Portfolio Decision Analysis

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Portfolio Decision Analysis

Author : Ahti Salo,Jeffrey Keisler,Alec Morton
Publisher : Springer Science & Business Media
Page : 409 pages
File Size : 45,5 Mb
Release : 2011-08-12
Category : Business & Economics
ISBN : 1441999434

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Portfolio Decision Analysis by Ahti Salo,Jeffrey Keisler,Alec Morton Pdf

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.

Experimental Investigation of Human Decision Processes in Portfolio Decision Analysis

Author : Yi Li
Publisher : GRIN Verlag
Page : 74 pages
File Size : 46,7 Mb
Release : 2015-11-27
Category : Psychology
ISBN : 9783668097438

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Experimental Investigation of Human Decision Processes in Portfolio Decision Analysis by Yi Li Pdf

Master's Thesis from the year 2013 in the subject Psychology - Miscellaneous, grade: 1.7, Technical University of Munich (Lehrstuhl für Technische Dienstleistungen und Operations Management), course: Technische Dienstleistungen und Operations Management, language: English, abstract: Till now operations management mainly dealt with finding appropriate models to facilitate decision making processes, but these theoretical concepts did not always help to deal with actual processes in practice. Thus the understanding of human behaviour becomes more and more important. Furthermore the behavioural aspect of the decision making process plays a big role, as everyone of us would face resource allocation situations or portfolio decisions and people always do not make optimal decisions as mathematical models would do, but rather a completely another way often based on heuristics. Therefore it is interesting to investigate how people tackle such decision making situations intuitively and which cognitive strategies they follow thereby. This work aims to give a detailed overview about the relating literatures at first. Then decision making processes in portfolio decision situations are experimentally investigated regarding to behavioural aspects, in this case concerning knapsack problems, with the application of the methodology verbal protocol analysis. Concrete heuristics which subjects were following during the decision process could be identified and classified under the terms of certain criterions for further analysis. Hereby verbal protocol analysis helped to collect good and applicable data for determining specific behaviour of people in portfolio decision processes.

Quantitative Methods for Portfolio Analysis

Author : T. Kariya
Publisher : Springer Science & Business Media
Page : 321 pages
File Size : 49,7 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9789401117210

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Quantitative Methods for Portfolio Analysis by T. Kariya Pdf

Quantitative Methods for Portfolio Analysis provides practical models and methods for the quantitative analysis of financial asset prices, construction of various portfolios, and computer-assisted trading systems. In particular, this book is required reading for: (1) `Quants' (quantitatively-inclined analysts) in financial industries; (2) financial engineers in investment banks, securities companies, derivative-trading companies, software houses, etc., who are developing portfolio trading systems; (3) graduate students and specialists in the areas of finance, business, economics, statistics, financial engineering; and (4) investors who are interested in Japanese financial markets. Throughout the book the emphasis is placed on the originality and usefulness of models and methods for the construction of portfolios and investment decision making, and examples are provided to demonstrate, with practical analysis, models for Japanese financial markets.

Alternative Decision-Making Models for Financial Portfolio Management: Emerging Research and Opportunities

Author : Spaseski, Narela
Publisher : IGI Global
Page : 333 pages
File Size : 41,7 Mb
Release : 2017-08-11
Category : Business & Economics
ISBN : 9781522532606

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Alternative Decision-Making Models for Financial Portfolio Management: Emerging Research and Opportunities by Spaseski, Narela Pdf

Economics is an integral aspect to every successful society, yet basic financial practices have gone unchanged for decades. Analyzing unconventional finance methods can provide new ways to ensure personal financial futures on an individual level, as well as boosting international economies. Alternative Decision-Making Models for Financial Portfolio Management: Emerging Research and Opportunities is an essential reference source that discusses methods and techniques that make financial administration more efficient for professionals in economic fields. Featuring relevant topics such as mean-variance portfolio theory, decision tree analysis, risk protection strategies, and asset-liability management, this publication is ideal for academicians, students, economists, and researchers that would like to stay current on new and innovative methods to transform the financial realm.

Handbook of Decision Analysis

Author : Gregory S. Parnell,Terry Bresnick,Steven N. Tani,Eric R. Johnson
Publisher : John Wiley & Sons
Page : 441 pages
File Size : 46,8 Mb
Release : 2013-01-24
Category : Business & Economics
ISBN : 9781118515846

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Handbook of Decision Analysis by Gregory S. Parnell,Terry Bresnick,Steven N. Tani,Eric R. Johnson Pdf

A ONE-OF-A-KIND GUIDE TO THE BEST PRACTICES IN DECISION ANALYSIS Decision analysis provides powerful tools for addressing complex decisions that involve uncertainty and multiple objectives, yet most training materials on the subject overlook the soft skills that are essential for success in the field. This unique resource fills this gap in the decision analysis literature and features both soft personal/interpersonal skills and the hard technical skills involving mathematics and modeling. Readers will learn how to identify and overcome the numerous challenges of decision making, choose the appropriate decision process, lead and manage teams, and create value for their organization. Performing modeling analysis, assessing risk, and implementing decisions are also addressed throughout. Additional features include: Key insights gleaned from decision analysis applications and behavioral decision analysis research Integrated coverage of the techniques of single- and multiple-objective decision analysis Multiple qualitative and quantitative techniques presented for each key decision analysis task Three substantive real-world case studies illustrating diverse strategies for dealing with the challenges of decision making Extensive references for mathematical proofs and advanced topics The Handbook of Decision Analysis is an essential reference for academics and practitioners in various fields including business, operations research, engineering, and science. The book also serves as a supplement for courses at the upper-undergraduate and graduate levels.

