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dc.contributor.advisorΕγγλέζος, Νικόλαος
dc.contributor.authorΚορδή, Κωνσταντίνα Ι.
dc.date.accessioned2013-02-27T08:14:22Z
dc.date.available2013-02-27T08:14:22Z
dc.date.issued2013-02-27T08:14:22Z
dc.identifier.urihttps://dione.lib.unipi.gr/xmlui/handle/unipi/5215
dc.language.isoel
dc.rightsΑναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 4.0 Διεθνές
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.el
dc.subjectWeather derivatives
dc.subjectΠαράγωγα
dc.subjectDerivative securities
dc.subjectΔιαχείριση κινδύνου -- Οικονομετρικά μοντέλα
dc.titlePricing weather derivatives
dc.typeMaster Thesis
europeana.isShownAthttps://dione.lib.unipi.gr/xmlui/handle/unipi/5215
dc.identifier.call332.645 ΚΟΡ
dc.description.abstractENWeather Derivatives were first introduced in the USA in 1997 and their creation was driven by the need of companies whose revenues were related to weather fluctuations to hedge against the risk of unwanted weather conditions. Weather Derivatives belong to a different class of derivatives as their underly¬ing asset (weather) is not tradable and this leads to ordinary pricing models (such as Black and Scholes formula) not being applicable. A lot of paperwork was directed towards the pricing of these products and the modeling of the daily average temperature which characterizes the majority of the traded in¬struments. This thesis analyzes a suggested model which describes the evolution of temperature which is expressed as a sum of a deterministic and a stochastic part, and discusses 3 different approaches for pricing weather options and weather futures: Pricing under an Equivalent Martingale Measure, Arbi¬trage Free Pricing and Actuarial Pricing. Then it presents implementations for each of the models on temperature call options and compares their results; for the implementation it uses Monte Carlo simulations.


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Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 4.0 Διεθνές
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Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 4.0 Διεθνές

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