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from diagonal BEKK in small systems; and DCC may be a useful filter or a diagnostic check, but it is not a model. … Conditional Correlation (DCC) representation for estimating and forecasting time-varying conditional correlations. The reasons … given for caution about the use of DCC include the following: DCC represents the dynamic conditional covariances of the …
Persistent link: https://www.econbiz.de/10011256093
This note discusses some aspects of the paper by Hu and Tsay (2014), “Principal Volatility Component Analysis”. The key issues are considered, and are also related to existing conditional covariance and correlation models. Some caveats are given about multivariate models of time-varying...
Persistent link: https://www.econbiz.de/10011257320
Two of the fastest growing frontiers in econometrics and quantitative finance are time series and financial econometrics. Significant theoretical contributions to financial econometrics have been made by experts in statistics, econometrics, mathematics, and time series analysis. The purpose of...
Persistent link: https://www.econbiz.de/10011257486
the effect of news is typically extremely small; DCC cannot be distinguished empirically from diagonal BEKK in small … discuss ten things potential users should know about the limits of the Dynamic Conditional Correlation (DCC) representation … for estimating and forecasting time-varying conditional correlations. The reasons given for caution about the use of DCC …
Persistent link: https://www.econbiz.de/10011255860
Taiwan tourism industry. The analysis is based on two conditional multivariate models, BEKK-AGARCH and VARMA-AGARCH, in the …
Persistent link: https://www.econbiz.de/10011256725
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 introduce a dynamic statistical model for Skellam distributed random variables. The Skellam distribution can be obtained by taking differences between two Poisson distributed random variables. We treat cases where observations are measured over time and where possible serial correlation is...
Persistent link: https://www.econbiz.de/10011256555
We propose a new methodology for designing flexible proposal densities for the joint posterior density of parameters and states in a nonlinear non-Gaussian state space model. We show that a highly efficient Bayesian procedure emerges when these proposal densities are used in an independent...
Persistent link: https://www.econbiz.de/10011256750
Of the two most widely estimated univariate asymmetric conditional volatility models, the exponential GARCH (or EGARCH) specification can capture asymmetry, which refers to the different effects on conditional volatility of positive and negative effects of equal magnitude, and leverage, which...
Persistent link: https://www.econbiz.de/10011272590
Of the two most widely estimated univariate asymmetric conditional volatility models, the exponential GARCH (or EGARCH) specification can capture asymmetry, which refers to the different effects on conditional volatility of positive and negative effects of equal magnitude, and leverage, which...
Persistent link: https://www.econbiz.de/10011272596