2013
DOI: 10.1016/j.eneco.2013.05.003
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Modeling returns and volatility transmission between oil price and US–Nigeria exchange rate

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Cited by 113 publications
(80 citation statements)
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“…The model is a Glosten, Jagannathan, and Runkle (GJR)‐type that allows for asymmetric effect of unconditional shock in the conditional variances. Both models have been applied in several works including Hammoudeh et al (2009), Arouri and Rault (2011), Salisu and Mobolaji (2013), and Salisu and Oloko (2015). The asymmetric VARMA‐GARCH model has been proved to have some advantages over other models like the Constant Conditional Correlation (CCC) and Dynamic Conditional Correlation (DCC) models.…”
Section: Introductionmentioning
confidence: 99%
“…The model is a Glosten, Jagannathan, and Runkle (GJR)‐type that allows for asymmetric effect of unconditional shock in the conditional variances. Both models have been applied in several works including Hammoudeh et al (2009), Arouri and Rault (2011), Salisu and Mobolaji (2013), and Salisu and Oloko (2015). The asymmetric VARMA‐GARCH model has been proved to have some advantages over other models like the Constant Conditional Correlation (CCC) and Dynamic Conditional Correlation (DCC) models.…”
Section: Introductionmentioning
confidence: 99%
“…Salisu and Mobolaji (2013) found support for evidence of bi-directional returns and volatility spillovers between oil price and US dollar-Nigeria Naira exchange rate, and the results of their study called for effective hedging strategy between oil price and FOREX rates in Nigeria. In the midst of scarce literature on oil-FOREX returns and volatility spillovers among oil-exporting and oil-importing countries, we therefore consider the framework proposed in Salisu and Mobolaji (2013) in studying the transmission of returns and volatility, and building effective oil-FOREX hedging strategy among OPEC member countries of importance for this study. Herein lies the significance of this present study to knowledge and literature on the dynamics relationship that exists between oil price and FOREX and how volatility in oil price is transmitted through to the FOREX market especially in OPEC member states.…”
mentioning
confidence: 92%
“…Ding and Vo (2012) applied both stochastic volatility and multivariate GARCH models in analyzing oil and FOREX volatility interactions under structural breaks and found bi-directional spillover effects during the 2007/2008 global financial crisis. Salisu and Mobolaji (2013) found support for evidence of bi-directional returns and volatility spillovers between oil price and US dollar-Nigeria Naira exchange rate, and the results of their study called for effective hedging strategy between oil price and FOREX rates in Nigeria. In the midst of scarce literature on oil-FOREX returns and volatility spillovers among oil-exporting and oil-importing countries, we therefore consider the framework proposed in Salisu and Mobolaji (2013) in studying the transmission of returns and volatility, and building effective oil-FOREX hedging strategy among OPEC member countries of importance for this study.…”
mentioning
confidence: 92%