2023
DOI: 10.1016/j.eneco.2023.106708
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The time-varying effects of liquidity and market efficiency of the European Union carbon market: Evidence from the TVP-SVAR-SV approach

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Cited by 9 publications
(3 citation statements)
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“…As a consequence, futures can be used for speculation and risk hedging and are suitable for those who have no interest in physical delivery. On top of energy-intensive firms, the market participants also consist of financial institutions in large and medium scale, whose trading activities out of arbitrage, hedging or speculation inject enormous liquidity into the EU futures market and thus conduce to the processing of price information (Chordia et al, 2008;Ibikunle et al, 2016;Zhong et al, 2023). In Eq.…”
Section: Discussionmentioning
confidence: 99%
“…As a consequence, futures can be used for speculation and risk hedging and are suitable for those who have no interest in physical delivery. On top of energy-intensive firms, the market participants also consist of financial institutions in large and medium scale, whose trading activities out of arbitrage, hedging or speculation inject enormous liquidity into the EU futures market and thus conduce to the processing of price information (Chordia et al, 2008;Ibikunle et al, 2016;Zhong et al, 2023). In Eq.…”
Section: Discussionmentioning
confidence: 99%
“…We aim to capture the time-varying impacts that structural shocks on m (u) have on u (πk) without dividing our full sample into subsamples. Indeed, compared to the constant parameters SVAR model, the TVP-SVAR models allow the detection of the changes in the responses' behaviour over time of the system to the identified structural shocks while conserving the full sample information specificity (Zhong et al 2023, 106708). The uncorrelatedness of the shocks allows us to identify impulse-response functions and rules out the presence of any omitted variables that enter multiple equations (Ghanem and Smith 2022).…”
Section: Time-varying Impulse-response Functionsmentioning
confidence: 99%
“…3 We follow standard procedures to estimate and identify SVAR models, as illustrated by Kilian and Lütkepohl (2017). The choice of 68% error bands is used in several contributions (see, among others, Blanchard and Perotti 2002;Kim 2020;Deleidi 2022;Zhong et al 2023). Furthermore, as Sims and Zha (1999) and Giordano et al (2007) pointed out, error bands corresponding to 0.68 probability are often more useful than 0.95 bands because they provide a more precise estimate of the true coverage probability.…”
Section: Notesmentioning
confidence: 99%