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dc.contributor.authorNg'eno, William Kipyegon
dc.date.accessioned2019-05-08T13:26:16Z
dc.date.available2019-05-08T13:26:16Z
dc.date.issued2018
dc.identifier.urihttp://hdl.handle.net/11071/6491
dc.descriptionA Research project submitted in partial fulfillment of the requirements for the degree of Bachelor of Business Science in Actuarial Science at Strathmore Universityen_US
dc.description.abstractIdeally, there should be a match between the demand for housing in an economy and its supply. This would ensure stability in house prices as well as affordability (Munene, 2010). In sub-Saharan Africa, slum populations grow at 4.5 percent per annum (Marx, Stoker, & Suri, 2013). At this rate, slum populations would double every fifteen years. It is expected that Nairobi 's population will grow to over 8 million by the year 2025 given the rapid urban population growth rate. Unlike cities in developed countries, this increase is not accompanied by a corresponding improvement in socio-economic and environmental development (Mutisya & Y arime, 2011 ).en_US
dc.language.isoen_USen_US
dc.publisherStrathmore Universityen_US
dc.subjectmortgage securitiesen_US
dc.subjectFinancial optimizationen_US
dc.subjectLoansen_US
dc.titleA Dynamic financial optimization approach to structuring mortgage backed securities in Kenyaen_US
dc.typeThesisen_US


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