2018
DOI: 10.1016/j.energy.2018.09.024
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Analysis of the international propagation of contagion between oil and stock markets

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Cited by 23 publications
(15 citation statements)
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“…However, correlation cannot capture the nonlinear dependence that is usually observed between markets. To overcome this, instead of correlation, several recent studies have measured financial contagion based on the dependence between financial markets (e.g., Luo et al, 2015 ; Zhang and Liu, 2018 ; Niţoi and Pochea, 2020 ).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…However, correlation cannot capture the nonlinear dependence that is usually observed between markets. To overcome this, instead of correlation, several recent studies have measured financial contagion based on the dependence between financial markets (e.g., Luo et al, 2015 ; Zhang and Liu, 2018 ; Niţoi and Pochea, 2020 ).…”
Section: Introductionmentioning
confidence: 99%
“…With a copula model, any multivariate distribution can be estimated by separately estimating the marginal distributions and the copula function. Copula models have also been used to study financial contagion (e.g., Hoesli and Reka, 2015 ; Jayech, 2016 ; Zhang and Liu, 2018 ; Cubillos-Rocha et al, 2019 ; Niţoi and Pochea, 2020 ). However, most copula models neglect some aspects of the complex dependence between markets, such as nonlinearity, asymmetry, time-varying patterns, and upper- and lower-tail dependence.…”
Section: Introductionmentioning
confidence: 99%
“…The researchers found a significantly increasing dependence between crude oil and stock markets after the failure of Lehman Brothers. In the same vein, Zhang and Liu [48] reinforced the contagion between oil and seven stock markets, the contagion being spread from developed nations to developing ones.…”
Section: Literature Reviewmentioning
confidence: 95%
“…A large set of methods has been used in exploring the relationship among stock markets and oil prices. Zhang and Liu (2018) applied dynamic copula and VAR-DAG models between 2000 and 2017 to examine oil stock contagion and its propagation in seven countries stock markets. Additionally, (Ahmadi et al, 2016) used structural vector autoregressive (SVAR) and found different responses to oil price shocks on the US stock market returns.…”
Section: Literature Reviewmentioning
confidence: 99%