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GARCH models can provide a systematic framework for modelling volatility of time series [14, 15].
By conducting time series analysis we took into account the volatility of time series of causes of death (Anderson 2011).
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It is a future trend to use better, advanced measuring methods to test the volatility of financial time and the time-varying characteristics of the spillover effect.
This subproblem in our context is richer than the classical mean-variance problem by providing access to skewness via the drift of the time changed Brownian motion along with kurtosis via the volatility of the time change.
We underline that the aforementioned threshold can be chosen according to different parameters, for instance we considered the estimated volatility of the time series.
The evaluation has been obtained according to the following criterion: we fix a time window and we fit all the models, then we check the volatility of the times series to decide the best threshold, using it to predict the next day imbalance.
We conclude the paper with Section 5 where we evaluate the proposed set of SMC methods on an illustrative application: inference of the stochastic volatility of observed time-varying data.
The volatility of the times made the dangers of a film on Nat Turner a real possibility.
The impacts of outlying shocks on wind power time series are explored by considering the outlier effect in the volatility of wind power time series.
When the Times/CBS News poll last month showed Mr. Obama's approval rating dropping to 41 percent, some analysts saw that as another sign of volatility, this time because of rising gas prices.
Therefore, the OSTAR-GARCH models are formulated to incorporate outlier effect in the volatility of wind power time series.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

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