Gestion de portefeuille et analyse multicritère PDF Download

Author: Christian Hurson
Publisher: FeniXX
ISBN: 2402034114
Category : Business & Economics
Languages : fr
Pages : 118

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Book Description
Analyse de la capacité bénéficiaire de la firme émettrice et évaluation du rendement et du risque sont deux aspects de la gestion de portefeuilles. Dès lors, le problème est de nature multicritère et l’aide multicritère à la décision fournit un cadre méthodologique approprié. De plus, ce type de procédure présente l’avantage de tenir compte des préférences et contraintes spécifiques d’un investisseur. L’objet de cet ouvrage est de proposer une méthodologie d’aide multicritère à la gestion de portefeuilles, il fait également l’analyse des approches classiques et présente les concepts de base de l’aide multicritère à la décision. Cet ouvrage s’adresse à un large public : professionnels de la gestion de portefeuilles, chercheurs, étudiants et enseignants en gestion ou sciences économiques.

Author: Christian Hurson
Publisher:
ISBN: 9782717834222
Category :
Languages : fr
Pages : 108

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Author: Kokouvi Agbemebia
Publisher:
ISBN:
Category :
Languages : fr
Pages :

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Book Description
L'investissement dans les titres des sociétés non cotées soulève la question de l'inapplicabilité des modèles financiers traditionnels à l'évaluation et à la constitution de portefeuille des titres non cotés. Le problème provient d'une part de l'absence de prix et des normes de marché, et d'autre part de l'inefficience des marchés des titres non cotés. Compte tenu des spécificités des sociétés non cotées et du comportement des investisseurs s'intéressant aux titres de ces sociétés, une approche multicritère et constructive semble adaptée à l'évaluation et à la sélection de ces titres spécifiques. L'objet de cette thèse est d'étudier les conditions d'adaptation de cette nouvelle approche à la gestion de portefeuille des titres non cotés. Des analyses théoriques et empiriques ont permis de mettre en évidence : -un degré de cohérence de l'approche multicritère relativement important aves les rélités observées dans l'univers du non coté -un grand pouvoir opérationnel.

Author: Salvatore Greco
Publisher: Springer
ISBN: 149393094X
Category : Business & Economics
Languages : en
Pages : 1356

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Book Description
In two volumes, this new edition presents the state of the art in Multiple Criteria Decision Analysis (MCDA). Reflecting the explosive growth in the field seen during the last several years, the editors not only present surveys of the foundations of MCDA, but look as well at many new areas and new applications. Individual chapter authors are among the most prestigious names in MCDA research, and combined their chapters bring the field completely up to date. Part I of the book considers the history and current state of MCDA, with surveys that cover the early history of MCDA and an overview that discusses the “pre-theoretical” assumptions of MCDA. Part II then presents the foundations of MCDA, with individual chapters that provide a very exhaustive review of preference modeling, along with a chapter devoted to the axiomatic basis of the different models that multiple criteria preferences. Part III looks at outranking methods, with three chapters that consider the ELECTRE methods, PROMETHEE methods, and a look at the rich literature of other outranking methods. Part IV, on Multiattribute Utility and Value Theories (MAUT), presents chapters on the fundamentals of this approach, the very well known UTA methods, the Analytic Hierarchy Process (AHP) and its more recent extension, the Analytic Network Process (ANP), as well as a chapter on MACBETH (Measuring Attractiveness by a Categorical Based Evaluation Technique). Part V looks at Non-Classical MCDA Approaches, with chapters on risk and uncertainty in MCDA, the decision rule approach to MCDA, the fuzzy integral approach, the verbal decision methods, and a tentative assessment of the role of fuzzy sets in decision analysis. Part VI, on Multiobjective Optimization, contains chapters on recent developments of vector and set optimization, the state of the art in continuous multiobjective programming, multiobjective combinatorial optimization, fuzzy multicriteria optimization, a review of the field of goal programming, interactive methods for solving multiobjective optimization problems, and relationships between MCDA and evolutionary multiobjective optimization (EMO). Part VII, on Applications, selects some of the most significant areas, including contributions of MCDA in finance, energy planning problems, telecommunication network planning and design, sustainable development, and portfolio analysis. Finally, Part VIII, on MCDM software, presents well known MCDA software packages.

