advances in portfolio construction and implementation quantitative finance

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Advances In Portfolio Construction And Implementation

Author : Alan Scowcroft
ISBN : 0080471846
Genre : Business & Economics
File Size : 73. 1 MB
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Modern Portfolio Theory explores how risk averse investors construct portfolios in order to optimize market risk against expected returns. The theory quantifies the benefits of diversification. Modern Portfolio Theory provides a broad context for understanding the interactions of systematic risk and reward. It has profoundly shaped how institutional portfolios are managed, and has motivated the use of passive investment management techniques, and the mathematics of MPT is used extensively in financial risk management. Advances in Portfolio Construction and Implementation offers practical guidance in addition to the theory, and is therefore ideal for Risk Mangers, Actuaries, Investment Managers, and Consultants worldwide. Issues are covered from a global perspective and all the recent developments of financial risk management are presented. Although not designed as an academic text, it should be useful to graduate students in finance. *Provides practical guidance on financial risk management *Covers the latest developments in investment portfolio construction *Full coverage of the latest cutting edge research on measuring portfolio risk, alternatives to mean variance analysis, expected returns forecasting, the construction of global portfolios and hedge portfolios (funds)

Computational Finance Using C And C

Author : George Levy
ISBN : 9780128035764
Genre : Business & Economics
File Size : 76. 41 MB
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Computational Finance Using C and C#: Derivatives and Valuation, Second Edition provides derivatives pricing information for equity derivatives, interest rate derivatives, foreign exchange derivatives, and credit derivatives. By providing free access to code from a variety of computer languages, such as Visual Basic/Excel, C++, C, and C#, it gives readers stand-alone examples that they can explore before delving into creating their own applications. It is written for readers with backgrounds in basic calculus, linear algebra, and probability. Strong on mathematical theory, this second edition helps empower readers to solve their own problems. *Features new programming problems, examples, and exercises for each chapter. *Includes freely-accessible source code in languages such as C, C++, VBA, C#, and Excel.. *Includes a new chapter on the history of finance which also covers the 2008 credit crisis and the use of mortgage backed securities, CDSs and CDOs. *Emphasizes mathematical theory. Features new programming problems, examples, and exercises with solutions added to each chapter Includes freely-accessible source code in languages such as C, C++, VBA, C#, Excel, Includes a new chapter on the credit crisis of 2008 Emphasizes mathematical theory

Optimizing Optimization

Author : Stephen Satchell
ISBN : 0080959202
Genre : Business & Economics
File Size : 79. 67 MB
Format : PDF, ePub
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The practical aspects of optimization rarely receive global, balanced examinations. Stephen Satchell’s nuanced assembly of technical presentations about optimization packages (by their developers) and about current optimization practice and theory (by academic researchers) makes available highly practical solutions to our post-liquidity bubble environment. The commercial chapters emphasize algorithmic elements without becoming sales pitches, and the academic chapters create context and explore development opportunities. Together they offer an incisive perspective that stretches toward new products, new techniques, and new answers in quantitative finance. Presents a unique "confrontation" between software engineers and academics Highlights a global view of common optimization issues Emphasizes the research and market challenges of optimization software while avoiding sales pitches Accentuates real applications, not laboratory results

