dc.contributor.advisor | Σκιαδόπουλος, Γεώργιος | |
dc.contributor.author | Πλιάκουρας, Χρήστος Γ. | |
dc.date.accessioned | 2015-09-04T06:45:00Z | |
dc.date.available | 2015-09-04T06:45:00Z | |
dc.date.issued | 2006-06 | |
dc.identifier.uri | https://dione.lib.unipi.gr/xmlui/handle/unipi/7189 | |
dc.format.extent | 78 | el |
dc.language.iso | en | el |
dc.publisher | Πανεπιστήμιο Πειραιώς | el |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Διεθνές | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Petroleum industry and trade | el |
dc.subject | Petroleum products -- Prices | el |
dc.subject | Risk management | el |
dc.subject | Διαχείριση κινδύνου | el |
dc.subject | Πετρέλαιο -- Βιομηχανία και εμπόριο | el |
dc.title | Petroleum products, petroleum futures and Value at Risk | el |
dc.type | Master Thesis | el |
dc.contributor.department | Σχολή Χρηματοοικονομικής και Στατιστικής. Τμήμα Χρηματοοικονομικής και Τραπεζικής Διοικητικής | el |
dc.identifier.call | 338.2'7 ΠΛΙ | el |
dc.description.abstractEN | It confuted one-day VaR for the petroleum products and their nearby futures at 99% and 95% confidence levels using parametric, semi-parametric and non-parametric approaches. For each VaR calculation it computed the corresponding expected Shortfall (ES). For backtesting VaR it used Christoffersen's conditional coverage test and for backtesting the ES it used a quantratic score function based on a loss function. In order to decide on the best method for VaR computation, it followed two approaches and compared them to check whether they yield similar results. | el |
dc.contributor.master | Χρηματοοικονομική και Τραπεζική με κατεύθυνση στην Χρηματοοικονομική και Τραπεζική Διοικητική | el |