Download or read book Downside risk Performance Measures and Hedge Funds written by Vishal Mewasingh and published by . This book was released on 2006 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper delves into performance measures which have recently emerged in an attempt to circumvent the well recognised flaws of conventional measures derived solely from mean and standard deviation. I use several of these measures to rank both equity indices as well as hedge fund strategies based on their likelihood of achieving a particular return level, relative to the downside risk associated with that target return. This method makes intuitive sense since one of the key characteristics of hedge funds is to seek to capture most upside while protecting the downside. While the conclusions clearly point to the superiority of hedge funds at all return thresholds, with the equity indices improving their rankings from worst to middle of the pack at the higher threshold levels, the use of the downside measures is not clear-cut and can be fraught with some ambiguity in the interpretation of rankings which they yield.

Download or read book Performance Measurement of Hedge Funds Portfolios in a Downside Risk Framework written by Chokri Mamoghli and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: We showed that traditional performance measures are not adequate for the performance evaluation of hedge funds portfolios because they take into account neither the asymmetry of returns nor the risk perception of investors. In order to overcome this problem, we made recourse to performance measures in the downside risk framework. By using the Credit Suisse/Tremont Hedge Fund database, we showed that Sortino ratio; upside potential ratio and Omega measure make it possible to overcome the drawbacks of Sharpe ratio. The results obtained also showed that the index of Mamoghli and Daboussi is the adequate measure which makes it possible to surmount the drawbacks of Treynor index and Mishra and Rahman index. Likewise, the results proved that alpha of Mamoghli and Daboussi measures more correctly than Jensen alpha and Mishra and Rahman alpha the performance of hedge funds.

Download or read book Portfolio Performance Meaurement and Benchmarking Fixed Income Risk written by Jon A. Christopherson and published by McGraw Hill Professional. This book was released on 2009-05-15 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here is a chapter from Portfolio Performance Measurement and Benchmarking, which will help you create a system you can use to accurately measure your performance. The authors highlight common mechanical problems involved in building benchmarks and clearly illustrate the resulting fallouts. The failure to choose the right investing performance benchmarks often leads to bad decisions or inaction and, inevitably, lost profits. In this book you will discover a foundation for benchmark construction and discuss methods for all different asset classes and investment styles.

Download or read book Market Risk Management for Hedge Funds written by Francois Duc and published by John Wiley & Sons. This book was released on 2010-04-01 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a cutting edge introduction to market risk management for Hedge Funds, Hedge Funds of Funds, and the numerous new indices and clones launching coming to market on a near daily basis. It will present the fundamentals of quantitative risk measures by analysing the range of Value-at-Risk (VaR) models used today, addressing the robustness of each model, and looking at new risk measures available to more effectively manage risk in a hedge fund portfolio. The book begins by analysing the current state of the hedge fund industry - at the ongoing institutionalisation of the market, and at its latest developments. It then moves on to examine the range of risks, risk controls, and risk management strategies currently employed by practitioners, and focuses on particular risks embedded in the more classic investment strategies such as Long/Short, Convertible Arbitrage, Fixed Income Arbitrage, Short selling and risk arbitrage. Addressed along side these are other risks common to hedge funds, including liquidity risk, leverage risk and counterparty risk. The book then moves on to examine more closely two models which provide the underpinning for market risk management in investment today - Style Value-at-Risk and Implicit Value-at-Risk. As well as full quantitative analysis and backtesting of each methodology, the authors go on to propose a new style model for style and implicit Var, complete with analysis, real life examples and backtesting. The authors then go on to discuss annualisation issues and risk return before moving on to propose a new model based on the authors own Best Choice Implicit VaR approach, incorporating quantitative analysis, market results and backtesting and also its potential for new hedge fund clone products. This book is the only guide to VaR for Hedge Funds and will prove to be an invaluable resource as we embark into an era of increasing volatility and uncertainty.