Collectible Investments For The High Net Worth Investor

Author : Stephen Satchell
ISBN : 9780080923055
Genre : Business & Economics
File Size : 48. 89 MB
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Many high net worth individuals are interested in diversifying their portfolios and investing in collectibles. A collectible is any physical asset that appreciates in value over time because it is rare or desired by many. Stamps, coins, fine art, antiques, books, and wine are examples of collectibles. Where does the financial advisor or investment manager for these high net worth individuals go to learn about these investments? There is no comprehensive resource from the financial standpoint--until now. Dr Stephen Satchell of Trinity College, Cambridge, has developed a book in which experts in various types of collectibles analyze the financial aspects of investing in these collectibles. Chapters address issues such as: liquidity challenges, tax ramifications, appreciation timelines, the challenge of forecasting and measuring appreciation, and the psychological component of collecting and the role of emotion in collectible investing. Key Features Feature: Contributors are experts in collectible investing from around the world Benefit: Gives financial advisors and wealth managers handy access to expert opinions to better advise clients interested in collectible investments Feature: Experts discuss the pros and cons of collectibles from an investment perspective in their area of expertise Benefit: One stop shopping, all expertise brought together in one volume, creating a handy reference guide Feature: Experts discuss art, stamps, coins, antiques, wine, from around the world in one global perspective Benefit: Wealth managers can gain information about a wide range of collectibles and learn about investing in these types with a global perspective

Managing Downside Risk In Financial Markets

Author : Frank Alphonse Sortino
ISBN : 0750648635
Genre : Business & Economics
File Size : 85. 47 MB
Format : PDF
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Quantitative methods have revolutionized the area of trading, regulation, risk management, portfolio construction, asset pricing and treasury activities, and governmental activity such as central banking to name but some of the applications. Downside-risk, as a quantitative method, is an accurate measurement of investment risk, because it captures the risk of not accomplishing the investor's goal. 'Downside Risk in Financial Markets' demonstrates how downside-risk can produce better results in performance measurement and asset allocation than variance modelling. Theory, as well as the practical issues involved in its implementation, is covered and the arguments put forward emphatically show the superiority of downside risk models to variance models in terms of risk measurement and decision making. Variance considers all uncertainty to be risky. Downside-risk only considers returns below that needed to accomplish the investor's goal, to be risky. Risk is one of the biggest issues facing the financial markets today. 'Downside Risk in Financial Markets' outlines the major issues for Investment Managers and focuses on "downside-risk" as a key activity in managing risk in investment/portfolio management. Managing risk is now THE paramount topic within the financial sector and recurring losses through the 1990s has shocked financial institutions into placing much greater emphasis on risk management and control. Free Software Enclosed To help you implement the knowledge you will gain from reading this book, a CD is enclosed that contains free software programs that were previously only available to institutional investors under special licensing agreement to The pension Research Institute. This is our contribution to the advancement of professionalism in portfolio management. The Forsey-Sortino model is an executable program that: 1. Runs on any PC without the need of any additional software. 2. Uses the bootstrap procedure developed by Dr. Bradley Effron at Stanford University to uncover what could have happened, instead of relying only on what did happen in the past. This is the best procedure we know of for describing the nature of uncertainty in financial markets. 3. Fits a three parameter lognormal distribution to the bootstrapped data to allow downside risk to be calculated from a continuous distribution. This improves the efficacy of the downside risk estimates. 4. Calculates upside potential and downside risk from monthly returns on any portfolio manager. 5. Calculates upside potential and downside risk from any user defined distribution. Forsey-Sortino Source Code: 1. The source code, written in Visual Basic 5.0, is provided for institutional investors who want to add these calculations to their existing financial services. 2. No royalties are required for this source code, providing institutions inform clients of the source of these calculations. A growing number of services are now calculating downside risk in a manner that we are not comfortable with. Therefore, we want investors to know when downside risk and upside potential are calculated in accordance with the methodology described in this book. Riddles Spreadsheet: 1. Neil Riddles, former Senior Vice President and Director of Performance Analysis at Templeton Global Advisors, now COO at Hansberger Global Advisors Inc., offers a free spreadsheet in excel format. 2. The spreadsheet calculates downside risk and upside potential relative to the returns on an index Brings together a range of relevant material, not currently available in a single volume source Provides practical information on how financial organisations can use downside risk techniques and technological developments to effectively manage risk in their portfolio management Provides a rigorous theoretical underpinning for the use of downside risk techniques. This is important for the long-run acceptance of the methodology, since such arguments justify consultant's recommendations to pension funds and other plan sponsors

