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On the Choice of Baselines in Multiattribute Portfolio Analysis: A Cautionary Note
Author(s) -
Robert T. Clemen,
James E. Smith
Publication year - 2009
Publication title -
decision analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.527
H-Index - 22
eISSN - 1545-8504
pISSN - 1545-8490
DOI - 10.1287/deca.1090.0158
Subject(s) - portfolio , baseline (sea) , portfolio optimization , decision maker , set (abstract data type) , project portfolio management , actuarial science , modern portfolio theory , computer science , value (mathematics) , operations research , mathematical economics , economics , management science , mathematics , machine learning , financial economics , project management , management , programming language , oceanography , geology
In multiattribute portfolio optimization, a decision maker must evaluate a number of projects on multiple dimensions and then select the set of projects that optimizes the portfolio's overall value. In this note, we discuss the importance of establishing an appropriate baseline score for not doing a project in multiattribute portfolio analysis. We believe that practitioners often implicitly assume that not doing a project results in the worst possible score on all attributes. We argue that this assumption is often inappropriate and may lead to incorrect recommendations.

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