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dc.contributor.authorOduor, Brian
dc.contributor.authorMulambula, Adanje
dc.date.accessioned2021-05-12T10:49:13Z
dc.date.available2021-05-12T10:49:13Z
dc.date.issued2019-08
dc.identifier.urihttp://hdl.handle.net/11071/11850
dc.descriptionPaper presented at the 5th Strathmore International Mathematics Conference (SIMC 2019), 12 - 16 August 2019, Strathmore University, Nairobi, Kenyaen_US
dc.description.abstractBlack- Scholes formed the foundation of option pricing. However, some of its assumptions like constant volatility and interest among others are practically impossible to implement hence other option pricing models have been explored to help come up with a much reliable way of predicting the price trends of options. Black-scholes assumed that the daily logarithmic returns of individual stocks are normally distributed. This is not true in practical sense especially in short term intervals because stock prices are able to reproduce the leptokurtic feature and to some extent the volatility smile". To address the above problem the Jump-Diffusion Model and the Kou Double- Exponential Jump-Diffusion Model were presented. But still they have not fully addressed the issue of reliable prediction because the observed implied volatility surface is skewed and tends to flatten out for longer maturities; the two models abilities to produce accurate results are reduced. The study ventures into a research that will involve European logistic-type option pricing with jump diffusion which has not been addressed anywhere in the financial literature. The knowledge of logistic Brownian motion will be used to develop a logistic Brownian motion with jump diffusion model for price process. Existence of jump diffusion will be tested using Augmented Dickey-Fuller (ADF) test. Finally, estimation of volatility will be done using the formed model. The methodology will involve analysis of jump diffusion models for pricing process in particular Vasicek model. Logistic Brownian motion that incorporates jump diffusion process will be considered and then volatility will be estimated using maximum likelihood estimates. Data collected from Nairobi Security market will be analyzed to check the reliability of the formed model. It is hoped that this model will be used by long-term investors to know the impact of jump diffusion behavior of stocks on assets before allocating decisions and profitability of trading strategies. Furthermore, it will help investors to know whether or not stock returns exhibit jump diffusion.en_US
dc.description.sponsorshipJaramogi Oginga Odinga University of Science and Technology, Kenya. Kibabii University, Kenya.en_US
dc.language.isoen_USen_US
dc.publisherStrathmore Universityen_US
dc.subjectJump-Diffusionen_US
dc.subjectBrownian motionen_US
dc.subjectAugmented Dickey-Fuller (ADF) testen_US
dc.titleOn the European logistic-type option pricing with jump diffusionen_US
dc.typeArticleen_US


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  • SIMC 2019 [99]
    5th Strathmore International Mathematics Conference (August 12 – 16, 2019)

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