Author: Salvatore Greco
Publisher: Springer Science & Business Media
ISBN: 0387230815
Category : Business & Economics
Languages : en
Pages : 1063

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Book Description
Multiple Criteria Decision Analysis: State of the Art Surveys provides survey articles and references of the seminal or state-of-the-art research on MCDA. The material covered ranges from the foundations of MCDA, over various MCDA methodologies (outranking methods, multiattribute utility and value theories, non-classical approaches) to multiobjective mathematical programming, MCDA applications, and software. This vast amount of material is organized in 8 parts, with a total of 25 chapters. More than 2000 references are listed.

Author: Panos Xidonas
Publisher: Springer Science & Business Media
ISBN: 1461436702
Category : Mathematics
Languages : en
Pages : 138

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Book Description
The primary purpose in this book is to present an integrated and innovative methodological approach for the construction and selection of equity portfolios. The approach takes into account the inherent multidimensional nature of the problem, while allowing the decision makers to incorporate specified preferences in the decision processes. A fundamental principle of modern portfolio theory is that comparisons between portfolios are generally made using two criteria; the expected return and portfolio variance. According to most of the portfolio models derived from the stochastic dominance approach, the group of portfolios open to comparisons is divided into two parts: the efficient portfolios, and the dominated. This work integrates the two approaches providing a unified model for decision making in portfolio management with multiple criteria.​

Author: Michael Doumpos
Publisher: Springer Science & Business Media
ISBN: 0306481057
Category : Business & Economics
Languages : en
Pages : 264

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Book Description
The book discusses a new approach to the classification problem following the decision support orientation of multicriteria decision aid. The book reviews the existing research on the development of classification methods, investigating the corresponding model development procedures, and providing a thorough analysis of their performance both in experimental situations and real-world problems from the field of finance. Audience: Researchers and professionals working in management science, decision analysis, operations research, financial/banking analysis, economics, statistics, computer science, as well as graduate students in management science and operations research.

Author: Elissaios Sarmas
Publisher: Springer Nature
ISBN: 3030537439
Category : Business & Economics
Languages : en
Pages : 176

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Book Description
This book covers topics in portfolio management and multicriteria decision analysis (MCDA), presenting a transparent and unified methodology for the portfolio construction process. The most important feature of the book includes the proposed methodological framework that integrates two individual subsystems, the portfolio selection subsystem and the portfolio optimization subsystem. An additional highlight of the book includes the detailed, step-by-step implementation of the proposed multicriteria algorithms in Python. The implementation is presented in detail; each step is elaborately described, from the input of the data to the extraction of the results. Algorithms are organized into small cells of code, accompanied by targeted remarks and comments, in order to help the reader to fully understand their mechanics. Readers are provided with a link to access the source code through GitHub. This Work may also be considered as a reference which presents the state-of-art research on portfolio construction with multiple and complex investment objectives and constraints. The book consists of eight chapters. A brief introduction is provided in Chapter 1. The fundamental issues of modern portfolio theory are discussed in Chapter 2. In Chapter 3, the various multicriteria decision aid methods, either discrete or continuous, are concisely described. In Chapter 4, a comprehensive review of the published literature in the field of multicriteria portfolio management is considered. In Chapter 5, an integrated and original multicriteria portfolio construction methodology is developed. Chapter 6 presents the web-based information system, in which the suggested methodological framework has been implemented. In Chapter 7, the experimental application of the proposed methodology is discussed and in Chapter 8, the authors provide overall conclusions. The readership of the book aims to be a diverse group, including fund managers, risk managers, investment advisors, bankers, private investors, analytics scientists, operations researchers scientists, and computer engineers, to name just several. Portions of the book may be used as instructional for either advanced undergraduate or post-graduate courses in investment analysis, portfolio engineering, decision science, computer science, or financial engineering.

Author: Naji Pierre Jalkh
Publisher:
ISBN:
Category :
Languages : fr
Pages : 219

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Author: Constantin Zopounidis
Publisher: Springer Science & Business Media
ISBN: 146154663X
Category : Computers
Languages : en
Pages : 230

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Book Description
This book provides a new point of view on the field of financial engineering, through the application of multicriteria intelligent decision aiding systems. The aim of the book is to provide a review of the research in the area and to explore the adequacy of the tools and systems developed according to this innovative approach in addressing complex financial decision problems, encountered within the field of financial engineering. Audience: Researchers and professionals such as financial managers, financial engineers, investors, operations research specialists, computer scientists, management scientists and economists.