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Multicriteria Portfolio Management

Multicriteria Portfolio Management
Author: Panos Xidonas
Publisher: Springer Science & Business Media
Total Pages: 138
Release: 2012-05-09
Genre: Mathematics
ISBN: 1461436702

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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.​


Multicriteria Portfolio Construction with Python

Multicriteria Portfolio Construction with Python
Author: Elissaios Sarmas
Publisher: Springer Nature
Total Pages: 176
Release: 2020-10-17
Genre: Business & Economics
ISBN: 3030537439

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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.


Multicriteria Analysis in Finance

Multicriteria Analysis in Finance
Author: Michael Doumpos
Publisher: Springer Science & Business Media
Total Pages: 111
Release: 2014-04-10
Genre: Business & Economics
ISBN: 3319058649

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This book provides a concise introduction into the fundamentals and applied techniques of multiple criteria decision making in the finance sector. Based on an analysis of the nature of financial decisions and the general methods of financial modelling, risk management and financial engineering, the book introduces into portfolio management, banking management and credit scoring. Finally the book presents an overview of further applications of multi criteria analysis in finance and gives an outlook on future perspectives for the application of MCDA in finance.


Quantitative Portfolio Management

Quantitative Portfolio Management
Author: Michael Isichenko
Publisher: John Wiley & Sons
Total Pages: 311
Release: 2021-08-31
Genre: Business & Economics
ISBN: 1119821320

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Discover foundational and advanced techniques in quantitative equity trading from a veteran insider In Quantitative Portfolio Management: The Art and Science of Statistical Arbitrage, distinguished physicist-turned-quant Dr. Michael Isichenko delivers a systematic review of the quantitative trading of equities, or statistical arbitrage. The book teaches you how to source financial data, learn patterns of asset returns from historical data, generate and combine multiple forecasts, manage risk, build a stock portfolio optimized for risk and trading costs, and execute trades. In this important book, you’ll discover: Machine learning methods of forecasting stock returns in efficient financial markets How to combine multiple forecasts into a single model by using secondary machine learning, dimensionality reduction, and other methods Ways of avoiding the pitfalls of overfitting and the curse of dimensionality, including topics of active research such as “benign overfitting” in machine learning The theoretical and practical aspects of portfolio construction, including multi-factor risk models, multi-period trading costs, and optimal leverage Perfect for investment professionals, like quantitative traders and portfolio managers, Quantitative Portfolio Management will also earn a place in the libraries of data scientists and students in a variety of statistical and quantitative disciplines. It is an indispensable guide for anyone who hopes to improve their understanding of how to apply data science, machine learning, and optimization to the stock market.


Multi-Asset Investing

Multi-Asset Investing
Author: Yoram Lustig
Publisher: Harriman House Limited
Total Pages: 405
Release: 2013-01-07
Genre: Business & Economics
ISBN: 0857192515

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Planning, constructing and managing a multi-asset portfolio A multi-asset investment management approach provides diversification benefits, enhances risk-adjusted returns and enables a portfolio to be tailored to a wide range of investing objectives, whether these are generating returns or income, or matching liabilities. This book is divided into four parts that follow the four stages of the multi-asset investment management process: 1. Establishing objectives: Defining the return objectives, risk objectives and investment constraints of a portfolio. 2. Setting an investment strategy: Setting a plan to achieve investment objectives by thinking about long-term strategic asset allocation, combining asset classes and optimisation to derive the most efficient asset allocation. 3. Implementing a solution: Turning the investment strategy into a portfolio using short-term tactical asset allocation, investment selection and risk management. This section includes examples of investment strategies. 4. Reviewing: Evaluating the performance of a portfolio by examining results, risk, portfolio positioning and the economic environment. By dividing the multi-asset investment process into these well-defined stages, Yoram Lustig guides the reader through the various decisions that have to be made and actions that have to be taken. He builds carefully from defining investment objectives, formulating an investment strategy and the steps of selecting investments, leading to constructing and managing multi-asset portfolios. At each stage the considerations and strategies to be undertaken are detailed, and the description of the process is supported with relevant financial theory as well as practical, real-life examples. 'Multi-asset Investing' is an essential handbook for the modern approach to investment portfolio management.


Portfolio Decision Analysis

Portfolio Decision Analysis
Author: Ahti Salo
Publisher: Springer Science & Business Media
Total Pages: 410
Release: 2011-08-12
Genre: Business & Economics
ISBN: 1441999434

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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.


Multicriteria Analysis

Multicriteria Analysis
Author: Mahdi Zarghami
Publisher: Springer Science & Business Media
Total Pages: 167
Release: 2011-05-27
Genre: Business & Economics
ISBN: 3642179371

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Multicriteria analysis is one of the most important fields of decision science. This book gives an outline of the formulation of an appropriate model and presents a comprehensive summary of the most popular methods for solving multicriteria decision problems. In addition to the classical approach the book introduces fuzzy and stochastic methodology, models with uncertainty, social choice and conflict resolution. All methods are illustrated with easy to follow simple examples. At the end of each chapter detailed case studies are given in water and environment management including inter-basin water transfer, urban water management, water allocation, groundwater quality management, forest treatment, ranking water resources projects, reservoir planning, water distribution network design and long-term watershed management. The new methodology and the wide variety of case studies are not easily accessible elsewhere.


