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generally, to observation-driven models, which include well-known models for conditional volatility. To overcome the problem of … Monte Carlo study and an empirical study concerning the measurement of conditional volatility from financial returns data. …
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-Leibler divergence in empirically relevant settings. We illustrate the theory with an application to time-varying volatility models. We …
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Novel periodic extensions of dynamic long memory regression models with autoregressive conditional heteroskedastic errors are considered for the analysis of daily electricity spot prices. The parameters of the model with mean and variance specifications are estimated simultaneously by the method...
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Although the main interest in the modelling of electricity prices is often on volatility aspects, we argue that … towards volatility features of the time series.For the older electricity market of Nord Pool in Norway, it is found that a …
Persistent link: https://www.econbiz.de/10011334362
We revisit Wintenberger (2013) on the continuous invertibility of the EGARCH(1,1) model. We note that the definition of continuous invertibility adopted in Wintenberger (2013) may not always be sufficient to deliver strong consistency of the QMLE. We also take the opportunity to provide other...
Persistent link: https://www.econbiz.de/10011401308
This paper considers spot variance path estimation from datasets of intraday high frequency asset prices in the presence of diurnal variance patterns, jumps, leverage effects and microstructure noise. We rely on parametric and nonparametric methods. The estimated spot variance path can be used...
Persistent link: https://www.econbiz.de/10011379469