Download or read book Improving Value at Risk Estimates by Combining Kernel Estimation with Historical Simulation written by Barry Schachter and published by . This book was released on 1998 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper we develop a means to improve the performance of one of the more popular methods for Value-at-Risk measurement, the historical simulation approach. The procedure we employ is the following: First, the density of the return on a portfolio is estimated using a non- parametric method, called a Gaussian kernel. Second, we derive an expression for the density of any order statistic of the return distribution. Finally, because the density is not analytic, we employ Gauss-Legendre integration to obtain the moments of the density of the order statistic, the mean being our Value-at-Risk estimate, and the standard deviation providing us with the unique ability to construct a confidence interval around the estimate. We apply this method to trading portfolios provided by a financial institution.
Download or read book Improving Value at risk Estimates by Combining Kernal Estimation with Historical Simulation written by John Scott Butler and published by . This book was released on 1996 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Combinations of High Order Gaussian Kernel Estimator with Simulation Historical of Value at Risk VaR Return Portfolio Measurement written by and published by . This book was released on 2014 with total page 19 pages. Available in PDF, EPUB and Kindle. Book excerpt: Financial experts assume that measures the risk of financial asset returns generally have a normal distribution. Reality often shows asset returns are not normally distributed, so that the constraints and make it difficult to estimate the risk of taking the measurements. For it is necessary to develop methods of risk measurement, VaR on asset returns regardless of the form of distribution as a form of financial risk estimation. In this, research the size of the financial risk VaR calculation that will be developed in the form of High-order kernel estimator of VaR with historical simulation method approach. This method implements the VaR measurement and VaR sensitivity of the asset return data are first estimated using a combination of historical simulations and high-order kernel estimators.Test results obtained Portfolio Return value estimate VaR with Historical Simulation estimation methods and the combination of high order kernels increase with increasing order kernel estimates and tend to be larger than the Historical Simulation estimation methods. Statistical properties indicates that the value of symmetry (Skewness) data distribution is generally obtained values close to zero i.e. between values of 0.06 and 1.06, which means the portfolio return data distribution approximates the shape of a symmetrical distribution. Moderate slope values (the kurtosis) showed the highest value of -1.53, which means the value of the distribution of the portfolio return data are within the scope of normal distribution in which the kurtosis value for the normal distribution is 3. Test sensitivity of VaR portfolio return data shows that the assumption of 99% for a confidence level and a one-year time horizon, VaR at 4,396% a year means 252 days of hope in the risk by 11 days on market movements.
Download or read book Improving the Historical Simulation Approach to Value at risk written by Gudmund Tore Jensen and published by . This book was released on 1999 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Historical Simulation Method for Value at Risk written by Meera Sharma and published by . This book was released on 2018 with total page 22 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper surveys the literature relating to the historical simulation method of calculating VaR. The historical simulation method is the most popular method for VaR calculation in the banking industry. Thirty Eight papers are surveyed to understand the performance measures for VaR methods and the comparative performance of Historical Simulation VaR methods. The performance measures are broadly divided into unconditional coverage and conditional coverage measures. While regulatory requirements are limited to unconditional coverage measures, conditional coverage measures have been developed to spot the phenomenon of exception clustering. The performance of historical simulation - the basic and modified methods - in comparison with other methods is surveyed through available studies. The historical simulation approach is found to provide superior unconditional coverage among a wide variety of alternate methods ranging from the simple variance covariance approach to the sophisticated GARCH, explaining its popularity in the industry. This superiority translates into lesser likelihood of regulatory penalties since the regulatory back testing framework is based on unconditional coverage. The advantage of superior performance by historical simulation is lost when it is measured on conditional coverage measures (joint tests of unconditional coverage and independence). However, the sophisticated conditional volatility models like GARCH are not much better than the historical simulation in conditional coverage. A modification to the historical simulation method, the filtered historical simulation method emerges as the best performer using conditional coverage criteria.This study has an important contribution to make to available research. First it compiles the performance measures of VaR methods. Second it surveys the modifications to the historical simulation approach. Third and most important it presents a comparative picture of the most popular approach vis a vis other methods on a variety of performance parameters.
Download or read book The Best of Both Worlds written by Jacob Boudoukh and published by . This book was released on 1997 with total page 31 pages. Available in PDF, EPUB and Kindle. Book excerpt: The hybrid approach combines the two most popular approaches to VaR estimation: RiskMetrics and Historical Simulation. It estimates the VaR of a portfolio by applying exponentially declining weights to past returns and then finding the appropriate percentile of this time-weighted empirical distribution. This new approach is very simple to implement. Empirical tests show a significant improvement in the precision of VaR forecasts using the hybrid approach relative to these popular approaches.
Download or read book Historical Simulation Value at risk written by Tracey McMahon and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Filtered Historical Simulation Value at Risk Models and Their Competitors written by Pedro Gurrola-Perez and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Improving Grid based Methods for Estimating Value at Risk of Fixed income Portfolio written by Michael S. Gibson and published by . This book was released on 2000 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book A Multivariate FGD Technique to Improve VaR Computation in Equity Markets written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: It is difficult to compute Value-at-Risk (VaR) using multivariate models able to take into account the dependence structure between large numbers of assets and being still computationally feasible. A possible procedure is based on functional gradient descent (FGD) estimation for the volatility matrix in connection with asset historical simulation. Backtest analysis on simulated and real data provides strong empirical evidence of the better predictive ability of the proposed procedure over classical filtered historical simulation, with a resulting significant improvement in the measurement of risk.
