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We propose a semi-parametric coupled component GARCH model for intraday and overnight volatility that allows the two … of 1992-2015. We show that actually the ratio of overnight to intraday volatility has increased in importance for big … stocks in the last 20 years. In addition, our model provides better intraday volatility forecast since it takes account of …
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We investigate a model in which we connect slowly time varying unconditional long-run volatility with short …-run conditional volatility whose representation is given as a semi-strong GARCH (1,1) process with heavy tailed errors. We focus on … robust estimation of both long-run and short-run volatilities. Our estimation is semiparametric since the long-run volatility …
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We investigate a new separable nonparametric model for time series, which includes many ARCH models and AR models already discussed in the literature. We also propose a new estimation procedure based on a localization of the econometric method of instrumental variables. Our method has...
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