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Oil Products and the Volatility Index: Bivariate Volatility Relationships Within a T-GARCH Model

Authors: Bernard Ben Sita;

Oil Products and the Volatility Index: Bivariate Volatility Relationships Within a T-GARCH Model

Abstract

I provide, in this paper, evidence on the contribution of crude oil excess volatility to the volatility index. Crude oil leads the volatility index by 16 basis points (BP) 6 months ahead of time. This leadership is reversal and covers the period from January 21, 2000 to the end of 2011. The lagged and the contemporaneous effects amount to 35BP and 21BP, respectively. Moreover, I provide volatility quantities that would spill over from crude oil to refined oil products, and from crude oil to the volatility index. Based on a T-GARCH model augmented with correlation-weighted volatility ratios, I document quantities that can be useful in program trading.

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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).
BIP!Citations provided by BIP!
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!
0
Average
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