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We propose a methodology to include night volatility estimates in the day volatility modeling problem with high … the natural relationship between the realized measure and the conditional variance. This improves volatility modeling by … leverage effect and maintains a mathematical structure that facilitates volatility estimation. A class of bivariate models that …
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volatility índices (namely the originally created RTSVX and the new RVI that has replaced it), using daily data over the period …
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We estimate a general microstructure model of the transitory and permanent impact of order flow on stock prices. Jumps are detected in both the transaction price (observation equation) and fundamental value (state equation). The model's parameters and variances are updated in real time. Prices...
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financial investments has been debated in the literature. In this study, we compare the volatility of rates of return of …, it is important to model and quantify it. The conditional volatility models from the GARCH family and tail …
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