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Managing Downside Risk In Financial Markets
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Book Synopsis Managing Downside Risk in Financial Markets by : Frank A. Sortino
Download or read book Managing Downside Risk in Financial Markets written by Frank A. Sortino and published by Butterworth-Heinemann. This book was released on 2001-10-02 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Upside, Downside written by Ron Dembo and published by Doubleday Canada. This book was released on 2006 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: From Ron Dembo, advisor to leading banks and hedge funds, and Daniel Stoffman, co-author of the revolutionary bestseller Boom, Bust and Echo, Upside, Downside is an accessible guide to the biggest danger facing investors in an increasingly uncertain world: financial risk. As a generation of investors knows, financial markets are vulnerable to events – from terrorist attacks to epidemics – that are guaranteed to occur, yet impossible to predict. As markets become more complex and intertwined, investors feel increasingly unsure: how can you safeguard your financial prospects when you can’t know what the future will look like? Upside, Downside is a toolbox to protect yourself from financial risk. Co-authored by a leading financial journalist and a pioneer in the field of risk management who advises the world’s major banks, it gives investors access for the first time to the most advanced risk management strategies available, distilled into three simple rules for managing risk. These rules – Knowing What You Own, Using Multiple Scenarios, and Anticipating Regret – will allow you to take control of your financial future. You can’t banish all the dangers of the world, but Upside, Downside will give you the skills to manage them.
Book Synopsis Machine Learning Applications for Accounting Disclosure and Fraud Detection by : Papadakis, Stylianos
Download or read book Machine Learning Applications for Accounting Disclosure and Fraud Detection written by Papadakis, Stylianos and published by IGI Global. This book was released on 2020-10-02 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: The prediction of the valuation of the “quality” of firm accounting disclosure is an emerging economic problem that has not been adequately analyzed in the relevant economic literature. While there are a plethora of machine learning methods and algorithms that have been implemented in recent years in the field of economics that aim at creating predictive models for detecting business failure, only a small amount of literature is provided towards the prediction of the “actual” financial performance of the business activity. Machine Learning Applications for Accounting Disclosure and Fraud Detection is a crucial reference work that uses machine learning techniques in accounting disclosure and identifies methodological aspects revealing the deployment of fraudulent behavior and fraud detection in the corporate environment. The book applies machine learning models to identify “quality” characteristics in corporate accounting disclosure, proposing specific tools for detecting core business fraud characteristics. Covering topics that include data mining; fraud governance, detection, and prevention; and internal auditing, this book is essential for accountants, auditors, managers, fraud detection experts, forensic accountants, financial accountants, IT specialists, corporate finance experts, business analysts, academicians, researchers, and students.
Book Synopsis Innovations in Quantitative Risk Management by : Kathrin Glau
Download or read book Innovations in Quantitative Risk Management written by Kathrin Glau and published by Springer. This book was released on 2015-01-09 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative models are omnipresent –but often controversially discussed– in todays risk management practice. New regulations, innovative financial products, and advances in valuation techniques provide a continuous flow of challenging problems for financial engineers and risk managers alike. Designing a sound stochastic model requires finding a careful balance between parsimonious model assumptions, mathematical viability, and interpretability of the output. Moreover, data requirements and the end-user training are to be considered as well. The KPMG Center of Excellence in Risk Management conference Risk Management Reloaded and this proceedings volume contribute to bridging the gap between academia –providing methodological advances– and practice –having a firm understanding of the economic conditions in which a given model is used. Discussed fields of application range from asset management, credit risk, and energy to risk management issues in insurance. Methodologically, dependence modeling, multiple-curve interest rate-models, and model risk are addressed. Finally, regulatory developments and possible limits of mathematical modeling are discussed.
