Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/14667
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tsouknidis, Dimitris | - |
dc.contributor.other | Τσουκνίδης, Δημήτρης | - |
dc.date.accessioned | 2019-07-22T11:06:29Z | - |
dc.date.available | 2019-07-22T11:06:29Z | - |
dc.date.issued | 2016-07-01 | - |
dc.identifier.citation | Transportation Research Part E: Logistics and Transportation Review,2016, vol. 91, pp. 90-111 | en_US |
dc.identifier.issn | 13665545 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/14667 | - |
dc.description.abstract | . This paper examines the existence of dynamic volatility spillovers within and between the dry-bulk and tanker freight markets by employing the multivariate DCC-GARCH model and the volatility spillover index developed by Diebold and Yilmaz (2012, 2009). This methodology is invariant to ordering the variables when estimating a VAR model and allows for the disaggregation of volatility spillovers in total, directional, net and net pairwise. Results reveal the existence of large time-varying volatility spillovers across shipping freight markets, which are more intense during and after the global financial crisis. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | Transportation Research Part E: Logistics and Transportation Review | en_US |
dc.rights | © Elsevier | en_US |
dc.subject | Dynamic volatility spillovers | en_US |
dc.subject | Shipping freight markets | en_US |
dc.subject | VAR models | en_US |
dc.subject | freight transport | en_US |
dc.subject | multivariate analysis | en_US |
dc.subject | numerical model | en_US |
dc.subject | spillover effect | en_US |
dc.title | Dynamic volatility spillovers across shipping freight markets | en_US |
dc.type | Article | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.subject.category | Economics and Business | en_US |
dc.journals | Subscription | en_US |
dc.country | Cyprus | en_US |
dc.subject.field | Social Sciences | en_US |
dc.publication | Peer Reviewed | en_US |
dc.identifier.doi | 10.1016/j.tre.2016.04.001 | en_US |
dc.identifier.scopus | 2-s2.0-84963553842 | - |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/84963553842 | - |
dc.relation.volume | 91 | en_US |
cut.common.academicyear | 2015-2016 | en_US |
dc.identifier.spage | 90 | en_US |
dc.identifier.epage | 111 | en_US |
item.openairetype | article | - |
item.cerifentitytype | Publications | - |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.languageiso639-1 | en | - |
crisitem.author.dept | Department of Finance, Accounting and Management Science | - |
crisitem.author.faculty | Faculty of Management and Economics | - |
crisitem.author.orcid | 0000-0003-1866-2590 | - |
crisitem.author.parentorg | Faculty of Management and Economics | - |
crisitem.journal.journalissn | 1366-5545 | - |
crisitem.journal.publisher | Elsevier | - |
Appears in Collections: | Άρθρα/Articles |
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