dc.contributor.author | Njoroge, Christopher Wainaina | |
dc.date.accessioned | 2013-03-15T10:31:35Z | |
dc.date.issued | 15-03-13 | |
dc.identifier.uri | http://hdl.handle.net/11295/14073 | |
dc.description.abstract | Weather affects our daily lives as well as choices. We define the term weather derivative. It is a
new class of investment that is yet to gain ground in Africa since the underlying security
(weather) is not a trade able asset. In our study we look at 6 different pricing methods for
temperature based derivatives. We settle on the one proposed by Alaton and incorporate one of
his suggestions, that is, allowing for temperature volatility to be a stochastic process rather than
some piecewise constant function. Finally, we use the actuarial method of valuation and find out
that the option price greatly depends on our value of the strike price. We conclude that allowing
for the mean reverting parameter to also be a stochastic function will greatly improve our option
pnce. | en |
dc.description.sponsorship | University of Nairobi | en |
dc.language.iso | en | en |
dc.subject | Actuarial Valuation | en |
dc.subject | temperature derivatives | en |
dc.title | Actuarial valuation of temperature derivatives | en |
dc.type | Thesis | en |
local.embargo.terms | 6 months | en |
local.embargo.lift | 2013-09-11T10:31:35Z | |