Portfolio Optimization with Risk Constraints

Portfolio Optimization with Risk Constraints PDF Author: Ralf Gandy
Publisher:
ISBN:
Category :
Languages : en
Pages : 158

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Book Description

Portfolio Optimization with Risk Constraints

Portfolio Optimization with Risk Constraints PDF Author: Ralf Gandy
Publisher:
ISBN:
Category :
Languages : en
Pages : 158

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Book Description


Portfolio Optimization Under Risk Constraints

Portfolio Optimization Under Risk Constraints PDF Author: Kevin Riedmüller
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description


Supply Chain and Finance

Supply Chain and Finance PDF Author: Panos M. Pardalos
Publisher: World Scientific
ISBN: 981238717X
Category : Business & Economics
Languages : en
Pages : 359

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Book Description
This book describes recently developed mathematical models, methodologies, and case studies in diverse areas, including stock market analysis, portfolio optimization, classification techniques in economics, supply chain optimization, development of e-commerce applications, etc. It will be of interest to both theoreticians and practitioners working in economics and finance.

Financial Risk Modelling and Portfolio Optimization with R

Financial Risk Modelling and Portfolio Optimization with R PDF Author: Bernhard Pfaff
Publisher: John Wiley & Sons
ISBN: 1119119685
Category : Mathematics
Languages : en
Pages : 448

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Book Description
Financial Risk Modelling and Portfolio Optimization with R, 2nd Edition Bernhard Pfaff, Invesco Global Asset Allocation, Germany A must have text for risk modelling and portfolio optimization using R. This book introduces the latest techniques advocated for measuring financial market risk and portfolio optimization, and provides a plethora of R code examples that enable the reader to replicate the results featured throughout the book. This edition has been extensively revised to include new topics on risk surfaces and probabilistic utility optimization as well as an extended introduction to R language. Financial Risk Modelling and Portfolio Optimization with R: Demonstrates techniques in modelling financial risks and applying portfolio optimization techniques as well as recent advances in the field. Introduces stylized facts, loss function and risk measures, conditional and unconditional modelling of risk; extreme value theory, generalized hyperbolic distribution, volatility modelling and concepts for capturing dependencies. Explores portfolio risk concepts and optimization with risk constraints. Is accompanied by a supporting website featuring examples and case studies in R. Includes updated list of R packages for enabling the reader to replicate the results in the book. Graduate and postgraduate students in finance, economics, risk management as well as practitioners in finance and portfolio optimization will find this book beneficial. It also serves well as an accompanying text in computer-lab classes and is therefore suitable for self-study.

Portfolio Optimization Under Conditional Value at Risk Constraints

Portfolio Optimization Under Conditional Value at Risk Constraints PDF Author: Yannick Paukner
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Portfolio Optimization

Portfolio Optimization PDF Author: Michael J. Best
Publisher: CRC Press
ISBN: 1420085840
Category : Mathematics
Languages : en
Pages : 238

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Book Description
Eschewing a more theoretical approach, Portfolio Optimization shows how the mathematical tools of linear algebra and optimization can quickly and clearly formulate important ideas on the subject. This practical book extends the concepts of the Markowitz "budget constraint only" model to a linearly constrained model. Only requiring elementary linear algebra, the text begins with the necessary and sufficient conditions for optimal quadratic minimization that is subject to linear equality constraints. It then develops the key properties of the efficient frontier, extends the results to problems with a risk-free asset, and presents Sharpe ratios and implied risk-free rates. After focusing on quadratic programming, the author discusses a constrained portfolio optimization problem and uses an algorithm to determine the entire (constrained) efficient frontier, its corner portfolios, the piecewise linear expected returns, and the piecewise quadratic variances. The final chapter illustrates infinitely many implied risk returns for certain market portfolios. Drawing on the author’s experiences in the academic world and as a consultant to many financial institutions, this text provides a hands-on foundation in portfolio optimization. Although the author clearly describes how to implement each technique by hand, he includes several MATLAB® programs designed to implement the methods and offers these programs on the accompanying CD-ROM.

Portfolio Optimization with Risk Constraints in the View of Stochastic Interest Rates

Portfolio Optimization with Risk Constraints in the View of Stochastic Interest Rates PDF Author: William Ntambara
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Distribution Assumption and Risk Constraints in Portfolio Optimization

Distribution Assumption and Risk Constraints in Portfolio Optimization PDF Author: Dietmar G. Maringer
Publisher:
ISBN:
Category :
Languages : en
Pages : 32

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Book Description


Robust Equity Portfolio Management

Robust Equity Portfolio Management PDF Author: Woo Chang Kim
Publisher: John Wiley & Sons
ISBN: 111879737X
Category : Business & Economics
Languages : en
Pages : 256

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Book Description
A comprehensive portfolio optimization guide, with provided MATLAB code Robust Equity Portfolio Management + Website offers the most comprehensive coverage available in this burgeoning field. Beginning with the fundamentals before moving into advanced techniques, this book provides useful coverage for both beginners and advanced readers. MATLAB code is provided to allow readers of all levels to begin implementing robust models immediately, with detailed explanations and applications in the equity market included to help you grasp the real-world use of each technique. The discussion includes the most up-to-date thinking and cutting-edge methods, including a much-needed alternative to the traditional Markowitz mean-variance model. Unparalleled in depth and breadth, this book is an invaluable reference for all risk managers, portfolio managers, and analysts. Portfolio construction models originating from the standard Markowitz mean-variance model have a high input sensitivity that threatens optimization, spawning a flurry of research into new analytic techniques. This book covers the latest developments along with the basics, to give you a truly comprehensive understanding backed by a robust, practical skill set. Get up to speed on the latest developments in portfolio optimization Implement robust models using provided MATLAB code Learn advanced optimization methods with equity portfolio applications Understand the formulations, performances, and properties of robust portfolios The Markowitz mean-variance model remains the standard framework for portfolio optimization, but the interest in—and need for—an alternative is rapidly increasing. Resolving the sensitivity issue and dramatically reducing portfolio risk is a major focus of today's portfolio manager. Robust Equity Portfolio Management + Website provides a viable alternative framework, and the hard skills to implement any optimization method.

Metaheuristics for Portfolio Optimization

Metaheuristics for Portfolio Optimization PDF Author: G. A. Vijayalakshmi Pai
Publisher: John Wiley & Sons
ISBN: 111948278X
Category : Computers
Languages : en
Pages : 322

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Book Description
The book is a monograph in the cross disciplinary area of Computational Intelligence in Finance and elucidates a collection of practical and strategic Portfolio Optimization models in Finance, that employ Metaheuristics for their effective solutions and demonstrates the results using MATLAB implementations, over live portfolios invested across global stock universes. The book has been structured in such a way that, even novices in finance or metaheuristics should be able to comprehend and work on the hybrid models discussed in the book.