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Optimal Portfolio Choice With Benchmarks
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Book Synopsis Optimal Portfolio Choice with Benchmarks by : Carole Bernard
Download or read book Optimal Portfolio Choice with Benchmarks written by Carole Bernard and published by . This book was released on 2017 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: We construct an algorithm that makes it possible to numerically obtain an investor's optimal portfolio under general preferences. In particular, the objective function and risks constraints may be driven by benchmarks (reflecting state-dependent preferences). We apply the algorithm to various classic optimal portfolio problems for which explicit solutions are available and show that our numerical solutions are compatible with them. This observation allows us to conclude that the algorithm can be trusted as a viable way to deal with portfolio optimization problems for which explicit solutions are not in reach.
Book Synopsis Optimal Portfolio Choice with Benchmark by : Raymond Kan
Download or read book Optimal Portfolio Choice with Benchmark written by Raymond Kan and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Portfolio Optimization and Performance Analysis by : Jean-Luc Prigent
Download or read book Portfolio Optimization and Performance Analysis written by Jean-Luc Prigent and published by CRC Press. This book was released on 2007-05-07 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Investment Portfolio Selection and Performance Measurement by : Patrick Daum
Download or read book Investment Portfolio Selection and Performance Measurement written by Patrick Daum and published by GRIN Verlag. This book was released on 2012-05-14 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt: Seminar paper from the year 2011 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: 1,3, South Bank University London (Business Faculty), course: Fondmanagement , language: English, abstract: Die Arbeit legt die Portfoliotheorie an Hand eine praktischen Beispiels dar. Auf der Basis von 10 Stocks aus dem FTSE 100 wird das optimale Portfolio errechnet und dessen Performance eingeordnet. ++++ According Warren Buffett, financial investors should never purchase a security, if they cannot accept that the value might be cut in half (Schömann-Finck, 2010). One of the most successful global investors has illustrated with this quote the risks involved in the business of financial investments. In order to optimize risk-return tradeoffs, scientific research has developed efficient diversification techniques. This paper examines the process of portfolio diversification based on a sample of 10 randomly selected securities. First the optimal portfolio is identified in order to evaluate its performance against the market trend via industry accepted benchmarking comparison tools in a second step. Finally, potential portfolio gains, achieved via diversification across additional asset classes, are discussed and evaluated. According to Bodie et al. (2008) the investment decision process can be separated into three major steps (see figure 1): Capital Allocation, Asset Allocation and Security Selection. For the purpose of this paper 100% of the available funds are assumed to be allocated into stocks. The portfolio created (see figure 2) consists of 10 randomly selected securities taken from the FTSE 100 index.
Book Synopsis Asset Pricing Implications of Delegated Portfolio Management and Benchmarking by : Philippe Rohner
Download or read book Asset Pricing Implications of Delegated Portfolio Management and Benchmarking written by Philippe Rohner and published by Cuvillier Verlag. This book was released on 2010-06-11 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Portfolio Choice Problems by : Nicolas Chapados
Download or read book Portfolio Choice Problems written by Nicolas Chapados and published by Springer Science & Business Media. This book was released on 2011-07-12 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt: This brief offers a broad, yet concise, coverage of portfolio choice, containing both application-oriented and academic results, along with abundant pointers to the literature for further study. It cuts through many strands of the subject, presenting not only the classical results from financial economics but also approaches originating from information theory, machine learning and operations research. This compact treatment of the topic will be valuable to students entering the field, as well as practitioners looking for a broad coverage of the topic.
Book Synopsis Personal Benchmark by : Charles Widger
Download or read book Personal Benchmark written by Charles Widger and published by John Wiley & Sons. This book was released on 2014-10-10 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Personal Benchmark: Integrating Behavioral Finance and Investment Management, Chuck Widger and Dr. Daniel Crosby outline the ways in which a program of embedded behavioral finance, fueled by what matters most to you, can be your protection against irrational financial behavior. Along the way, you'll learn how to improve your investment experience, increase returns formerly sacrificed to misbehavior, and worry less about "The Economy" as you become increasingly focused on "My Economy." Welcome to a new way of investing, a new paradigm for conceptualizing wealth, and a system of turning emotion from your portfolio's worst enemy into its best friend! In this new model, risk is simply the likelihood that we will underperform our dreams. Irrationality is acting in ways that thwart our ability to reach those dreams. And the optimal portfolio is not the one that generates the highest return in abstraction, it is the one that helps us meet our goals without killing our nerves before we get there. This book gives advisors the tools needed to effectively communicate the design and execution of the Personal Benchmark solution.
