Portfolio Decision Analysis : Improved Methods for Resource Allocation
Salo, Ahti and Keisler, Jeffrey and Morton, Alec (2011) Portfolio Decision Analysis : Improved Methods for Resource Allocation. Springer-Verlag. ISBN 9781441999436
Full text not available in this repository.Abstract
Portfolio Decision Analysis: Improved Methods for Resource Allocation provides an extensive, up-to-date coverage of decision analytic methods which help firms and public organizations allocate resources to 'lumpy' investment opportunities while explicitly recognizing relevant financial and non-financial evaluation criteria and the presence of alternative investment opportunities. In particular, it discusses the evolution of these methods, presents new methodological advances and illustrates their use across several application domains. The book offers a many-faceted treatment of portfolio decision analysis (PDA). Among other things, it (i) synthesizes the state-of-play in PDA, (ii) describes novel methodologies, (iii) fosters the deployment of these methodologies, and (iv) contributes to the strengthening of research on PDA. Portfolio problems are widely regarded as the single most important application context of decision analysis, and, with its extensive and unique coverage of these problems, this book is a much-needed addition to the literature. The book also presents innovative treatments of new methodological approaches and their uses in applications. The intended audience consists of practitioners and researchers who wish to gain a good understanding of portfolio decision analysis and insights into how PDA methods can be leveraged in different application contexts. The book can also be employed in courses at the post-graduate level.
ORCID iDs
Salo, Ahti, Keisler, Jeffrey and Morton, Alec ORCID: https://orcid.org/0000-0003-3803-8517;-
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Item type: Book ID code: 45463 Dates: DateEvent2011PublishedSubjects: Social Sciences > Industries. Land use. Labor > Management. Industrial Management Department: Strathclyde Business School > Management Science Depositing user: Pure Administrator Date deposited: 29 Oct 2013 10:15 Last modified: 11 Nov 2024 15:43 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/45463