Book Synopsis Financial Risk Forecasting by : Jon Danielsson
Download or read book Financial Risk Forecasting written by Jon Danielsson and published by John Wiley & Sons. This book was released on 2011-04-20 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: Financial Risk Forecasting is a complete introduction to practical quantitative risk management, with a focus on market risk. Derived from the authors teaching notes and years spent training practitioners in risk management techniques, it brings together the three key disciplines of finance, statistics and modeling (programming), to provide a thorough grounding in risk management techniques. Written by renowned risk expert Jon Danielsson, the book begins with an introduction to financial markets and market prices, volatility clusters, fat tails and nonlinear dependence. It then goes on to present volatility forecasting with both univatiate and multivatiate methods, discussing the various methods used by industry, with a special focus on the GARCH family of models. The evaluation of the quality of forecasts is discussed in detail. Next, the main concepts in risk and models to forecast risk are discussed, especially volatility, value-at-risk and expected shortfall. The focus is both on risk in basic assets such as stocks and foreign exchange, but also calculations of risk in bonds and options, with analytical methods such as delta-normal VaR and duration-normal VaR and Monte Carlo simulation. The book then moves on to the evaluation of risk models with methods like backtesting, followed by a discussion on stress testing. The book concludes by focussing on the forecasting of risk in very large and uncommon events with extreme value theory and considering the underlying assumptions behind almost every risk model in practical use – that risk is exogenous – and what happens when those assumptions are violated. Every method presented brings together theoretical discussion and derivation of key equations and a discussion of issues in practical implementation. Each method is implemented in both MATLAB and R, two of the most commonly used mathematical programming languages for risk forecasting with which the reader can implement the models illustrated in the book. The book includes four appendices. The first introduces basic concepts in statistics and financial time series referred to throughout the book. The second and third introduce R and MATLAB, providing a discussion of the basic implementation of the software packages. And the final looks at the concept of maximum likelihood, especially issues in implementation and testing. The book is accompanied by a website - www.financialriskforecasting.com – which features downloadable code as used in the book.
Book Synopsis Predicting Downside Risks to House Prices and Macro-Financial Stability by : Andrea Deghi
Download or read book Predicting Downside Risks to House Prices and Macro-Financial Stability written by Andrea Deghi and published by International Monetary Fund. This book was released on 2020-01-17 with total page 47 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper predicts downside risks to future real house price growth (house-prices-at-risk or HaR) in 32 advanced and emerging market economies. Through a macro-model and predictive quantile regressions, we show that current house price overvaluation, excessive credit growth, and tighter financial conditions jointly forecast higher house-prices-at-risk up to three years ahead. House-prices-at-risk help predict future growth at-risk and financial crises. We also investigate and propose policy solutions for preventing the identified risks. We find that overall, a tightening of macroprudential policy is the most effective at curbing downside risks to house prices, whereas a loosening of conventional monetary policy reduces downside risks only in advanced economies and only in the short-term.
Book Synopsis Options for Volatile Markets by : Richard Lehman
Download or read book Options for Volatile Markets written by Richard Lehman and published by John Wiley & Sons. This book was released on 2011-07-15 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical option strategies for the new post-crisis financialmarket Traditional buy-and-hold investing has been seriously challengedin the wake of the recent financial crisis. With economic andmarket uncertainty at a very high level, options are still the mosteffective tool available for managing volatility and downside risk,yet they remain widely underutilized by individuals and investmentmanagers. In Options for Volatile Markets, Richard Lehmanand Lawrence McMillan provide you with specific strategies to lowerportfolio volatility, bulletproof your portfolio against anycatastrophe, and tailor your investments to the precise level ofrisk you are comfortable with. While the core strategy of this new edition remains covered callwriting, the authors expand into more comprehensive optionstrategies that offer deeper downside protection or even allowinvestors to capitalize on market or individual stock volatility.In addition, they discuss new offerings like weekly expirations andoptions on ETFs. For investors who are looking to capitalize onglobal investment opportunities but are fearful of lurking "blackswans", this book shows how ETFs and options can be utilized toconstruct portfolios that are continuously protected againstunforeseen calamities. A complete guide to the increased control and lowered riskcovered call writing offers active investors and traders Addresses the changing investment environment and how to useoptions to succeed within it Explains how to use options with exchange-traded funds Understanding options is now more important than ever, and withOptions for Volatile Markets as your guide, you'll quicklylearn how to use them to protect your portfolio as well as improveits overall performance.
