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Understanding the jump dynamics of market prices is important for asset pricing and risk management. Despite their analytical tractability, parametric models may impose unrealistic restrictions on the temporal dependence structure of jumps. In this paper, we introduce a nonparametric inference...
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Recent research has focused on modelling asset prices by Itocirc; semimartingales. In such a modelling framework, the quadratic variation consists of a continuous and a jump component. This paper is about inference on the jump part of the quadratic variation, which can be estimated by the...
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suitability of the model, highlighting the presence of both mean and volatility (size) asymmetry; while the model is favoured over …
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In recent years, there has been substantive empirical evidence that stochastic volatility is rough. In other words, the … local behavior of stochastic volatility is much more irregular than semimartingales and resembles that of a fractional … not assume any a priori relationship between volatility estimators and true volatility. Furthermore, our estimator attains …
Persistent link: https://www.econbiz.de/10014239108
The volatility component models have received much attention recently, not only because of their ability to capture … breaks or non-stationarities in asset price volatility. The paper studies the distributional properties of various volatility … mixing property to the volatility component models are derived. Hence, the paper revisits the component models from a …
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