Book Synopsis Online Portfolio Selection by : Bin Li
Download or read book Online Portfolio Selection written by Bin Li and published by CRC Press. This book was released on 2018-10-30 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the aim to sequentially determine optimal allocations across a set of assets, Online Portfolio Selection (OLPS) has significantly reshaped the financial investment landscape. Online Portfolio Selection: Principles and Algorithms supplies a comprehensive survey of existing OLPS principles and presents a collection of innovative strategies that leverage machine learning techniques for financial investment. The book presents four new algorithms based on machine learning techniques that were designed by the authors, as well as a new back-test system they developed for evaluating trading strategy effectiveness. The book uses simulations with real market data to illustrate the trading strategies in action and to provide readers with the confidence to deploy the strategies themselves. The book is presented in five sections that: Introduce OLPS and formulate OLPS as a sequential decision task Present key OLPS principles, including benchmarks, follow the winner, follow the loser, pattern matching, and meta-learning Detail four innovative OLPS algorithms based on cutting-edge machine learning techniques Provide a toolbox for evaluating the OLPS algorithms and present empirical studies comparing the proposed algorithms with the state of the art Investigate possible future directions Complete with a back-test system that uses historical data to evaluate the performance of trading strategies, as well as MATLAB® code for the back-test systems, this book is an ideal resource for graduate students in finance, computer science, and statistics. It is also suitable for researchers and engineers interested in computational investment. Readers are encouraged to visit the authors’ website for updates: http://olps.stevenhoi.org.
Book Synopsis REPUTATION AND PERFORMANCE FEE EFFECTS ON PORTFOLIO CHOICE BY INVESTMENT ADVISER by : STEVEN HUDDART
Download or read book REPUTATION AND PERFORMANCE FEE EFFECTS ON PORTFOLIO CHOICE BY INVESTMENT ADVISER written by STEVEN HUDDART and published by . This book was released on 1994 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Robust Equity Portfolio Management by : Woo Chang Kim
Download or read book Robust Equity Portfolio Management written by Woo Chang Kim and published by John Wiley & Sons. This book was released on 2015-11-25 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Robust Portfolio Optimization and Management by : Frank J. Fabozzi
Download or read book Robust Portfolio Optimization and Management written by Frank J. Fabozzi and published by John Wiley & Sons. This book was released on 2007-04-27 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for Robust Portfolio Optimization and Management "In the half century since Harry Markowitz introduced his elegant theory for selecting portfolios, investors and scholars have extended and refined its application to a wide range of real-world problems, culminating in the contents of this masterful book. Fabozzi, Kolm, Pachamanova, and Focardi deserve high praise for producing a technically rigorous yet remarkably accessible guide to the latest advances in portfolio construction." --Mark Kritzman, President and CEO, Windham Capital Management, LLC "The topic of robust optimization (RO) has become 'hot' over the past several years, especially in real-world financial applications. This interest has been sparked, in part, by practitioners who implemented classical portfolio models for asset allocation without considering estimation and model robustness a part of their overall allocation methodology, and experienced poor performance. Anyone interested in these developments ought to own a copy of this book. The authors cover the recent developments of the RO area in an intuitive, easy-to-read manner, provide numerous examples, and discuss practical considerations. I highly recommend this book to finance professionals and students alike." --John M. Mulvey, Professor of Operations Research and Financial Engineering, Princeton University
Book Synopsis Three Studies on Portfolio Optimization and Performance Appraisal by : Huazhu Zhang