Investment Portfolio Decision-making

Author : James L. Bickler (compiler),Paul Anthony Samuelson
Publisher : Unknown
Page : 392 pages
File Size : 45,7 Mb
Release : 1974
Category : Decision-making
ISBN : UOM:39076005844316

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Investment Portfolio Decision-making by James L. Bickler (compiler),Paul Anthony Samuelson Pdf

Portfolio Optimization and Performance Analysis

Author : Jean-Luc Prigent
Publisher : CRC Press
Page : 451 pages
File Size : 50,8 Mb
Release : 2007-05-07
Category : Business & Economics
ISBN : 9781420010930

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Portfolio Optimization and Performance Analysis by Jean-Luc Prigent Pdf

In answer to the intense development of new financial products and the increasing complexity of portfolio management theory, Portfolio Optimization and Performance Analysis offers a solid grounding in modern portfolio theory. The book presents both standard and novel results on the axiomatics of the individual choice in an uncertain framework, cont

Multiple Criteria Decision Analysis

Author : Salvatore Greco,Matthias Ehrgott,José Rui Figueira
Publisher : Springer
Page : 1347 pages
File Size : 41,9 Mb
Release : 2016-02-18
Category : Business & Economics
ISBN : 9781493930944

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Multiple Criteria Decision Analysis by Salvatore Greco,Matthias Ehrgott,José Rui Figueira Pdf

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.

Risk and Portfolio Analysis

Author : Henrik Hult,Filip Lindskog,Ola Hammarlid,Carl Johan Rehn
Publisher : Springer Science & Business Media
Page : 343 pages
File Size : 44,5 Mb
Release : 2012-07-20
Category : Mathematics
ISBN : 9781461441038

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Risk and Portfolio Analysis by Henrik Hult,Filip Lindskog,Ola Hammarlid,Carl Johan Rehn Pdf

Investment and risk management problems are fundamental problems for financial institutions and involve both speculative and hedging decisions. A structured approach to these problems naturally leads one to the field of applied mathematics in order to translate subjective probability beliefs and attitudes towards risk and reward into actual decisions. In Risk and Portfolio Analysis the authors present sound principles and useful methods for making investment and risk management decisions in the presence of hedgeable and non-hedgeable risks using the simplest possible principles, methods, and models that still capture the essential features of the real-world problems. They use rigorous, yet elementary mathematics, avoiding technically advanced approaches which have no clear methodological purpose and are practically irrelevant. The material progresses systematically and topics such as the pricing and hedging of derivative contracts, investment and hedging principles from portfolio theory, and risk measurement and multivariate models from risk management are covered appropriately. The theory is combined with numerous real-world examples that illustrate how the principles, methods, and models can be combined to approach concrete problems and to draw useful conclusions. Exercises are included at the end of the chapters to help reinforce the text and provide insight. This book will serve advanced undergraduate and graduate students, and practitioners in insurance, finance as well as regulators. Prerequisites include undergraduate level courses in linear algebra, analysis, statistics and probability.

Multiple Criteria Decision Analysis

Author : Valerie Belton,Theodor Stewart
Publisher : Springer Science & Business Media
Page : 381 pages
File Size : 50,9 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9781461514954

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Multiple Criteria Decision Analysis by Valerie Belton,Theodor Stewart Pdf

The field of multiple criteria decision analysis (MCDA), also termed multiple criteria decision aid, or multiple criteria decision making (MCDM), has developed rapidly over the past quarter century and in the process a number of divergent schools of thought have emerged. This can make it difficult for a new entrant into the field to develop a comprehensive appreciation of the range of tools and approaches which are available to assist decision makers in dealing with the ever-present difficulties of seeking compromise or consensus between conflicting inter ests and goals, i.e. the "multiple criteria". The diversity of philosophies and models makes it equally difficult for potential users of MCDA, i.e. management scientists and/or decision makers facing problems involving conflicting goals, to gain a clear understanding of which methodologies are appropriate to their particular context. Our intention in writing this book has been to provide a compre hensive yet widely accessible overview of the main streams of thought within MCDA. We aim to provide readers with sufficient awareness of the underlying philosophies and theories, understanding of the practi cal details of the methods, and insight into practice to enable them to implement any of the approaches in an informed manner. As the title of the book indicates, our emphasis is on developing an integrated view of MCDA, which we perceive to incorporate both integration of differ ent schools of thought within MCDA, and integration of MCDA with broader management theory, science and practice.

