Financial market interdependencies: a quantile regression analysis of volatility spillover

Aymen Ben Rejeb (benredjeb_aymen@yahoo.fr) and Arfaoui Mongi (arfaoui.mongi@gmail.com)

MPRA Paper from University Library of Munich, Germany

Abstract: This paper investigates the degree and structure of interdependence between emerging (Asian and Latin American) and developed (USA and Japan) stock markets through the study of volatility spillovers for the period spanning from January 1, 1993 to October 13, 2010. Using both standard GARCH model and quantile regression approach, we find the evidence of significant interdependence between financial markets which may give evidence of volatility transmission existence. The volatility transmission is closely associated with geographical proximity as well as with crisis periods which confirm the presence of contagion. The analysis of upper and lower quantiles allows observing that the interdependence increases during bullish markets while decreases during bearish markets. Accordingly, the structure of interdependence is asymmetric for both Asian and Latin American emerging markets. These findings open up new insights for government policy makers and for managerial purposes.

Keywords: Market interdependence; volatility spillovers; asymmetric interdependence; contagion; quantile regression (search for similar items in EconPapers)
JEL-codes: C1 G1 (search for similar items in EconPapers)
Date: 2014-12-25
New Economics Papers: this item is included in nep-sea
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Citations: View citations in EconPapers (3)

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Journal Article: Financial market interdependencies: A quantile regression analysis of volatility spillover (2016)
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