Multiobjective Programming and Multiattribute Utility Functions in Portfolio Optimization

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Publisher :
ISBN 13 :
Total Pages : 16 pages
Book Rating : 4.:/5 (174 download)

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Book Synopsis Multiobjective Programming and Multiattribute Utility Functions in Portfolio Optimization by :

Download or read book Multiobjective Programming and Multiattribute Utility Functions in Portfolio Optimization written by and published by . This book was released on 2006 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Multiobjective Programming and Multiattribute Utility Functions in Portfolio

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Publisher :
ISBN 13 :
Total Pages : 32 pages
Book Rating : 4.:/5 (166 download)

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Book Synopsis Multiobjective Programming and Multiattribute Utility Functions in Portfolio by : Matthias Ehrgott

Download or read book Multiobjective Programming and Multiattribute Utility Functions in Portfolio written by Matthias Ehrgott and published by . This book was released on 2006 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Portfolio Decision Analysis

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Publisher : Springer Science & Business Media
ISBN 13 : 1441999434
Total Pages : 410 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Portfolio Decision Analysis by : Ahti Salo

Download or read book Portfolio Decision Analysis written by Ahti Salo and published by Springer Science & Business Media. This book was released on 2011-08-12 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Operations Research Proceedings 2022

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Publisher : Springer Nature
ISBN 13 : 3031249070
Total Pages : 619 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Operations Research Proceedings 2022 by : Oliver Grothe

Download or read book Operations Research Proceedings 2022 written by Oliver Grothe and published by Springer Nature. This book was released on 2023-09-30 with total page 619 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers a selection of peer-reviewed papers presented at the International Conference on Operations Research (OR 2022), which was held at Karlsruhe Institute of Technology, Germany, on September 6-9, 2022. KIT’s Institute for Operations Research (IOR) hosted the conference together with the Institute for Industrial Production (IIP), the Institute for Automation and Applied Informatics (IAI), and the Institute for Material Handling and Logistics (IFL). The respective papers discuss classical mathematical optimization, statistics and simulation techniques. These are complemented by computer science methods, and by tools for processing data, designing and implementing information systems. The book also examines recent advances in information technology, which allow big data volumes to be processed and enable real-time predictive and prescriptive business analytics to drive decisions and actions. Lastly, it includes problems modeled and treated while taking into account uncertainty, risk management, behavioral issues, etc.

Advances in Electrical Engineering and Computational Science

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Publisher : Springer Science & Business Media
ISBN 13 : 9048123119
Total Pages : 728 pages
Book Rating : 4.0/5 (481 download)

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Book Synopsis Advances in Electrical Engineering and Computational Science by : Len Gelman

Download or read book Advances in Electrical Engineering and Computational Science written by Len Gelman and published by Springer Science & Business Media. This book was released on 2009-04-21 with total page 728 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Electrical Engineering and Computational Science contains sixty-one revised and extended research articles written by prominent researchers participating in the conference. Topics covered include Control Engineering, Network Management, Wireless Networks, Biotechnology, Signal Processing, Computational Intelligence, Computational Statistics, Internet Computing, High Performance Computing, and industrial applications. Advances in Electrical Engineering and Computational Science will offer the state of art of tremendous advances in electrical engineering and computational science and also serve as an excellent reference work for researchers and graduate students working with/on electrical engineering and computational science.

Issues in Information Science: Information Technology, Systems, and Security: 2011 Edition

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Publisher : ScholarlyEditions
ISBN 13 : 1464967792
Total Pages : 153 pages
Book Rating : 4.4/5 (649 download)

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Book Synopsis Issues in Information Science: Information Technology, Systems, and Security: 2011 Edition by :

Download or read book Issues in Information Science: Information Technology, Systems, and Security: 2011 Edition written by and published by ScholarlyEditions. This book was released on 2012-01-09 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: Issues in Information Science: Information Technology, Systems, and Security: 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Information Science—Information Technology, Systems, and Security. The editors have built Issues in Information Science: Information Technology, Systems, and Security: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Information Science—Information Technology, Systems, and Security in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Information Science: Information Technology, Systems, and Security: 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Modelling, Computation and Optimization in Information Systems and Management Sciences

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Publisher : Springer
ISBN 13 : 3319181610
Total Pages : 521 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Modelling, Computation and Optimization in Information Systems and Management Sciences by : Hoai An Le Thi

Download or read book Modelling, Computation and Optimization in Information Systems and Management Sciences written by Hoai An Le Thi and published by Springer. This book was released on 2015-05-04 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings set contains 85 selected full papers presented at the 3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences - MCO 2015, held on May 11–13, 2015 at Lorraine University, France. The present part I of the 2 volume set includes articles devoted to Combinatorial optimization and applications, DC programming and DCA: thirty years of Developments, Dynamic Optimization, Modelling and Optimization in financial engineering, Multiobjective programming, Numerical Optimization, Spline Approximation and Optimization, as well as Variational Principles and Applications.