Download or read book Downside Risk Analysis Applied to the Hedge Funds Universe written by Josep Perelló and published by . This book was released on 2007 with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hedge Funds are considered as one of the portfolio management sectors which shows a fastest growing for the past decade. An optimal Hedge Fund management requires an appropriate risk metrics. The classic CAPM theory and its Ratio Sharpe fail to capture some crucial aspects due to the strong non-Gaussian character of Hedge Funds statistics. A possible way out to this problem while keeping the CAPM simplicity is the so-called Downside Risk analysis. One important benefit lies in distinguishing between good and bad returns, that is: returns greater or lower than investor's goal. We revisit most popular Downside Risk indicators and provide new analytical results on them. We compute these measures by taking the Credit Suisse/Tremont Investable Hedge Fund Index Data and with the Gaussian case as a benchmark. In this way an unusual transversal lecture of the existing Downside Risk measures is provided.

Download or read book Portfolio Performance Evaluation written by George O. Aragon and published by Now Publishers Inc. This book was released on 2008 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper provides a review of the methods for measuring portfolio performance and the evidence on the performance of professionally managed investment portfolios. Traditional performance measures, strongly influenced by the Capital Asset Pricing Model of Sharpe (1964), were developed prior to 1990. We discuss some of the properties and important problems associated with these measures. We then review the more recent Conditional Performance Evaluation techniques, designed to allow for expected returns and risks that may vary over time, and thus addressing one major shortcoming of the traditional measures. We also discuss weight-based performance measures and the stochastic discount factor approach. We review the evidence that these newer measures have produced on selectivity and market timing ability for professional managed investment funds. The evidence includes equity style mutual funds, pension funds, asset allocation style funds, fixed income funds and hedge funds.

Download or read book Measuring Hedge Fund Risk with Multi Moment Risk Measures written by Zsolt Berenyi and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Alternative investments, and especially hedge funds, often have 1) non-normally distributed returns and 2) attributes like thin trading or limited liquidity, both being characteristic to this class of investments. In this paper, I propose a higher moment-based distributional risk measure, termed as variance-equivalent, which is designed to account exactly for the above features. This class of risk measures is based on the consideration that investors trade return moments within the set of available investments. This notion also provides a unique risk adjustment method, which is tested empirically on a sample of mutual and hedge funds. Comparing these moment-based risk measures with other, conventional measures of risk, such as the variance or downside deviation, they are examined for efficiency in terms of opportunity costs when using the given criteria as an ex ante decision tool for portfolio performance.

Download or read book Portfolio Performance Measurement and Benchmarking Chapter 9 What Is Risk written by Jon A. Christopherson and published by McGraw Hill Professional. This book was released on 2009-05-15 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here is a chapter from Portfolio Performance Measurement and Benchmarking, which will help you create a system you can use to accurately measure your performance. The authors highlight common mechanical problems involved in building benchmarks and clearly illustrate the resulting fallouts. The failure to choose the right investing performance benchmarks often leads to bad decisions or inaction and, inevitably, lost profits. In this book you will discover a foundation for benchmark construction and discuss methods for all different asset classes and investment styles.

Download or read book Does the Use of Downside Risk Adjusted Measures Lead to Better Future Performance written by Florinda Silva and published by . This book was released on 2011 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper investigates how past performance, as measured by alternative risk-adjusted measures is informative of future performance. Performance results based on the Sharpe Ratio and several downside risk-adjusted performance measures (the Sortino ratio, excess return on Cornish-Fisher VaR, excess return on VaR, and excess return on Expected Shortfall) are compared. VaR and Expected Shortfall are computed using Filtered Historical Simulation (FHS), a hybrid methodology that combines the use of volatility models with bootstrapping techniques and is robust to the stylized facts of time series data on financial asset returns. Recent empirical evidence is somewhat controversial. Some studies suggest that the use of different risk-adjusted performance measures (traditional vs downside risk-adjusted) does not seem to matter for investment fund decisions (Eling & Schuhmacher, 2007; Eling, 2008) while others suggest that it matters at least for some of the measures (Ornelas et al. 2010; Zakamouline, 2010). In most of the cases, the observed level of statistical association between the Sharpe Ratio and the downside risk-adjusted measures of performance is not as low as would be expected. However, even if in empirical research statistical tests are not able to capture significant differences between rankings based on different measures, the economic significance of these differences may be relevant for investors and fund managers. In fact, it is of interest to assess to what extent the ex ante use of each of these measures can lead to better ex post performance results, regardless of the correlation between performance rankings and measures. Our sample includes portfolios of Large Cap US funds over the period 1999 to 2010. In each month, portfolios of funds are created based on the rankings of the funds resulting from the different risk-adjusted performance measures. A estimation window of five years is used. The cumulative return of the top performing funds is then compared with the bottom performing funds.

