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Extreme dependencies and spillovers between gold and stock markets:evidence from MENA countries
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作者 walid mensi Debasish Maitra +1 位作者 Refk Selmi Xuan Vinh Vo 《Financial Innovation》 2023年第1期1449-1475,共27页
This study addresses whether gold exhibits the function of a hedge or safe haven as often referred to in academia.It contributes to the existing literature by(i)revisiting this question for the principal stock markets... This study addresses whether gold exhibits the function of a hedge or safe haven as often referred to in academia.It contributes to the existing literature by(i)revisiting this question for the principal stock markets in the Middle East and North Africa(MENA)region and(ii)using the copula-quantile-on-quantile and conditional value at risk methods to detail the risks facing market participants provided with accurate information about various gold and stock market scenarios(i.e.,bear,normal,bull).The results provide strong evidence of quantile dependence between gold and stock returns.Positive correlations are found between MENA gold and stock markets when both are bullish.Conversely,when stock returns are bearish,gold markets show negative correlations with MENA stock markets.The risk spillover from gold to stock markets intensified during the global financial and European crises.Given the risk spillover between gold and stock markets,investors in MENA markets should be careful when considering gold as a safe haven because its effectiveness as a hedge is not the same in all MENA stock markets.Investors and portfolio managers should rebalance their portfolio compositions under various gold and stock market conditions.Overall,such precise insights about the heterogeneous linkages and spillovers between gold and MENA stock returns provide potential input for developing effective hedging strategies and optimal portfolio allocations. 展开更多
关键词 Copula CoVaR Extreme dependence GOLD MENA markets Risk spillovers
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Tail spillover effects between cryptocurrencies and uncertainty in the gold,oil,and stock markets
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作者 walid mensi Mariya Gubareva +2 位作者 Hee‑Un Ko Xuan Vinh Vo Sang Hoon Kang 《Financial Innovation》 2023年第1期2339-2365,共27页
This study investigates tail dependence among five major cryptocurrencies,namely Bitcoin,Ethereum,Litecoin,Ripple,and Bitcoin Cash,and uncertainties in the gold,oil,and equity markets.Using the cross-quantilogram meth... This study investigates tail dependence among five major cryptocurrencies,namely Bitcoin,Ethereum,Litecoin,Ripple,and Bitcoin Cash,and uncertainties in the gold,oil,and equity markets.Using the cross-quantilogram method and quantile connectedness approach,we identify cross-quantile interdependence between the analyzed variables.Our results show that the spillover between cryptocurrencies and volatility indices for the major traditional markets varies substantially across quantiles,implying that diversification benefits for these assets may differ widely across normal and extreme market conditions.Under normal market conditions,the total connectedness index is moderate and falls below the elevated values observed under bearish and bullish market conditions.Moreover,we show that under all market conditions,cryptocurrencies have a leadership influence over the volatility indices.Our results have important policy implications for enhancing financial stability and deliver valuable insights for deploying volatility-based financial instruments that can potentially provide cryptocurrency investors with suitable hedges,as we show that cryptocurrency and volatility markets are insignificantly(weakly)connected under normal(extreme)market conditions. 展开更多
关键词 Cryptocurrency Uncertainty indices Quantile spillover Crossquantilogram
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High frequency multiscale relationships among major cryptocurrencies:portfolio management implications 被引量:2
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作者 walid mensi Mobeen Ur Rehman +2 位作者 Muhammad Shafiullah Khamis Hamed Al‑Yahyaee Ahmet Sensoy 《Financial Innovation》 2021年第1期1565-1585,共21页
This paper examines the high frequency multiscale relationships and nonlinear multiscale causality between Bitcoin,Ethereum,Monero,Dash,Ripple,and Litecoin.We apply nonlinear Granger causality and rolling window wavel... This paper examines the high frequency multiscale relationships and nonlinear multiscale causality between Bitcoin,Ethereum,Monero,Dash,Ripple,and Litecoin.We apply nonlinear Granger causality and rolling window wavelet correlation(RWCC)to 15 min-data.Empirical RWCC results indicate mostly positive co-movements and long-term memory between the cryptocurrencies,especially between Bitcoin,Ethereum,and Monero.The nonlinear Granger causality tests reveal dual causation between most of the cryptocurrency pairs.We advance evidence to improve portfolio risk assessment,and hedging strategies. 展开更多
关键词 Cryptocurrency High frequency analysis Nonlinear multiscale causality Rolling window wavelet correlation
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Correction to:High frequency multiscale relationships among major cryptocurrencies:portfolio management implications
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作者 walid mensi Mobeen Ur Rehman +2 位作者 Muhammad Shafullah Khamis Hamed Al‑Yahyaee Ahmet Sensoy 《Financial Innovation》 2021年第1期1729-1729,共1页
Correction to:Financ Innov 7:75(2021)https://doi.org/10.1186/s40854-021-00290-w Following publication of this article(Mensi et al.2021),the corresponding author reported that his 2nd affiliation was missing.So the cor... Correction to:Financ Innov 7:75(2021)https://doi.org/10.1186/s40854-021-00290-w Following publication of this article(Mensi et al.2021),the corresponding author reported that his 2nd affiliation was missing.So the corresponding author’s affiliations are:1Department of Economics and Finance,College of Economics and Political Science,Sultan Qaboos University,Muscat,Oman 2South Ural State University,76,Lenin Prospekt,Chelyabinsk,Russian Federation The affiliations have been updated in this Correction and in the original article. 展开更多
关键词 AMONG COLLEGE RUSSIAN
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