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dc.contributor.authorPettersén, Ida Kemiläinen
dc.contributor.authorDirenzo, Joseph
dc.date.accessioned2021-10-13T12:33:20Z
dc.date.available2021-10-13T12:33:20Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/11250/2799662
dc.descriptionMasteroppgave(MSc) in Master of Science in Finance - Handelshøyskolen BI, 2021en_US
dc.description.abstractThis study examines the accuracy and hedge effectiveness of different static models to forecast and hedge ship demolition prices. Nine international forecasting variables and six futures contracts relevant in the ship demolition market are used in a Vector Error Correction Model, Error Correction Model, and Auto Regressive Moving Average model to perform this analysis. Out of sample results for the ECM using the Chinese iron ore index had the most accurate out of sample forecast accuracy. All models had low hedge effectiveness. Based on the study, regional variables and dynamic models are recommended for improved forecasting and hedging models which would address basis risk between spot and futures prices and changing correlation between variables over time.en_US
dc.language.isoengen_US
dc.publisherHandelshøyskolen BIen_US
dc.subjectfinansen_US
dc.subjectfinanceen_US
dc.subjectfinacial economicsen_US
dc.titleForecasting and Hedging in the Ship Recycling Marketen_US
dc.typeMaster thesisen_US


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