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financial time series displays persistent changes and possible non-stationarity. However, the theory of the bootstrap for such …
Persistent link: https://www.econbiz.de/10012129325
We advocate the use of absolute moment ratio statistics in conjunctionwith standard variance ratio statistics in order to disentangle lineardependence, non-linear dependence, and leptokurtosis in financial timeseries. Both statistics are computed for multiple return horizonssimultaneously, and...
Persistent link: https://www.econbiz.de/10011299968
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the stable tail dependence function, which is standard in extreme value theory for describing multivariate tail dependence …
Persistent link: https://www.econbiz.de/10010246746
Statistics Netherlands uses a state space model to estimate the Dutch unemployment by using monthly series about the labour force surveys (LFS). More accurate estimates of this variable can be obtained by including auxiliary information in the model, such as the univariate administrative series...
Persistent link: https://www.econbiz.de/10012434085
We study optimality properties in finite samples for time-varying volatility models driven by the score of the predictive likelihood function. Available optimality results for this class of models suffer from two drawbacks. First, they are only asymptotically valid when evaluated at the...
Persistent link: https://www.econbiz.de/10011772958
all variables proposed by theory, despite a broad set of fixed effects (FE). We find that both REERs are important and … multilateral resistances. Untangling normalization helps to get a better view of what is still unexplained by theory. …
Persistent link: https://www.econbiz.de/10011791519
Estimation of the volatility of time series has taken off since the introduction of the GARCH and stochastic volatility models. While variants of the GARCH model are applied in scores of articles, use of the stochastic volatility model is less widespread. In this articleit is argued that one...
Persistent link: https://www.econbiz.de/10011386121