Multi-Criteria Decision Analysis

Author : Igor Linkov,Emily Moberg,Benjamin D. Trump,Boris Yatsalo,Jeffrey M. Keisler
Publisher : CRC Press
Page : 421 pages
File Size : 48,6 Mb
Release : 2020-09-08
Category : Business & Economics
ISBN : 9781000177787

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Multi-Criteria Decision Analysis by Igor Linkov,Emily Moberg,Benjamin D. Trump,Boris Yatsalo,Jeffrey M. Keisler Pdf

Decision analysis has become widely recognized as an important process for translating science into management actions. With climate change and other systemic threats as driving forces in creating environmental and engineering problems, there is a great need for understanding decision making frameworks through a case-study based approach. Management of environmental and engineering projects is often complicated and multidisciplinary in scope and nature, thus issues that arise can be difficult to solve analytically. Multi-Criteria Decision Analysis: Case Studies in Engineering and the Environment provides detailed description of MCDA methods and tools and illustrates their applications through case studies focused on sustainability and system engineering applications. New in the Second Edition: Addresses current and emerging environmental and engineering problems Includes seven new case studies to illustrate different management situations applicable at the international level Builds on real case studies from recent and relevant environmental and engineering management experience Describes advanced MCDA techniques and extensions used by practitioners Provides corresponding decision models implemented using the DECERNS software package Gives a more holistic approach to teaching MCDA methodology with a focus on sustainable solutions and adoption of new technologies, including nanotechnology and synthetic biology Given the novelty and inherent applicability of this decision-making framework to the environmental and engineering fields, a greater number of teaching tools for this topic need to be made available. This book provides those teaching tools, covering the breadth of the applications of MCDA methodologies with clear explanations of the MCDA process. The case studies are implemented in the DECERNS software package, allowing readers to experiment and explore and to understand the full process by which environmental managers assess these problems. This book is a great resource for professionals and students seeking to learn decision analysis techniques and apply similar frameworks to environmental and engineering projects

Decision Analysis for the Professional

Author : Peter McNamee,John Celona
Publisher : Smartorg Incorporated
Page : 339 pages
File Size : 52,9 Mb
Release : 2001
Category : Decision making
ISBN : 0971056900

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Decision Analysis for the Professional by Peter McNamee,John Celona Pdf

Multi-Criteria Decision Analysis to Support Healthcare Decisions

Author : Kevin Marsh,Mireille Goetghebeur,Praveen Thokala,Rob Baltussen
Publisher : Springer
Page : 329 pages
File Size : 49,9 Mb
Release : 2017-04-18
Category : Medical
ISBN : 9783319475400

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Multi-Criteria Decision Analysis to Support Healthcare Decisions by Kevin Marsh,Mireille Goetghebeur,Praveen Thokala,Rob Baltussen Pdf

Representing the first collection on the topic, this book builds from foundations to case studies, to future prospects, providing the reader with a rich and comprehensive understanding of the use of multi-criteria decision analysis (MCDA) in healthcare. The first section of the collection presents the foundations of MCDA as it is applied to healthcare decisions, providing guidance on the ethical and theoretical underpinnings of MCDA and how to select MCDA methods appropriate to different decision settings. Section two comprises a collection of case studies spanning the decision continuum, including portfolio development, benefit–risk assessment, health technology assessment, priority setting, resource optimisation, clinical practice and shared decision making. Section three explores future directions in the application of MCDA to healthcare and identifies opportunities for further research to support these.

Portfolio Analysis

Author : Xiaoxia Huang
Publisher : Springer Science & Business Media
Page : 188 pages
File Size : 54,5 Mb
Release : 2010-02-18
Category : Computers
ISBN : 9783642112133

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Portfolio Analysis by Xiaoxia Huang Pdf

The most salient feature of security returns is uncertainty. The purpose of the book is to provide systematically a quantitative method for analyzing return and risk of a portfolio investment in di?erent kinds of uncertainty and present the ways for striking a balance between investment return and risk such that an optimal portfolio can be obtained. In classical portfolio theory, security returns were assumed to be random variables, and probability theory was the main mathematical tool for h- dling uncertainty in the past. However,the world is complex and uncertainty is varied. Randomnessis nottheonly typeofuncertaintyinreality,especially when human factors are included. Security market, one of the most complex marketsintheworld,containsalmostallkindsofuncertainty. Thesecurity- turns are sensitive to various factors including economic, social, political and very importantly, people’s psychological factors. Therefore, other than strict probability method, scholars have proposed some other approaches including imprecise probability, possibility, and interval set methods, etc. , to deal with uncertaintyinportfolioselectionsince1990’s. Inthisbook,wewantto addto thetools existingin sciencesomenewandunorthodoxapproachesforanal- ing uncertainty of portfolio returns. When security returns are fuzzy, we use credibility which has self-duality property as the basic measure and employ credibilitytheorytohelpmakeselectiondecisionsuchthatthedecisionresult will be consistent with the laws of contradiction and excluded middle. Being awarethat one tool is not enough for solving complex practical problems, we further employ uncertain measure and uncertainty theory to help select an optimal portfolio when security returns behave neither randomly nor fuzzily. One core of portfolio selection is to ?nd a quantitative risk de?nition of a portfolio investment.