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 : 69. 65 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)

Linear Factor Models In Finance

Author : John Knight
ISBN : 0080455328
Genre : Business & Economics
File Size : 58. 27 MB
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The determination of the values of stocks, bonds, options, futures, and derivatives is done by the scientific process of asset pricing, which has developed dramatically in the last few years due to advances in financial theory and econometrics. This book covers the science of asset pricing by concentrating on the most widely used modelling technique called: Linear Factor Modelling. Linear Factor Models covers an important area for Quantitative Analysts/Investment Managers who are developing Quantitative Investment Strategies. Linear factor models (LFM) are part of modern investment processes that include asset valuation, portfolio theory and applications, linear factor models and applications, dynamic asset allocation strategies, portfolio performance measurement, risk management, international perspectives, and the use of derivatives. The book develops the building blocks for one of the most important theories of asset pricing - Linear Factor Modelling. Within this framework, we can include other asset pricing theories such as the Capital Asset Pricing Model (CAPM), arbitrage pricing theory and various pricing formulae for derivatives and option prices. As a bare minimum, the reader of this book must have a working knowledge of basic calculus, simple optimisation and elementary statistics. In particular, the reader must be comfortable with the algebraic manipulation of means, variances (and covariances) of linear combination(s) of random variables. Some topics may require a greater mathematical sophistication. * Covers the latest methods in this area. * Combines actual quantitative finance experience with analytical research rigour * Written by both quantitative analysts and academics who work in this area

Corporate Governance And Regulatory Impact On Mergers And Acquisitions

Author : Greg N. Gregoriou
ISBN : 9780080549323
Genre : Business & Economics
File Size : 30. 50 MB
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Corporate Governance and regulatory presssures have been much in the news lately. How they affect the bottom line of corporations has been difficult to quantify, and research is just beginning to be published that addresses this crucial question. This book is the first collection for new research about the impact of takeover regulation and corporate governance on M&A financial results. It will be essential reading to any M&A specialist, an investment banker, a hedge fund manager, a private equity director, or a venture capitalist. Also a must read for financial analysts who follow M&A targets. The book presents research from around the world so it provides a global perspective on this important topic. *The first and only book of research on takeover regulation and corporate governance affecting M&A results *Stands out from all the "How to" books on M&A and M&A disaster books because it provides solid high-quality research on what works and how different decisions affect company and shareholder value *Research provides a guideline for decisionmakers in investment banks, private equity companies, and for financial analysts

The Analytics Of Risk Model Validation

Author : George A. Christodoulakis
ISBN : 0080553885
Genre : Business & Economics
File Size : 48. 97 MB
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Risk model validation is an emerging and important area of research, and has arisen because of Basel I and II. These regulatory initiatives require trading institutions and lending institutions to compute their reserve capital in a highly analytic way, based on the use of internal risk models. It is part of the regulatory structure that these risk models be validated both internally and externally, and there is a great shortage of information as to best practise. Editors Christodoulakis and Satchell collect papers that are beginning to appear by regulators, consultants, and academics, to provide the first collection that focuses on the quantitative side of model validation. The book covers the three main areas of risk: Credit Risk and Market and Operational Risk. *Risk model validation is a requirement of Basel I and II *The first collection of papers in this new and developing area of research *International authors cover model validation in credit, market, and operational risk

Initial Public Offerings Ipo

Author : Greg N. Gregoriou
ISBN : 9780080461670
Genre : Business & Economics
File Size : 39. 61 MB
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After the cooling off of IPOs since the dot com bubble, Google has rekindled the fire for IPOs. This IPO reader contains new articles exclusive to this reader by leading academics from around the world dealing with quantitative and qualitative analyses of this increasingly popular and important area of finance. Articles address new methods of IPO performance, international IPOs, IPO evaluation, IPO underwriting, evaluation and bookbuilding. Although numerous articles are technical in nature, with econometric and statistical models, particular attention has been directed towards the understanding and the applicability of the results as well as theoretical development in this area. This reader will assist researchers, academics, and graduate students to further understand the latest research on IPOs. *Interest in IPOs is increasing again after the Google IPO, and IPOs are up significantly from last year *Chapters by well known academics provide an international perspective, describing research results from IPO data in countries spanning the globe *Research is based on real results from IPO data collected over the past 5-7 years

Quantitative Equity Portfolio Management

Author : Edward E. Qian
ISBN : 1584885580
Genre : Business & Economics
File Size : 59. 5 MB
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'Quantitative Equity Portfolio Management' provides an analysis of quantitative investment strategies and their theoretical explanations behind market inefficiencies. It solves problems related to quantitative model building that illustrate mathematical concepts and solutions with numerical and empirical examples.

Financial Signal Processing And Machine Learning

Author : Ali N. Akansu
ISBN : 9781118745632
Genre : Technology & Engineering
File Size : 84. 60 MB
Format : PDF
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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.

Managing Downside Risk In Financial Markets

Author : Frank A. Sortino
ISBN : 0750648635
Genre : Business & Economics
File Size : 39. 50 MB
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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.

Quantitative Equity Investing

Author : Frank J. Fabozzi
ISBN : 0470617527
Genre : Business & Economics
File Size : 53. 78 MB
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A comprehensive look at the tools and techniques used in quantitative equity management Some books attempt to extend portfolio theory, but the real issue today relates to the practical implementation of the theory introduced by Harry Markowitz and others who followed. The purpose of this book is to close the implementation gap by presenting state-of-the art quantitative techniques and strategies for managing equity portfolios. Throughout these pages, Frank Fabozzi, Sergio Focardi, and Petter Kolm address the essential elements of this discipline, including financial model building, financial engineering, static and dynamic factor models, asset allocation, portfolio models, transaction costs, trading strategies, and much more. They also provide ample illustrations and thorough discussions of implementation issues facing those in the investment management business and include the necessary background material in probability, statistics, and econometrics to make the book self-contained. Written by a solid author team who has extensive financial experience in this area Presents state-of-the art quantitative strategies for managing equity portfolios Focuses on the implementation of quantitative equity asset management Outlines effective analysis, optimization methods, and risk models In today's financial environment, you have to have the skills to analyze, optimize and manage the risk of your quantitative equity investments. This guide offers you the best information available to achieve this goal.

Advances In The Practice Of Public Investment Management

Author : Narayan Bulusu
ISBN : 9783319902456
Genre : Business & Economics
File Size : 76. 52 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.

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