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dc.contributor.authorLee, Meng-Yuen_US
dc.contributor.authorYell, Fang-Boen_US
dc.contributor.authorChen, An-Pinen_US
dc.date.accessioned2014-12-08T15:12:44Z-
dc.date.available2014-12-08T15:12:44Z-
dc.date.issued2008-01-01en_US
dc.identifier.issn0165-4896en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.mathsocsci.2007.07.001en_US
dc.identifier.urihttp://hdl.handle.net/11536/9811-
dc.description.abstractThis paper proposes a generalized pricing formula and sensitivity analysis for sequential compound options (SCOs). Most compound options described in literatures, initiating by Geske [Geske, R., 1977. The Valuation of Corporate Liabilities as Compound Options. Journal of Finance and Quantitative Analysis, 12, 541-552; Geske, R., 1979. The Valuation of Compound Options. Journal of Financial Economics 7, 6381.], are simple 2-fold options. Existing research on multi-fold compound options has been limited to sequential compound CALL options whose parameters are constant. The multi-fold sequential compound options proposed in this study are defined as compound options on (compound) options where the call/put property of each fold can be arbitrarily assigned. In addition, the deterministic time-dependent parameters, including interest rate, depression rate and variance of asset price, make the SCOs more flexible. The pricing formula is derived by the risk-neutral method. The partial derivative of a multivariate normal integration, which is an extension of Leibnitz's Rule, is derived in this study and used to derive the SCOs sensitivities. The general results for SCOs presents in this paper can enhance and broaden the use of compound option theory in the study of real options and financial derivatives. (c) 2007 Elsevier B.V. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectsequential compound optionen_US
dc.subjectproject valuationen_US
dc.subjectreal optionen_US
dc.subjectLeibnitz's Ruleen_US
dc.subjectoption pricingen_US
dc.subjectrisk-neutralen_US
dc.titleThe generalized sequential compound options pricing and sensitivity analysisen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.mathsocsci.2007.07.001en_US
dc.identifier.journalMATHEMATICAL SOCIAL SCIENCESen_US
dc.citation.volume55en_US
dc.citation.issue1en_US
dc.citation.spage38en_US
dc.citation.epage54en_US
dc.contributor.department資訊管理與財務金融系 註:原資管所+財金所zh_TW
dc.contributor.departmentDepartment of Information Management and Financeen_US
dc.identifier.wosnumberWOS:000252527700004-
dc.citation.woscount3-
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