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We propose a semi-parametric coupled component GARCH model for intraday and overnight volatility that allows the two … score model with t innovations. We propose a several step estimation procedure that captures the nonparametric slowly moving … components by kernel estimation and the dynamic parameters by t maximum likelihood. We establish the consistency and asymptotic …
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robust estimation of both long-run and short-run volatilities. Our estimation is semiparametric since the long-run volatility … run volatility function. Our estimation is based on a two-step LAD procedure. We establish the relevant asymptotic theory …We investigate a model in which we connect slowly time varying unconditional long-run volatility with short …
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This paper is concerned with evaluating Value-at-Risk estimates. It is well known that using only binary variables, such as whether or not there was an exception, sacrifices too much information. However, most of the specification tests (also called backtests) available in the literature, such...
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time series by exploiting the implications of a GJR-GARCH volatility model. The method is based on some recent work on the …
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