Financial Signal Processing And Machine Learning

Author : Ali N. Akansu
ISBN : 9781118745670
Genre : Technology & Engineering
File Size : 77. 3 MB
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The modern financial industry has been required to deal with large and diverse portfolios in a variety of asset classes often with limited market data available. Financial Signal Processing and Machine Learning unifies a number of recent advances made in signal processing and machine learning for the design and management of investment portfolios and financial engineering. This book bridges the gap between these disciplines, offering the latest information on key topics including characterizing statistical dependence and correlation in high dimensions, constructing effective and robust risk measures, and their use in portfolio optimization and rebalancing. The book focuses on signal processing approaches to model return, momentum, and mean reversion, addressing theoretical and implementation aspects. It highlights the connections between portfolio theory, sparse learning and compressed sensing, sparse eigen-portfolios, robust optimization, non-Gaussian data-driven risk measures, graphical models, causal analysis through temporal-causal modeling, and large-scale copula-based approaches. Key features: Highlights signal processing and machine learning as key approaches to quantitative finance. Offers advanced mathematical tools for high-dimensional portfolio construction, monitoring, and post-trade analysis problems. Presents portfolio theory, sparse learning and compressed sensing, sparsity methods for investment portfolios. including eigen-portfolios, model return, momentum, mean reversion and non-Gaussian data-driven risk measures with real-world applications of these techniques. Includes contributions from leading researchers and practitioners in both the signal and information processing communities, and the quantitative finance community.

Robust Portfolio Optimization And Management

Author : Frank J. Fabozzi
ISBN : 9780470164891
Genre : Business & Economics
File Size : 78. 69 MB
Format : PDF
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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

Modern Portfolio Management

Author : Martin L. Leibowitz
ISBN : 0470484942
Genre : Business & Economics
File Size : 53. 48 MB
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Active 130/30 Extensions is the newest wave of disciplined investment strategies that involves asymmetric decision-making on long/short portfolio decisions, concentrated investment risk-taking in contrast to diversification, systematic portfolio risk management, and flexibility in portfolio design. This strategy is the building block for a number of 130/30 and 120/20 investment strategies offered to institutional and sophisticated high net worth individual investors who want to manage their portfolios actively and aggressively to outperform the market.

Advances In The Practice Of Public Investment Management

Author : Narayan Bulusu
ISBN : 9783319902456
Genre : Business & Economics
File Size : 29. 59 MB
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This book covers the latest advances in the theory and practice of public investment management. It includes the most up-to-date developments in the implementation of public asset management – including multiple contributions on portfolio allocation in varying interest-rate and credit-risk environments. Other highlights include implementation, performance attribution and governance issues surrounding reserves management, portfolio construction techniques appropriate for public investors and an in-depth discussion of the challenges to achieving international diversification.

Optionsbewertung Und Portfolio Optimierung

Author : Ralf Korn
ISBN : 9783322832108
Genre : Business & Economics
File Size : 83. 59 MB
Format : PDF
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Es werden die typischen Aufgabenstellungen der zeitstetigen Modellierung von Finanzmärkten wie Optionsbewertung (insbesondere auch die Black-Scholes-Formel und zugehörige Varianten) und Portfolio-Optimierung (Bestimmen optimaler Investmentstrategien) behandelt. Die benötigten mathematischen Werkzeuge (wie z. B. Brownsche Bewegung, Martingaltheorie, Ito-Kalkül, stochastische Steuerung) werden in selbständigen Exkursen bereitgestellt. Das Buch eignet sich als Grundlage einer Vorlesung, die sich an einen Grundkurs in Stochastik anschließt. Es richtet sich an Mathematiker, Finanz- und Wirtschaftsmathematiker in Studium und Beruf und ist aufgrund seiner modularen Struktur auch für Praktiker in den Bereichen Banken und Versicherungen geeignet.

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