2015
DOI: 10.1007/978-3-319-25135-6_39
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Volatility Linkages Between Price Returns of Crude Oil and Crude Palm Oil in the ASEAN Region: A Copula Based GARCH Approach

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Cited by 3 publications
(6 citation statements)
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“…On the whole, the findings of this empirical study are supported by previous literature suggesting the existence of an information transmission mechanism from world oil prices to Malaysian palm oil prices (Kiatmanaroch and Sriboonchitt, 2014;Nazlioglu and Soytas, 2012;Kiatmanaroch et al, 2015). Notably, our findings are different from the papers cited above in several aspects.…”
Section: Discussion and Implications For Sustainabilitysupporting
confidence: 82%
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“…On the whole, the findings of this empirical study are supported by previous literature suggesting the existence of an information transmission mechanism from world oil prices to Malaysian palm oil prices (Kiatmanaroch and Sriboonchitt, 2014;Nazlioglu and Soytas, 2012;Kiatmanaroch et al, 2015). Notably, our findings are different from the papers cited above in several aspects.…”
Section: Discussion and Implications For Sustainabilitysupporting
confidence: 82%
“…Kiatmanaroch and Sriboonchitta (2014) find a positive link between the two markets with exchange rates being a vital factor impacting the association. Kiatmanaroch et al (2015) also show a significant connection between Gulf crude oil and Malaysian palm oil price series. A recent study by Priyati and Tyers (2016) contends that, since palm oil is a consumption substitute for vegetable oils that can be used as fuels, the energy market plays a prominent role in prompting palm oil prices.…”
Section: Introductionmentioning
confidence: 73%
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“…of the prices of both the commodities [5]. Some used the copula based ARMA-GARCH to examine the dependence structure between the weekly prices of two commodities, namely crude oil and crude palm oil, namely crude oil and crude palm oil.It found evidence of a weak positive of two commodities price [6]. Some proposes to analyze the applicability of TVEC-Copula-DCCGARCH methodology to model crude oil volatility, it estimated an out -sample hedge during European crisis, it shows that the copula-DCC-GARCH presents a superior fit [7].…”
Section: Introductionmentioning
confidence: 99%