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dc.contributor.authorLiu, Liping-
dc.contributor.authorShenoy, Catherine-
dc.contributor.authorShenoy, Prakash P.-
dc.date.accessioned2006-06-30T19:40:05Z-
dc.date.available2006-06-30T19:40:05Z-
dc.date.issued2006-07-
dc.identifier.citationLiu, L., C. Shenoy, and P. P. Shenoy, "Knowledge representation and integration for portfolio evaluation using linear belief functions," IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, Vol. 36, No. 4, July 2006, pp. 774--785.en
dc.identifier.urihttp://hdl.handle.net/1808/988-
dc.description.abstractIn this paper, we propose a linear belief function approach to evaluating portfolio performance. By drawing on the notion of linear belief functions, we propose an elementary approach to knowledge representation for expert systems using linear belief functions. We show how to use basic matrices to represent market information and financial knowledge, including complete ignorance, statistical observations, subjective speculations, distributional assumptions, linear relations, and empirical asset pricing models. We then appeal to Dempster’s rule of combination to integrate the knowledge for assessing the overall belief of portfolio performance, and updating the belief by incorporating additional information. We use an example of three gold stocks to illustrate the approach.en
dc.format.extent5439358 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen_USen
dc.publisherThe Institute of Electrical and Electronic Engineers, Inc.en
dc.subjectDempster-Shafer belief functionsen
dc.subjectknowledge-based systemsen
dc.subjectlinear belief functionsen
dc.subjectGaussian belief functionsen
dc.subjectmultivariate normal distributionen
dc.subjectportfolio evaluationen
dc.titleKnowledge representation and integration for portfolio evaluation using linear belief functionsen
dc.typeArticleen
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