dc.contributor.author |
Okemwa, Phillip Akuma |
|
dc.date.accessioned |
2018-02-12T12:00:22Z |
|
dc.date.available |
2018-02-12T12:00:22Z |
|
dc.date.issued |
2018-02-12 |
|
dc.identifier.uri |
http://hdl.handle.net/123456789/4050 |
|
dc.description |
Master of Science in
Mathematics (Financial Option) |
en_US |
dc.description.abstract |
This study set out to price rainfall derivatives based on rainfall at a particular location in
Kenya over a given period. We employ a Markovian-Gamma model to model the rainfall
process. In addition, its parameters are determined via maximum likelihood estimation. We
assume existence of a tradable asset whose performance is rainfall dependent. To compute
the prices of the rainfall derivatives, we rely on the Esscher transform, an actuarial tool. We
then compare the Esscher prices with the standard Black-Scholes prices. The results suggest a
certain pattern of movement of the prices in which the derivative price decreases as the strike
price increases in the Black-Scholes whereas they increase on considering the Esscher. The
study is conducted using rainfall and stock market data in Kenya. |
en_US |
dc.description.sponsorship |
Prof. Patrick G.O. Weke
University of Nairobi, Kenya
Prof. John M. Kihoro
Co-operative University, Kenya
Dr. Philip Ngare
University Of Nairobi, Kenya |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
JKUAT-PAUSTI |
en_US |
dc.subject |
Modeling |
en_US |
dc.subject |
Pricing |
en_US |
dc.subject |
Rainfall Derivatives |
en_US |
dc.subject |
HedgeWeather Risk |
en_US |
dc.title |
Modeling and Pricing Rainfall Derivatives to HedgeWeather Risk in Kenya |
en_US |
dc.type |
Thesis |
en_US |