Download or read book Three Studies on Portfolio Optimization and Performance Appraisal written by Huazhu Zhang and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis studies three important issues in portfolio management: the impact of estimation risk on portfolio optimization, the role of fundamental analysis in portfolio selection and the power of the bootstrap approach for separating skill from luck across a sample of portfolio managers. The first study examines the practical value of the mean-variance portfolio optimization. This issue arises from the concern that the performance of the meanvariance portfolio suffers seriously from estimation errors in input parameters. Based on simulated asset returns, we compare the performance of selected popular portfolios against the naïve equally weighted portfolio (1/N) in terms of the Sharpe Ratio. We conclude that given relatively small and persistent anomalies, some sophisticated portfolio rules can outperform the naïve one at estimation windows of reasonable lengths. We find that (1) an estimation window of 120 months is needed for the optimization-based portfolio rules to outperform the 1/N rule when annual abnormal returns lie between a certain range; (2) given the same abnormal returns, even longer estimation windows are needed when asset returns exhibit fat tails; (3) our preferred portfolio rule, which combines optimally the sample tangency portfolio with MacKinlay and Pástor's (2000) portfolio, performs well relative to other rules. Our second study examines the role of fundamental analysis in portfolio selection. Fundamental analysis assumes implicitly that asset prices mean-revert to their fundamental values. We solve the instantaneous mean-variance portfolio choice problem when asset prices mean-revert to their fundamentals and analyze how this meanreversion feature affects the performance of the optimal portfolio. Our analytical results show that the expected appraisal ratio of the optimal portfolio is increasing in the meanreversion speed for a given stationary distribution of the mispricing and it is increasing in the standard deviation of the stationary distribution for a given level of the meanreversion speed. The contribution from dividends is positive, increasing in the dividend yield and is tantamount to increasing the mean-reversion speed. Our numerical examples indicate that fundamental analysis can be more helpful than practitioners' performance shows. One implication of this is that it must be very challenging to obtain reasonable forecasts of the mispricing. Our third study provides a simulation analysis of the power of the bootstrap approach for identifying skill among a large population of mutual funds. Unlike the standard t-test, this approach does not require ex ante parametric assumption on fund alphas and allows us to infer on the existence of genuine skill across a large sample of fund managers. Its recent applications in mutual fund performance analysis have produced strikingly different findings from those documented in the classical literature. However, as far as we know, its power has not been subject to any rigorous statistical analysis. We provide a Monte Carlo simulation analysis of the validity and power of this method by applying it to evaluating the performance of hypothetical funds under varieties of parameter assumptions. We find that this method can be misleading, which is true regardless of using alpha estimates or their t-statistics. This makes the recent findings dubious. The major problem with this method lies in the inappropriate use or misinterpretation of what Fama and French (2010) call "likelihoods" in testing for difference between realized and bootstrapped alphas at selected percentiles. We also show that the variance decomposition and the Kolmogrov-Smirnov test can lead to correct inferences on fund managers' skill when likelihoods fail to do so.
Book Synopsis Advanced Stochastic Models, Risk Assessment, and Portfolio Optimization by : Svetlozar T. Rachev
Download or read book Advanced Stochastic Models, Risk Assessment, and Portfolio Optimization written by Svetlozar T. Rachev and published by Wiley. This book was released on 2008-02-25 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This groundbreaking book extends traditional approaches of risk measurement and portfolio optimization by combining distributional models with risk or performance measures into one framework. Throughout these pages, the expert authors explain the fundamentals of probability metrics, outline new approaches to portfolio optimization, and discuss a variety of essential risk measures. Using numerous examples, they illustrate a range of applications to optimal portfolio choice and risk theory, as well as applications to the area of computational finance that may be useful to financial engineers.
Book Synopsis A Benchmark Approach to Quantitative Finance by : Eckhard Platen
Download or read book A Benchmark Approach to Quantitative Finance written by Eckhard Platen and published by Springer Science & Business Media. This book was released on 2006-10-28 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: A framework for financial market modeling, the benchmark approach extends beyond standard risk neutral pricing theory. It permits a unified treatment of portfolio optimization, derivative pricing, integrated risk management and insurance risk modeling. This book presents the necessary mathematical tools, followed by a thorough introduction to financial modeling under the benchmark approach, explaining various quantitative methods for the fair pricing and hedging of derivatives.