Book Synopsis The Sortino Framework for Constructing Portfolios by : Frank A. Sortino
Download or read book The Sortino Framework for Constructing Portfolios written by Frank A. Sortino and published by Elsevier. This book was released on 2009-11-27 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: The most common way of constructing portfolios is to use traditional asset allocation strategies, which match the client's risk appetite to a weighted allocation strategy of fixed income, equities, and other types of assets. This method focuses on how the money is allocated, rather than on future returns.The Sortino method presents an innovative change from this traditional approach. Rather than using the client's risk as the main factor, this method uses the client's desired return. - Only book to describe the Sortino method and Desired Target ReturnTM in a way that enables portfolio managers to adopt the method - Software to implement the portfolio construction method is included free of charge to book buyers on a password protected Elsevier website. Book buyers can use the software to construct portfolios using this method right away, in real time. They can also load in their current portfolios and measure them against these measures - The Sortino method has been tested over 20 years at the Pension Research Institute. Portfolio managers can be confident of the success of the method, even returns in the economic crisis, in which the method has still beaten all S&P benchmarks
Book Synopsis Financial Risk Management by : José A. Soler Ramos
Download or read book Financial Risk Management written by José A. Soler Ramos and published by IDB. This book was released on 2000 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Drawing on practical methods used by successful risk managers in emerging and developed markets throughout the world, the book provides specific guidance on establishing a modern risk management framework and developing efficient approaches to increase the profitability of risk management activities in emerging market settings."--BOOK JACKET.
Book Synopsis Managing Downside Risk in Financial Markets by : Frank A. Sortino
Download or read book Managing Downside Risk in Financial Markets written by Frank A. Sortino and published by Elsevier. This book was released on 2001-09-20 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Book Synopsis Measuring Market Risk by : Kevin Dowd
Download or read book Measuring Market Risk written by Kevin Dowd and published by John Wiley & Sons. This book was released on 2003-02-28 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: The most up-to-date resource on market risk methodologies Financial professionals in both the front and back office require an understanding of market risk and how to manage it. Measuring Market Risk provides this understanding with an overview of the most recent innovations in Value at Risk (VaR) and Expected Tail Loss (ETL) estimation. This book is filled with clear and accessible explanations of complex issues that arise in risk measuring-from parametric versus nonparametric estimation to incre-mental and component risks. Measuring Market Risk also includes accompanying software written in Matlab—allowing the reader to simulate and run the examples in the book.
Book Synopsis High Returns from Low Risk by : Pim van Vliet
Download or read book High Returns from Low Risk written by Pim van Vliet and published by John Wiley & Sons. This book was released on 2017-01-17 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Believing "high-risk equals high-reward" is holding your portfolio hostage High Returns from Low Risk proves that low-volatility, low-risk portfolios beat high-volatility portfolios hands down, and shows you how to take advantage of this paradox to dramatically improve your returns. Investors traditionally view low-risk stocks as safe but unprofitable, but this old canard is based on a flawed premise; it fails to see beyond the monthly horizon, and ignores compounding returns. This book updates the thinking and brings reality to modelling to show how low-risk stocks actually outperform high-risk stocks by an order of magnitude. Easy to read and easy to implement, the plan presented here will help you construct a portfolio that delivers higher returns per unit of risk, and explains how to achieve excellent investment results over the long term. Do you still believe that investors are rewarded for bearing risk, and that the higher the risk, the greater the reward? That old axiom is holding you back, and it is time to start seeing the whole picture. This book shows you, through deep historical simulation, how to reap the rewards of smarter investing. Learn how and why low-risk, low-volatility stocks beat the market Discover the formula that outperforms Greenblatt's Construct your own low-risk portfolio Select the right ETF or low-risk fund to manage your money Great returns and lower risk sound like a winning combination — what happens once everyone is doing it? The beauty of the low-risk strategy is that it continues to work even after the paradox is widely known; long-term investment success is possible for anyone who can shake off the entrenched wisdom and go low-risk. High Returns from Low Risk provides the proof, model and strategy to reign in your exposure while raking in the profit.
Book Synopsis The Risks of Financial Institutions by : Mark Carey
Download or read book The Risks of Financial Institutions written by Mark Carey and published by University of Chicago Press. This book was released on 2007-11-01 with total page 669 pages. Available in PDF, EPUB and Kindle. Book excerpt: Until about twenty years ago, the consensus view on the cause of financial-system distress was fairly simple: a run on one bank could easily turn to a panic involving runs on all banks, destroying some and disrupting the financial system. Since then, however, a series of events—such as emerging-market debt crises, bond-market meltdowns, and the Long-Term Capital Management episode—has forced a rethinking of the risks facing financial institutions and the tools available to measure and manage these risks. The Risks of Financial Institutions examines the various risks affecting financial institutions and explores a variety of methods to help institutions and regulators more accurately measure and forecast risk. The contributors--from academic institutions, regulatory organizations, and banking--bring a wide range of perspectives and experience to the issue. The result is a volume that points a way forward to greater financial stability and better risk management of financial institutions.