Download or read book Hedge Fund Alpha written by John M. Longo and published by World Scientific. This book was released on 2009 with total page 333 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hedge funds are perhaps the hottest topic in finance today, but little material of substance to date has been written on the topic. Most books focus on how to set up a hedge fund and the basic strategies, while few to none focus on what matters most: generating and understanding investment performance. This book takes an exclusive look at the latter, including an analysis of the areas that are most likely to generate strong investment returns OCo namely, the emerging markets of Brazil, Russia, India and China. The book will be invaluable to not only financial professionals, but anyone interested in learning about hedge funds and their future.

Download or read book Risk Measures for Autocorrelated Hedge Fund Returns written by Antonio Di Cesare and published by . This book was released on 2014 with total page 53 pages. Available in PDF, EPUB and Kindle. Book excerpt: Standard risk metrics tend to underestimate the true risks of hedge funds because of serial correlation in the reported returns. Getmansky, Lo, and Makarov (2004) derive mean, variance, Sharpe ratio, and beta formulae adjusted for serial correlation. Following their lead, we derive adjusted downside and global measures of individual and systemic risks. We distinguish between normally and fat tailed distributed returns and show that adjustment is particularly relevant for downside risk measures in the case of fat tails. A hedge fund case study reveals that the unadjusted risk measures considerably underestimate the true extent of individual and systemic risks.The appendices for this paper are available at the following URL: "http://ssrn.com/abstract=2467834" http://ssrn.com/abstract=2467834.

Download or read book Multidimensional Risk Performance Measurement for Hedge Funds written by Clement Boakye and published by . This book was released on 2016 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt: Part A of the study uses Data Envelopment Analysis (DEA) from the field of Operations Research to analyze the performance of hedge funds. The analysis can be extended to other investment portfolios since the implementation of DEA does not require that your data be normally distributed like other conventional performance measures.Part B uses a multiple linear regression model of the form similar to a multi-factor Capital Asset Pricing Model to explain hedge fund exposures to various capital markets (if any). This method however assumes that the data is normally distributed. The results are only used as a guide in explaining hedge fund exposures and not for exact predictive purposes.

Download or read book Portfolio Performance Measurement and Benchmarking Chapter 31 Hedge Fund Universes written by Jon A. Christopherson and published by McGraw Hill Professional. This book was released on 2009-05-15 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here is a chapter from Portfolio Performance Measurement and Benchmarking, which will help you create a system you can use to accurately measure your performance. The authors highlight common mechanical problems involved in building benchmarks and clearly illustrate the resulting fallouts. The failure to choose the right investing performance benchmarks often leads to bad decisions or inaction and, inevitably, lost profits. In this book you will discover a foundation for benchmark construction and discuss methods for all different asset classes and investment styles.

Download or read book Portfolio Performance Measurement and Benchmarking Chapter 12 Conditional Performance Evaluation written by Jon A. Christopherson and published by McGraw Hill Professional. This book was released on 2009-05-15 with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here is a chapter from Portfolio Performance Measurement and Benchmarking, which will help you create a system you can use to accurately measure your performance. The authors highlight common mechanical problems involved in building benchmarks and clearly illustrate the resulting fallouts. The failure to choose the right investing performance benchmarks often leads to bad decisions or inaction and, inevitably, lost profits. In this book you will discover a foundation for benchmark construction and discuss methods for all different asset classes and investment styles.

