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dc.contributor.authorOnsoti, Alex N
dc.date.accessioned2020-10-28T08:54:27Z
dc.date.available2020-10-28T08:54:27Z
dc.date.issued2020
dc.identifier.urihttp://erepository.uonbi.ac.ke/handle/11295/153105
dc.description.abstractOption trading is one of the activities that take place in the nancial market. Pricing these option is key for investor to ensure that the position they take o ers good returns. The Black & Scholes model is widely used in pricing option although its underlying assumptions are inconsistent with the market dynamics. Some studies have been done aimed at improving the Black & Scholes model and in general the pricing of option. In this paper, we take the same motive but now use the truncated normal distribution instead of the normal distribution that as been used in previous studies. Under the truncated normal distribution, denoted by TND in this paper, the underlying asset’s log-return of is assumed to be bounded below and above. The boundary values are determined by the investor’s perceived realistic price ranges of the underlying asset. The basic statistics of the proposed model are derive. The martingale restriction and closed formulas for option pricing as well as the pricing error are presented. The put - call parity and duality and some of the Greeks are also formulated. From the numerical result of the study, the proposed model performs better than the classical Black & Scholes at di erent price ranges for European options.en_US
dc.language.isoenen_US
dc.publisherUniversity of Nairobien_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectEuropean Option Pricing Using Truncated Normal Distributionen_US
dc.titleEuropean Option Pricing Using Truncated Normal Distributionen_US
dc.typeThesisen_US


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Attribution-NonCommercial-NoDerivs 3.0 United States
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States