Multi-Asset Investing

Multi-Asset Investing
Author: Pranay Gupta
Publisher: John Wiley & Sons
Total Pages: 296
Release: 2016-03-09
Genre: Business & Economics
ISBN: 1119241596

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Despite the accepted fact that a substantial part of the risk and return of any portfolio comes from asset allocation, we find today that the majority of investment professionals worldwide are focused on security selection. Multi-Asset Investing: A Practitioner’s Framework questions this basic structure of the investment process and investment industry. Who says we have to separate alpha and beta? Are the traditional definitions for risk and risk premium relevant in a multi-asset class world? Do portfolios cater for the ‘real risks’ in their investment processes? Does the whole Emerging Markets demarcation make sense for investing? Why do active Asian managers perform much poorer compared to developed market managers? Can you distinguish how much of a strategy’s performance comes from skill rather than luck? Does having a performance fee for your manager create alignment or misalignment? Why is the asset management transitioning from multi-asset strategies to multi-asset solutions? These and many other questions are asked, and suggestions provided as potential solutions. Having worked together for fifteen years, the authors’ present implementable solutions which have helped them successfully manage large asset pools. The Academic Perspective “Multi-Asset Investing asks fundamental questions about the asset allocation investment processes in use today, and can have a substantial impact on the future structure of the finance industry. It clarifies and distils the techniques that investment professionals need to master to add value to client portfolios.” —Paul Smith, President & CEO, CFA Institute “Pranay Gupta, Sven Skallsjo, and Bing Li describe the essential concepts and applications of multi-asset investing. Their treatment is far ranging and exceptionally lucid, and always with a nod to practical application. Buy this book and keep it close at hand.” —Mark Kritzman, MIT Sloane School of Management “Innovative solutions to some of the most difficult investment problems we are faced with today. Multi-asset Investing tackles investment issues which don’t have straight forward solutions, but nevertheless are faced by every investment professional. This book sets the standard for investment processes of all asset managers.” —SP Kothari, MIT Sloane School of Management The Asset Owner Perspective “Multi-asset means different things to different people. This is the first text that details a comprehensive framework for managing any kind of multi-asset investment problem. Further, its explanation of the commercial aspects of managing a multi-asset investment business for an asset manager, private bank or asset owner make it an indispensable tool” —Sadayuki Horie, Dy. Chairman - Investment Advisory Comm., Government Pension Investment Fund, Japan “Multi-Asset Investing shows the substantial scope there is to innovate the asset allocation process. With its novel approaches to allocation, portfolio construction and risk management it demonstrates the substantial value that can be added to any portfolio. The solutions proposed by Multi-Asset Investing are creative, thought provoking, and may well be the way all portfolios need to be managed in the future.” —Mario Therrien, Senior Vice President, Caisse de Depot et Placement du Quebec, Canada The Asset Manager’s Perspective “Never has astute asset allocation and diversification been more crucial than today. Asset Managers which are able to innovate their investment processes and products in this area, are more likely to be the winners. Multi-Asset Investing provides both simple and sophisticated, tested and implementable techniques for successfully managing multi-asset portfolios.” —Vincent Camerlynck, former CEO BNP Paribas Investment Partners, Asia Pacific The Investment Strategist Perspective “For plan sponsors, portfolio managers, analysts and risk managers, Multi-Asset Investing is an unparalleled guide for portfolio management. Its approach to blending the quantitative and fundamental, top-down and bottom up and the risk and return frameworks makes it a valuable tool for any kind of investment professional. It clarifies a complex subject into a series of practical ideas to help add value to any portfolio.” —Ajay S. Kapur, Chief Strategist, BOA Merrill Lynch Asia


Handbook of Portfolio Construction

Handbook of Portfolio Construction
Author: John B. Guerard, Jr.
Publisher: Springer Science & Business Media
Total Pages: 796
Release: 2009-12-12
Genre: Business & Economics
ISBN: 0387774394

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Portfolio construction is fundamental to the investment management process. In the 1950s, Harry Markowitz demonstrated the benefits of efficient diversification by formulating a mathematical program for generating the "efficient frontier" to summarize optimal trade-offs between expected return and risk. The Markowitz framework continues to be used as a basis for both practical portfolio construction and emerging research in financial economics. Such concepts as the Capital Asset Pricing Model (CAPM) and the Arbitrage Pricing Theory (APT), for example, provide the foundation for setting benchmarks, for predicting returns and risk, and for performance measurement. This volume showcases original essays by some of today’s most prominent academics and practitioners in the field on the contemporary application of Markowitz techniques. Covering a wide spectrum of topics, including portfolio selection, data mining tests, and multi-factor risk models, the book presents a comprehensive approach to portfolio construction tools, models, frameworks, and analyses, with both practical and theoretical implications.