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dc.contributor.authorLeobacher, Gunther
dc.contributor.authorNgare, Philip
dc.date.accessioned2013-05-07T10:43:18Z
dc.date.available2013-05-07T10:43:18Z
dc.date.issued2011
dc.identifier.citationApplied Mathematical Finance, Vol. 18, No. 1, 71–91, March 2011en
dc.identifier.urihttp://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/19759
dc.description.abstractWe are interested in pricing rainfall options written on precipitation at specific locations. We assume the existence of a tradeable financial instrument in the market whose price process is affected by the quantity of rainfall. We then construct a suitable ‘Markovian gamma’ model for the rainfall process which accounts for the seasonal change of precipitation and show how maximum likelihood estimators can be obtained for its parameters. We derive optimal strategies for exponential utility from terminal wealth and determine the utility indifference price of the claim. The method is illustrated with actual measured data on rainfall from a location in Kenya and spot prices of Kenyan electricity companiesen
dc.description.urihttp://www.tandfonline.com/doi/abs/10.1080/13504861003795167
dc.language.isoenen
dc.subjectRainfall derivatives,en
dc.subjectSeasonality,en
dc.subjectDiscrete-time Markov control process,en
dc.subjectUtility indifference pricingen
dc.subjectMonte Carlo methodsen
dc.titleOn Modelling and Pricing Rainfall Derivatives with Seasonalityen
dc.typeArticleen


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