On Modelling and Pricing Rainfall Derivatives with Seasonality
dc.contributor.author | Leobacher, Gunther | |
dc.contributor.author | Ngare, Philip | |
dc.date.accessioned | 2019-05-07T09:17:07Z | |
dc.date.available | 2019-05-07T09:17:07Z | |
dc.date.issued | 2010 | |
dc.identifier.issn | 1466-4313 | |
dc.identifier.uri | http://ir.mksu.ac.ke/handle/123456780/4372 | |
dc.description.abstract | We 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 companies | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Taylor & Francis | en_US |
dc.subject | Rainfall derivatives | en_US |
dc.subject | Seasonality | en_US |
dc.subject | Discrete-time Markov control process | en_US |
dc.subject | Utility indifference pricing | en_US |
dc.subject | Monte Carlo methods | en_US |
dc.title | On Modelling and Pricing Rainfall Derivatives with Seasonality | en_US |
dc.type | Article | en_US |
Files in this item
This item appears in the following Collection(s)
-
School of Business & Economics [174]
Sholarly Articles by Faculty & Students in School of Business & Economics