2018
DOI: 10.1016/j.qref.2017.04.012
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Modelling the directional spillovers from DJIM Index to conventional benchmarks: Different this time?

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Cited by 31 publications
(17 citation statements)
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“…Thus, Islamic equity investments do not offer any safe-haven avenues for the G7 conventional equity investors in the full sample analysis. Our results corroborate with Ahmad et al (2018), Rejeb (2017), Naifar (2016), andRazak et al (2016), those also found a positive dependence structure between Islamic and conventional equity investment using a variety of equity indices for both investment types.…”
Section: Cross-quantilogram Analysissupporting
confidence: 92%
See 1 more Smart Citation
“…Thus, Islamic equity investments do not offer any safe-haven avenues for the G7 conventional equity investors in the full sample analysis. Our results corroborate with Ahmad et al (2018), Rejeb (2017), Naifar (2016), andRazak et al (2016), those also found a positive dependence structure between Islamic and conventional equity investment using a variety of equity indices for both investment types.…”
Section: Cross-quantilogram Analysissupporting
confidence: 92%
“…disconnection between Islamic and conventional stock in lower return quantiles also confirms the decoupling hypothesis, which suggest that these investments take opposing paths during bearish market conditions (Ahmad et al, 2018, Hkiri et al, 2017. Lastly, the decoupling of the two investment types continues to hold when we consider longer lag lengths of a weak and month period.…”
Section: Cross-quantilogram Analysissupporting
confidence: 67%
“…On the other hand, another branch of papers is focused on dynamic interdependencies among conventional and Islamic portfolios. Thus, [9] analyzed the financial performance and the directional interdependence of Islamic and conventional stock indices. These authors found that there is an appreciable level of directional interdependence between both types of stock indices.…”
Section: Introduction and Literature Reviewmentioning
confidence: 99%
“…First, we estimate MGARCH models for natural gas, heating oil, conventional gasoline, crude oil, and propane, where we pair each of them independently with SPGCE and SPGO. In contrast to many previous studies on energy markets that use symmetric MGARCH models, such as the symmetric BEKK MGARCH model (e.g., Abdallah and Ghorbela (2018), Sarwar et al (2019), and Batten et al (2019)) or the symmetric dynamic conditional correlation (DCC) MGARCH model (e.g., Dutta et al (2020), Ahmad, Rais, et al (2018), Maghyereh et al (2019), and Kumar (2014)), we employ the asymmetric BEKK MGARCH model (Kroner and Ng, 1998), where "bad news" emanating from energy markets, SPGCE, or SPGO differs in effect from "good news." In other words, the asymmetric BEKK model determines how sensitive the volatility spillover between SPGCE stocks, SPGO stocks, and energy commodities is to (positive or negative) news.…”
Section: Introductionmentioning
confidence: 94%