Multi-Objective Linear Programming in Portfolio Selection

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (13 download)

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Book Synopsis Multi-Objective Linear Programming in Portfolio Selection by : Gayatri Biswal

Download or read book Multi-Objective Linear Programming in Portfolio Selection written by Gayatri Biswal and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Portfolio theory originally proposed by Markowitz is based on the assumption that the utility of an investor is a function of two factors, viz., mean and variance (or standard deviation) of return. However, the single index model of Sharpe is a statistical representation of return generating process that expresses return on stock in the form of a regression equation. Literature review on investment portfolio management shows that Sharpe's coefficient is the most commonly used performance measure in the determination of optimal portfolio. Sharpe's model is a linear programming model of the problem considering as the measure of risk. The present paper, building on the above model, proposes a multi-objective linear programming portfolio selection model that ensures a nondominated solution on the efficient frontier based on the outputs of the single index model. Taking Dow Jones Industrial Average (DJIA) as the market index and considering monthly indices along with the monthly prices of 28 securities for the period from March 1999 to March 2015, this model solves a practical portfolio selection problem in a multi-objective framework. The proposed model also shows its superiority over Sharpe's single index model.

Developments in Mean-Variance Efficient Portfolio Selection

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Publisher : Springer
ISBN 13 : 1137359927
Total Pages : 259 pages
Book Rating : 4.1/5 (373 download)

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Book Synopsis Developments in Mean-Variance Efficient Portfolio Selection by : M. Agarwal

Download or read book Developments in Mean-Variance Efficient Portfolio Selection written by M. Agarwal and published by Springer. This book was released on 2015-12-11 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses new determinants for optimal portfolio selection. It reviews the existing modelling framework and creates mean-variance efficient portfolios from the securities companies on the National Stock Exchange. Comparisons enable researchers to rank them in terms of their effectiveness in the present day Indian securities market.

Encyclopedia of Optimization

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Publisher : Springer Science & Business Media
ISBN 13 : 0387747583
Total Pages : 4646 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Encyclopedia of Optimization by : Christodoulos A. Floudas

Download or read book Encyclopedia of Optimization written by Christodoulos A. Floudas and published by Springer Science & Business Media. This book was released on 2008-09-04 with total page 4646 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of the Encyclopedia of Optimization is to introduce the reader to a complete set of topics that show the spectrum of research, the richness of ideas, and the breadth of applications that has come from this field. The second edition builds on the success of the former edition with more than 150 completely new entries, designed to ensure that the reference addresses recent areas where optimization theories and techniques have advanced. Particularly heavy attention resulted in health science and transportation, with entries such as "Algorithms for Genomics", "Optimization and Radiotherapy Treatment Design", and "Crew Scheduling".

Portfolio-multiattribute Utility Analysis

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ISBN 13 :
Total Pages : 418 pages
Book Rating : 4.:/5 (89 download)

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Book Synopsis Portfolio-multiattribute Utility Analysis by : Marvin Leonard Feldman

Download or read book Portfolio-multiattribute Utility Analysis written by Marvin Leonard Feldman and published by . This book was released on 1979 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Fuzzy Portfolio Optimization

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Publisher : Springer
ISBN 13 : 3642546528
Total Pages : 329 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis Fuzzy Portfolio Optimization by : Pankaj Gupta

Download or read book Fuzzy Portfolio Optimization written by Pankaj Gupta and published by Springer. This book was released on 2014-03-17 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph presents a comprehensive study of portfolio optimization, an important area of quantitative finance. Considering that the information available in financial markets is incomplete and that the markets are affected by vagueness and ambiguity, the monograph deals with fuzzy portfolio optimization models. At first, the book makes the reader familiar with basic concepts, including the classical mean–variance portfolio analysis. Then, it introduces advanced optimization techniques and applies them for the development of various multi-criteria portfolio optimization models in an uncertain environment. The models are developed considering both the financial and non-financial criteria of investment decision making, and the inputs from the investment experts. The utility of these models in practice is then demonstrated using numerical illustrations based on real-world data, which were collected from one of the premier stock exchanges in India. The book addresses both academics and professionals pursuing advanced research and/or engaged in practical issues in the rapidly evolving field of portfolio optimization.

