advances in portfolio construction and implementation quantitative finance

Download Book Advances In Portfolio Construction And Implementation Quantitative Finance in PDF format. You can Read Online Advances In Portfolio Construction And Implementation Quantitative Finance here in PDF, EPUB, Mobi or Docx formats.

Advances In Portfolio Construction And Implementation

Author : Alan Scowcroft
ISBN : 0080471846
Genre : Business & Economics
File Size : 21. 79 MB
Format : PDF, ePub
Download : 144
Read : 404

Get This Book


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)

Managing Downside Risk In Financial Markets

Author : Frank Alphonse Sortino
ISBN : 0750648635
Genre : Business & Economics
File Size : 78. 93 MB
Format : PDF, Docs
Download : 602
Read : 690

Get This Book


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 Portfolio Management

Author : Edward E. Qian
ISBN : 9781420010794
Genre : Mathematics
File Size : 82. 90 MB
Format : PDF, ePub, Mobi
Download : 283
Read : 802

Get This Book


Quantitative equity portfolio management combines theories and advanced techniques from several disciplines, including financial economics, accounting, mathematics, and operational research. While many texts are devoted to these disciplines, few deal with quantitative equity investing in a systematic and mathematical framework that is suitable for quantitative investment students. Providing a solid foundation in the subject, Quantitative Equity Portfolio Management: Modern Techniques and Applications presents a self-contained overview and a detailed mathematical treatment of various topics. From the theoretical basis of behavior finance to recently developed techniques, the authors review quantitative investment strategies and factors that are commonly used in practice, including value, momentum, and quality, accompanied by their academic origins. They present advanced techniques and applications in return forecasting models, risk management, portfolio construction, and portfolio implementation that include examples such as optimal multi-factor models, contextual and nonlinear models, factor timing techniques, portfolio turnover control, Monte Carlo valuation of firm values, and optimal trading. In many cases, the text frames related problems in mathematical terms and illustrates the mathematical concepts and solutions with numerical and empirical examples. Ideal for students in computational and quantitative finance programs, Quantitative Equity Portfolio Management serves as a guide to combat many common modeling issues and provides a rich understanding of portfolio management using mathematical analysis.

Linear Factor Models In Finance

Author : John Knight
ISBN : 0080455328
Genre : Business & Economics
File Size : 67. 13 MB
Format : PDF, ePub, Mobi
Download : 101
Read : 380

Get This Book


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 : 42. 79 MB
Format : PDF, ePub, Mobi
Download : 801
Read : 1249

Get This Book


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

Collectible Investments For The High Net Worth Investor

Author : Stephen Satchell
ISBN : 9780080923055
Genre : Business & Economics
File Size : 80. 87 MB
Format : PDF
Download : 635
Read : 623

Get This Book


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

Optimizing Optimization

Author : Stephen Satchell
ISBN : 0080959202
Genre : Business & Economics
File Size : 44. 80 MB
Format : PDF, ePub
Download : 933
Read : 622

Get This Book


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

Financial Signal Processing And Machine Learning

Author : Ali N. Akansu
ISBN : 9781118745670
Genre : Technology & Engineering
File Size : 74. 47 MB
Format : PDF, ePub
Download : 526
Read : 1174

Get This Book


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.

Advances In Financial Machine Learning

Author : Marcos Lopez de Prado
ISBN : 9781119482116
Genre : Business & Economics
File Size : 48. 27 MB
Format : PDF, Docs
Download : 809
Read : 1203

Get This Book


Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Readers will learn how to structure Big data in a way that is amenable to ML algorithms; how to conduct research with ML algorithms on that data; how to use supercomputing methods; how to backtest your discoveries while avoiding false positives. The book addresses real-life problems faced by practitioners on a daily basis, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their particular setting. Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.

Financial Modelling

Author : Joerg Kienitz
ISBN : 9781118413296
Genre : Business & Economics
File Size : 83. 72 MB
Format : PDF, ePub, Docs
Download : 560
Read : 854

Get This Book


Financial Modelling - Theory, Implementation and Practice is a unique combination of quantitative techniques, the application to financial problems and programming using Matlab. The book enables the reader to model, design and implement a wide range of financial models for derivatives pricing and asset allocation, providing practitioners with complete financial modelling workflow, from model choice, deriving prices and Greeks using (semi-) analytic and simulation techniques, and calibration even for exotic options. The book is split into three parts. The first part considers financial markets in general and looks at the complex models needed to handle observed structures, reviewing models based on diffusions including stochastic-local volatility models and (pure) jump processes. It shows the possible risk neutral densities, implied volatility surfaces, option pricing and typical paths for a variety of models including SABR, Heston, Bates, Bates-Hull-White, Displaced-Heston, or stochastic volatility versions of Variance Gamma, respectively Normal Inverse Gaussian models and finally, multi-dimensional models. The stochastic-local-volatility Libor market model with time-dependent parameters is considered and as an application how to price and risk-manage CMS spread products is demonstrated. The second part of the book deals with numerical methods which enables the reader to use the models of the first part for pricing and risk management, covering methods based on direct integration and Fourier transforms, and detailing the implementation of the COS, CONV, Carr-Madan method or Fourier-Space-Time Stepping. This is applied to pricing of European, Bermudan and exotic options as well as the calculation of the Greeks. The Monte Carlo simulation technique is outlined and bridge sampling is discussed in a Gaussian setting and for Lévy processes. Computation of Greeks is covered using likelihood ratio methods and adjoint techniques. A chapter on state-of-the-art optimization algorithms rounds up the toolkit for applying advanced mathematical models to financial problems and the last chapter in this section of the book also serves as an introduction to model risk. The third part is devoted to the usage of Matlab, introducing the software package by describing the basic functions applied for financial engineering. The programming is approached from an object-oriented perspective with examples to propose a framework for calibration, hedging and the adjoint method for calculating Greeks in a Libor Market model. Source code used for producing the results and analysing the models is provided on the author’s dedicated website, http://www.mathworks.de/matlabcentral/fileexchange/authors/246981

Top Download:

Best Books