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

Download or read book Practical Risk Adjusted Performance Measurement written by Carl R. Bacon and published by John Wiley & Sons. This book was released on 2021-10-22 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore different measures of ex-post risk-adjusted performance measurement and learn to choose the correct one In the newly revised Second Edition of Practical Risk-Adjusted Performance Measurement, accomplished risk and investment expert Carl R. Bacon delivers an insightful, accessible, and real-world guide to ex-post risk measurement. The author bridges the gap between theory and practice, showing you how to apply the former to the latter without introducing unnecessary mathematical complexity. The book describes the fundamentals of risk in the asset management context and the descriptive statistics used to describe it. It builds on that foundation with detailed examinations of concepts like regression, drawdown, and partial moments, before moving on to topics like fixed income risk and Prospect Theory. With helpful additions that include recently developed measures of risk, supplementary explanatory sections, and six brand-new chapters, this book also offers: A practical classification of all ex-post risk measures and how they connect to one another An explanation of how risk-adjusted performance measures impact performance fees A discussion of risk measure dashboard designs Instructions on how appraisal measures should be used for manager selection Perfect for portfolio managers, asset owners, risk controllers, and investment performance analysts, Practical Risk-Adjusted Performance Measurement is an indispensable resource for anyone looking for a hands-on exploration of the buy-side, asset management perspective.

Download or read book Hedge Funds written by François-Serge Lhabitant and published by John Wiley & Sons. This book was released on 2009-08-20 with total page 573 pages. Available in PDF, EPUB and Kindle. Book excerpt: "An excellent and comprehensive source of information on hedge funds! From a quantitative view Lhabitant has done it once again by meticulously looking at the important topics in the hedge fund industry. This book has a tremendous wealth of information and is a valuable addition to the hedge fund literature. In addition, it will benefit institutional investors, high net worth individuals, academics and anyone interested in learning more about this fascinating and often mysterious world of privately managed money. Written by one of the most respected practitioners and academics in the area of hedge funds." —Greg N. Gregoriou, Professor of finance and research coordinator in the School of Business and Economics at Plattsburgh State University of New York "This is a landmark book on quantitative approaches to hedge funds. All those with a stake in building hedge fund portfolios will highly profit from this exhaustive guide. A must read for all those involved in hedge fund investing." —Pascal Botteron, Ph.D., Head of Hedge Fund Product Development, Pictet Asset Management "François-Serge Lhabitant's second book will prove to be a bestseller too - just like Hedge Funds: Myths and Limits. He actually manages to make quantitative analysis 'approachable'- even for those less gifted with numbers. This book, like its predecessor, includes an unprecedented mix of common sense and sophisticated technique. A fantastic guide to the 'nuts and bolts' of hedge fund analysis and a 'must' for every serious investor." —Barbara Rupf Bee, Head of Alternative Fund Investment Group, HSBC Private Bank, Switzerland "An excellent book, providing deep insights into the complex quantitative analysis of hedge funds in the most lucid and intuitive manner. A must-have supplement to Lhabitant's first book dealing with the mystical and fascinating world of hedge funds. Highly recommended!" —Vikas Agarwal, Assistant Professor of Finance, J. Mack Robinson College of Business, Georgia State University "Lhabitant has done it again! Whereas most books on hedge funds are nothing more than glorified marketing brochures, Lhabitant's new book tells it how it is in reality. Accessible and understandable but at the same time thorough and critical." —Harry M. Kat, Ph.D., Professor of Risk Management and Director Alternative Investment Research Centre, Cass Business School, City University "Lhabitant's latest work on hedge funds yet again delivers on some ambitious promises. Successfully bridging theory and practice in a highly accessible manner, those searching for a thorough yet unintimidating introduction to the quantitative methods of hedge fund analysis will not be disappointed." —Christopher L. Culp, Ph.D., Adjunct Professor of Finance, Graduate School of Business, The University of Chicago and Principal, Chicago Partners LLC