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Forecasting the Volatility of Volatility with Parametric Models

Authors: Khemissi, Eliza;

Forecasting the Volatility of Volatility with Parametric Models

Abstract

The purpose of the research is the assessment of forecasts performance of the VVIX Index, in other words the volatility of volatility index. The survey concerns the periods including the subprime crisis and the debt crisis. The intention of the author is to get to know the forecasting properties of volatility of volatility and to compare its econometric characteristics with that of classical implied volatility in subprime crisis. The significance of volatility of volatility emerges from the possibility of predicting the falls of exchange quotations on a stock market on the basis of it.

The article was accepted for publication, but other authors of the monograph retreated

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Keywords

GARCH model, implied volatility, VVIX index, VIX index, ARFIMA model

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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