the standard GJR-GARCH model of Glosten et al. (1993), based …
Persistent link: https://www.econbiz.de/10011052196
AR–GARCH type models. We consider tests for the null hypotheses of no linear and quadratic serial residual … we show that, generally, no size correction is needed in the asymptotic test distribution when applied to AR–GARCH …. Simulations show that our asymptotic approximations work well for a large number of AR–GARCH models and parameter values. We also …
Persistent link: https://www.econbiz.de/10011190707
Unpredictability arises from intrinsic stochastic variation, unexpected instances of outliers, and unanticipated extrinsic shifts of distributions. We analyze their properties, relationships, and different effects on the three arenas in the title, which suggests considering three associated...
Persistent link: https://www.econbiz.de/10010785285