Book Synopsis Capital Markets, Fifth Edition by : Frank J. Fabozzi
Download or read book Capital Markets, Fifth Edition written by Frank J. Fabozzi and published by MIT Press. This book was released on 2015-10-23 with total page 1088 pages. Available in PDF, EPUB and Kindle. Book excerpt: The substantially revised fifth edition of a textbook covering the wide range of instruments available in financial markets, with a new emphasis on risk management. Over the last fifty years, an extensive array of instruments for financing, investing, and controlling risk has become available in financial markets, with demand for these innovations driven by the needs of investors and borrowers. The recent financial crisis offered painful lessons on the consequences of ignoring the risks associated with new financial products and strategies. This substantially revised fifth edition of a widely used text covers financial product innovation with a new emphasis on risk management and regulatory reform. Chapters from the previous edition have been updated, and new chapters cover material that reflects recent developments in financial markets. The book begins with an introduction to financial markets, offering a new chapter that provides an overview of risk—including the key elements of financial risk management and the identification and quantification of risk. The book then covers market participants, including a new chapter on collective investment products managed by asset management firms; the basics of cash and derivatives markets, with new coverage of financial derivatives and securitization; theories of risk and return, with a new chapter on return distributions and risk measures; the structure of interest rates and the pricing of debt obligations; equity markets; debt markets, including chapters on money market instruments, municipal securities, and credit sensitive securitized products; and advanced coverage of derivative markets. Each chapter ends with a review of key points and questions based on the material covered.
Book Synopsis Mean-Variance Analysis in Portfolio Choice and Capital Markets by : Harry M. Markowitz
Download or read book Mean-Variance Analysis in Portfolio Choice and Capital Markets written by Harry M. Markowitz and published by John Wiley & Sons. This book was released on 2000-02-15 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: In 1952, Harry Markowitz published "Portfolio Selection," a paper which revolutionized modern investment theory and practice. The paper proposed that, in selecting investments, the investor should consider both expected return and variability of return on the portfolio as a whole. Portfolios that minimized variance for a given expected return were demonstrated to be the most efficient. Markowitz formulated the full solution of the general mean-variance efficient set problem in 1956 and presented it in the appendix to his 1959 book, Portfolio Selection. Though certain special cases of the general model have become widely known, both in academia and among managers of large institutional portfolios, the characteristics of the general solution were not presented in finance books for students at any level. And although the results of the general solution are used in a few advanced portfolio optimization programs, the solution to the general problem should not be seen merely as a computing procedure. It is a body of propositions and formulas concerning the shapes and properties of mean-variance efficient sets with implications for financial theory and practice beyond those of widely known cases. The purpose of the present book, originally published in 1987, is to present a comprehensive and accessible account of the general mean-variance portfolio analysis, and to illustrate its usefulness in the practice of portfolio management and the theory of capital markets. The portfolio selection program in Part IV of the 1987 edition has been updated and contains exercises and solutions.
Book Synopsis Encyclopedia of Finance by : Cheng-Few Lee
Download or read book Encyclopedia of Finance written by Cheng-Few Lee and published by Springer Science & Business Media. This book was released on 2006-07-27 with total page 861 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a major new reference work covering all aspects of finance. Coverage includes finance (financial management, security analysis, portfolio management, financial markets and instruments, insurance, real estate, options and futures, international finance) and statistical applications in finance (applications in portfolio analysis, option pricing models and financial research). The project is designed to attract both an academic and professional market. It also has an international approach to ensure its maximum appeal. The Editors' wish is that the readers will find the encyclopedia to be an invaluable resource.
Download or read book Asset Management written by Andrew Ang and published by Oxford University Press, USA. This book was released on 2014 with total page 717 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stocks and bonds? Real estate? Hedge funds? Private equity? If you think those are the things to focus on in building an investment portfolio, Andrew Ang has accumulated a body of research that will prove otherwise. In this book, Ang upends the conventional wisdom about asset allocation by showing that what matters aren't asset class labels but the bundles of overlapping risks they represent.