Multiobjective Optimization: Behavioral and Computational Considerations

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Publisher : Springer Science & Business Media
ISBN 13 : 146153612X
Total Pages : 178 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Multiobjective Optimization: Behavioral and Computational Considerations by : Jeffrey L. Ringuest

Download or read book Multiobjective Optimization: Behavioral and Computational Considerations written by Jeffrey L. Ringuest and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: Throughout the development of mathematical programming researchers have paid great attention to problems that are described by a single objective that can only be achieved subject to satisfying a set of restrictions or constraints. Recently, it has been recognized that the use of a single objective limits the applicability of In reality, many multiobjective mathematical programming models. situations exist and frequently these mUltiple objectives are in direct conflict. Research on multiobjective problems can be broken down into two broad categories: multiobjective optimization and multicriterion decision theory. Multiobjective optimization models are based on techniques such as linear programming. In general, the multiobjective optimization problem can be defined as finding a feasible alternative that yields the most preferred set of values for the objective functions. This problem differs from a single objective because subjective methods are required to determine which alternative is most preferred. A body of literature parallel to that m multiobjective optimization has been developing in the area of multicriterion decision theory. These models are based on classical decision analysis, particularly utility theory. One focus of this research has been the development and testing of procedures for estimating multiattribute utility functions that are consistent with rational decision maker behavior. A utility function provides a model of a decision maker's choice among alternatives. This literature is directly xii MULTIOBJECTIVE OPTIMIZATION applicable to multiobjective optimization and provides much needed insight into the subjective character of that problem.

Multi-Objective Portfolio Selection Model with Diversification by Neutrosophic Optimization Technique

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Publisher : Infinite Study
ISBN 13 :
Total Pages : 10 pages
Book Rating : 4./5 ( download)

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Book Synopsis Multi-Objective Portfolio Selection Model with Diversification by Neutrosophic Optimization Technique by : Sahidul Islam

Download or read book Multi-Objective Portfolio Selection Model with Diversification by Neutrosophic Optimization Technique written by Sahidul Islam and published by Infinite Study. This book was released on with total page 10 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper, we first consider a multi-objective Portfolio Selection model and then we add another entropy objective function and next we generalized the model. We solve the problems using Neutrosophic optimization technique. The models are illustrated with numerical examples.

Multicriteria Portfolio Construction with Python

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Publisher : Springer Nature
ISBN 13 : 3030537439
Total Pages : 176 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Multicriteria Portfolio Construction with Python by : Elissaios Sarmas

Download or read book Multicriteria Portfolio Construction with Python written by Elissaios Sarmas and published by Springer Nature. This book was released on 2020-10-17 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Multiple Objective and Goal Programming

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Publisher : Springer Science & Business Media
ISBN 13 : 3790818127
Total Pages : 437 pages
Book Rating : 4.7/5 (98 download)

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Book Synopsis Multiple Objective and Goal Programming by : Tadeusz Trzaskalik

Download or read book Multiple Objective and Goal Programming written by Tadeusz Trzaskalik and published by Springer Science & Business Media. This book was released on 2013-06-05 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is dedicated to multi-objective methods in decision making. The first part which is devoted to theoretical aspects, covers a broad range of multi-objective methods such as multiple linear programming, vector optimisation, fuzzy goal programming, data envelopment analysis, game theory, and dynamic programming. The reader who is interested in practical applications, will find in the remaining parts a variety of approaches applied in numerous fields including production planning, logistics, marketing, and finance.

Multicriteria Portfolio Management

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Publisher : Springer Science & Business Media
ISBN 13 : 1461436702
Total Pages : 138 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Multicriteria Portfolio Management by : Panos Xidonas

Download or read book Multicriteria Portfolio Management written by Panos Xidonas and published by Springer Science & Business Media. This book was released on 2012-05-09 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.​