Download or read book Handbook of Analytic Computational Methods in Applied Mathematics written by George Anastassiou and published by CRC Press. This book was released on 2019-06-03 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: Working computationally in applied mathematics is the very essence of dealing with real-world problems in science and engineering. Approximation theory-on the borderline between pure and applied mathematics- has always supplied some of the most innovative ideas, computational methods, and original approaches to many types of problems. The f
Download or read book Risk Budgeting written by Neil D. Pearson and published by John Wiley & Sons. This book was released on 2011-08-31 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Institutionelle Anleger, Fonds- und Portfoliomanager müssen Risiken eingehen, wenn sie Spitzengewinne erzielen wollen. Die Frage ist nur wieviel Risiko. "Risk Budgeting: Portfolio Problem Solving with VaR" liefert die Antwort auf diese Frage. Beim Konzept des Risk Budgeting geht es um Risiko- und Kapitalallokation auf der Grundlage erwarteter Erträge und Risiken, mit dem Ziel, höhere Renditen zu erwirtschaften im Rahmen eines vordefinierten Gesamtrisikoniveaus. Mit Hilfe quantitativer Methoden zur Risikomessung, einschließlich der Value at Risk-Methode läßt sich das Risiko ermitteln und bewerten. Value at Risk (VaR) ist ein Verfahren zur Risikobewertung, das Banken ursprünglich zur Messung und Begrenzung von Marktpreisrisiken eingesetzt haben. Heute wird die VaR-Methode auch verstärkt im Risikomanagement eingesetzt. Dieses Buch bietet eine fundierte Einführung in die VaR-Methode sowie in Verfahren zur Risikomessung bei Extremereignissen und Krisenszenarien (Stress Testing). Darüber hinaus erklärt es, wie man mit Hilfe des Risk Budgeting ein effizienteres Portfoliomanagement erreicht. "Risk Budgeting: Portfolio Problem Solving with VaR" ist das einzige Buch auf dem Markt, das Risk Budgeting und VaR - zwei brandaktuelle Themen im Portfoliomanagement - speziell für institutionelle Investment- und Portfolio-Manager aufbereitet. Eine unverzichtbare Lektüre.
Download or read book Professional s Handbook of Financial Risk Management written by Lev Borodovsky and published by Elsevier. This book was released on 2000-02-25 with total page 817 pages. Available in PDF, EPUB and Kindle. Book excerpt: Professional's Handbook of Financial Risk Management is a major reference work in finance. A complete practical reference book covering all aspects of financial risk management including an in-depth look at operational risk management, regulation, risk-based capital, and risk adjusted performance measurement. The book focuses on practical financial risk management techniques and solutions, and is designed to guide the risk professional step-by-step through the implementation of a firm-wide risk management framework. This book covers the various roles of the risk management function. Rather than describing every possible role in exhaustive detail, the authors have provided a story line for each of the discussed topics, including practical issues that a risk manager needs to consider when tackling the subject, possible solutions to difficulties that might be encountered, background knowledge that is essential to know, and more intricate practices and techniques that are being used. By providing these fundamentals, the novice risk professional can gain a thorough understanding of the topic in question while the more experienced professional can use some of the more advanced concepts within the book. Thus the book can be used to broaden your own knowledge of the risk world, both by familiarizing yourself with areas in which you lack experience and by enhancing your knowledge in areas that you already have expertise. All authors are leaders in their field who between them have the expertise and knowledge, both practical and theoretical, to produce this definitive risk management guide. The editors of this book, Marc Lore and Lev Borodovsky, are senior financial risk managers at Sanwa Bank (International) London, and Credit Suisse First Boston, USA respectively. They also run The Global Association of Risk Professionals (GARP), the industry association for financial risk management practitioners and researchers. Endorsed by GARP - Global Association of Risk Professionals Authored and edited by leading financial markets risk professionals International in coverage; the concepts and methods covered are not specific to any country or institution, but rather to the risk management profession as a whole
Download or read book Beyond Value at Risk written by Kevin Dowd and published by . This book was released on 1998-05-05 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Finance/Investment Beyond Value at Risk The New Science of Risk Management A Comprehensive Guide to Value at Risk and Risk Management Risk management and measurement are now, without doubt, the hottest topics in the finance world. Today, quantifying risk management is not only a management tool - but is also used by regulators for banks and finance houses. Beyond Value at Risk provides a comprehensive guide to recent developments and existing approaches to VaR and risk management, going beyond traditional approaches to the subject and offering a new, far-reaching perspective on investment, hedging and portfolio decision-making. The key to this distinctive approach is a new decision rule - the 'Generalised Sharpe Rule', and its practical applications. Beyond Value at Risk provides the answers to key questions, including: * How to implement VaR and related systems in the real world * How to make vital investment decisions and estimate their effect * How to make hedging decisions * How to manage a portfolio It offers financial professionals, academics and students comprehensive coverage of VaR both in theory and practice.
Download or read book Understanding Financial Risk Management written by Angelo Corelli and published by Emerald Group Publishing. This book was released on 2024-05-27 with total page 605 pages. Available in PDF, EPUB and Kindle. Book excerpt: Financial risk management is a topic of primary importance in financial markets. It is important to learn how to measure and control risk, how to be primed for the opportunity of compensative return, and how to avoid useless exposure.
Download or read book Quantitative Financial Economics written by Keith Cuthbertson and published by John Wiley & Sons. This book was released on 2005-05-05 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new edition of the hugely successful Quantitative Financial Economics has been revised and updated to reflect the most recent theoretical and econometric/empirical advances in the financial markets. It provides an introduction to models of economic behaviour in financial markets, focusing on discrete time series analysis. Emphasis is placed on theory, testing and explaining ‘real-world’ issues. The new edition will include: Updated charts and cases studies. New companion website allowing students to put theory into practice and to test their knowledge through questions and answers. Chapters on Monte Carlo simulation, bootstrapping and market microstructure.
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.