Book Synopsis Portfolio Management by : Scott D. Stewart
Download or read book Portfolio Management written by Scott D. Stewart and published by John Wiley & Sons. This book was released on 2019-03-19 with total page 723 pages. Available in PDF, EPUB and Kindle. Book excerpt: A career’s worth of portfolio management knowledge in one thorough, efficient guide Portfolio Management is an authoritative guide for those who wish to manage money professionally. This invaluable resource presents effective portfolio management practices supported by their underlying theory, providing the tools and instruction required to meet investor objectives and deliver superior performance. Highlighting a practitioner’s view of portfolio management, this guide offers real-world perspective on investment processes, portfolio decision making, and the business of managing money for real clients. Real world examples and detailed test cases—supported by sophisticated Excel templates and true client situations—illustrate real investment scenarios and provide insight into the factors separating success from failure. The book is an ideal textbook for courses in advanced investments, portfolio management or applied capital markets finance. It is also a useful tool for practitioners who seek hands-on learning of advanced portfolio techniques. Managing other people’s money is a challenging and ever-evolving business. Investment professionals must keep pace with the current market environment to effectively manage their client’s assets while students require a foundation built on the most relevant, up-to-date information and techniques. This invaluable resource allows readers to: Learn and apply advanced multi-period portfolio methods to all major asset classes. Design, test, and implement investment processes. Win and keep client mandates. Grasp the theoretical foundations of major investment tools Teaching and learning aids include: Easy-to-use Excel templates with immediately accessible tools. Accessible PowerPoint slides, sample exam and quiz questions and sample syllabi Video lectures Proliferation of mathematics in economics, growing sophistication of investors, and rising competition in the industry requires advanced training of investment professionals. Portfolio Management provides expert guidance to this increasingly complex field, covering the important advancements in theory and intricacies of practice.
Book Synopsis Investments and Portfolio Performance by : Edwin J. Elton
Download or read book Investments and Portfolio Performance written by Edwin J. Elton and published by World Scientific. This book was released on 2011 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the recent contributions of Edwin J Elton and Martin J Gruber to the field of investments. All of the articles in this book have been published in the leading finance and economic journals. Sixteen of the nineteen articles have been published in the last ten years. This book supplements the earlier contributions of the editors published by MIT Press in 1999.
Book Synopsis A Practitioner's Guide to Asset Allocation by : William Kinlaw
Download or read book A Practitioner's Guide to Asset Allocation written by William Kinlaw and published by John Wiley & Sons. This book was released on 2017-05-02 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the formalization of asset allocation in 1952 with the publication of Portfolio Selection by Harry Markowitz, there have been great strides made to enhance the application of this groundbreaking theory. However, progress has been uneven. It has been punctuated with instances of misleading research, which has contributed to the stubborn persistence of certain fallacies about asset allocation. A Practitioner's Guide to Asset Allocation fills a void in the literature by offering a hands-on resource that describes the many important innovations that address key challenges to asset allocation and dispels common fallacies about asset allocation. The authors cover the fundamentals of asset allocation, including a discussion of the attributes that qualify a group of securities as an asset class and a detailed description of the conventional application of mean-variance analysis to asset allocation.. The authors review a number of common fallacies about asset allocation and dispel these misconceptions with logic or hard evidence. The fallacies debunked include such notions as: asset allocation determines more than 90% of investment performance; time diversifies risk; optimization is hypersensitive to estimation error; factors provide greater diversification than assets and are more effective at reducing noise; and that equally weighted portfolios perform more reliably out of sample than optimized portfolios. A Practitioner's Guide to Asset Allocation also explores the innovations that address key challenges to asset allocation and presents an alternative optimization procedure to address the idea that some investors have complex preferences and returns may not be elliptically distributed. Among the challenges highlighted, the authors explain how to overcome inefficiencies that result from constraints by expanding the optimization objective function to incorporate absolute and relative goals simultaneously. The text also explores the challenge of currency risk, describes how to use shadow assets and liabilities to unify liquidity with expected return and risk, and shows how to evaluate alternative asset mixes by assessing exposure to loss throughout the investment horizon based on regime-dependent risk. This practical text contains an illustrative example of asset allocation which is used to demonstrate the impact of the innovations described throughout the book. In addition, the book includes supplemental material that summarizes the key takeaways and includes information on relevant statistical and theoretical concepts, as well as a comprehensive glossary of terms.
