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The Role of Volatility Regimes on Volatility Transmission Patterns

Authors: Nikos Nomikos; Enrique Salvador;

The Role of Volatility Regimes on Volatility Transmission Patterns

Abstract

This paper investigates volatility transmission patterns between the US and Eurozone stock markets differentiating between low and high volatility periods which tend to be related with international crisis. Our approach let us distinguish the spillover intensities between markets in calm and crisis periods and also tests for a potential increase of market comovements during these last periods. State-Dependent Volatility Impulse-Response Functions (SD-VIRF) are also introduced considering different responses of stock markets during detected periods of high and low volatilities. The results show that volatility spillovers intensities increase during turmoil periods and it is also find an increase of conditional correlation during times of market jitters.

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    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
7
Top 10%
Average
Average
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