The paper analyses the time-varying conditional correlations between stock markets and oil

This paper shows the usefulness and relevance of the multivariate fractional cointegration in exploring the dynamic

The aim of this paper is to study the degree of interdependence between oil price and stock market index into two groups of countries: oil-importer countries and exporter ones. To this end, we propose a new empirical methodology allowing a time-varying dynamic correlation measure between the...

This paper assesses the impact of oil prices on economic growth of the four major OPEC countries (United Arab Emirates, Kuwait, Saudi Arabia and Venezuela) over the period spanning from 03/09/2000 to 03/12/2010. We aim at complementing the results from existing analyses (mainly focused on...

This paper aims to explore the links between Brent crude oil index and stock markets index in OECD countries. We estimate time-varying conditional correlation relationships among these variables by employing a Multivariate Fractionally Integrated Asymmetric, Power ARCH model with dynamic...

This paper examines the dynamic dependence between American and four developed stock markets, namely, Japan, United Kingdom, Germany and France during a recent period including the global Â…nancial crisis 2007-2009. The econometric approach is based on the extreme-value time-varying copula...

This article investigates the potential of nonlinear causal relationships between world oil prices and stock markets in MENA countries during a black swan period that is characterized by rarity and devastating impacts. By using the nonlinear and asymmetric causality test of Kyrtsou and Labys...

In recent years our understanding of the nature of crude oil price shocks and their effects on the stock market returns has evolved noticeably. Evidence on spillover effects between several kinds of markets has widely been discussed around the globe whereas the transmission of shocks between...

This paper aims to explore the links between Brent crude oil index and stock markets index in OECD countries. We estimate time-varying conditional correlation relationships among these variables by employing a Multivariate Fractionally Integrated Asymmetric, Power ARCH model with dynamic...