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DC FieldValueLanguage
dc.contributorDepartment of Applied Mathematicsen_US
dc.creatorYu, Kwok-wai-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/1377-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic University-
dc.rightsAll rights reserveden_US
dc.titlePricing American options without expiry dateen_US
dcterms.abstractThe history of options trading started prior to 1973. Many different types of options are regularly traded throughout the world. Options on stocks have been traded in Hong Kong since September 1995. Because of the early exercise opportunity, American-type options are more flexible and popular than European-type options. Although many researchers have contributed to deriving pricing formulas for European options, however there are no closed-form formulas for the prices of American options in most cases. The main difficulty is that it is a free boundary value problem. To price an American option, it is important to determine the optimal exercise boundary (and the optimal stopping time). For a perpetual American option, the optimal exercise boundary turns out to be constant through time. The word "perpetual" means that the option has no expiry date. This thesis discusses the martingale approach to pricing perpetual American-type options. A main tool in our approach is the principle of smooth pasting. For simplicity, options in one-stock case are considered first. These options include the perpetual American put option, call option and the perpetual maximum option on one stock. Then we extend our analysis to two-stock case. The perpetual maximum option on two stocks, the perpetual uncapped Margrabe option, the perpetual capped Margrabe options and the perpetual dynamic fund protection are discussed.en_US
dcterms.extentviii, 99 leaves : ill. ; 30 cmen_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued2004en_US
dcterms.educationalLevelAll Masteren_US
dcterms.educationalLevelM.Phil.en_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.LCSHOptions (Finance) -- Prices -- Mathematical modelsen_US
dcterms.accessRightsopen accessen_US

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