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Option pricing using jump diffusion model: a case of stock markets of selected east African countries

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dc.creator Novat, Kimaro
dc.date 2020-09-18T06:33:57Z
dc.date 2020-09-18T06:33:57Z
dc.date 2020-03
dc.date.accessioned 2022-10-25T09:14:56Z
dc.date.available 2022-10-25T09:14:56Z
dc.identifier https://dspace.nm-aist.ac.tz/handle/20.500.12479/918
dc.identifier.uri http://hdl.handle.net/123456789/94486
dc.description A Dissertation Submitted in Partial Fulfillment of the Requirements for the Degree of Master’s in Mathematical and Computer Sciences and Engineering of the Nelson Mandela African Institution of Science and Technology
dc.description The stock price is characterized by several features which can only be captured by the best model. To investigate this the Merton's jump-diffusion model was developed and applied to the selected stocks of three East African communit y countries’ stock markets. The daily closing stock prices of the Nairobi Securities Exchange, the Dar es Salaam Stock Exchange and Uganda Securities Exchange over a period of five (5) years from 1 st July, 2013 to 1 st July, 2018 were analyzed. The objective of this analysis was to investigate how best the developed model do price options when the stock price features of three East African stock markets are incorporated into the model. The Merton's jump-diffusion model was employed as a stochastic differential equation. While the Maximum Likelihood Estimation method was used to estimate the optimal model parameters and implemented with MATLAB. For comparison purpose, the researcher estimated the parameters of the Black- Scholes model. The empirical results show that the Merton Jump Diffusion gives realistic option price values for the selected stocks due to the incorporation of the compound Poison process. On the other hand, the selected stocks from all three markets exhibit several jumps as it was evidenced from non-zero values of jump intensities (lambda). Also, the log-returns density of Merton reveals the presence of volatility and leptokurtic features due to the presence of both negative and positive skewness and excessive kurtosis values. Keywords: Kurtosis, Options, Leptokurtic.
dc.format application/pdf
dc.language en
dc.publisher NM-AIST
dc.rights Attribution-NonCommercial-ShareAlike 4.0 International
dc.rights http://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subject Research Subject Categories::MATHEMATICS
dc.title Option pricing using jump diffusion model: a case of stock markets of selected east African countries
dc.type Thesis


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