Expected Maximum Drawdowns Under Constant And Stochastic Volatility
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Author | : Emmanuel Jurczenko |
Publisher | : Elsevier |
Total Pages | : 488 |
Release | : 2015-11-24 |
Genre | : Business & Economics |
ISBN | : 0081008112 |
This book is a compilation of recent articles written by leading academics and practitioners in the area of risk-based and factor investing (RBFI). The articles are intended to introduce readers to some of the latest, cutting edge research encountered by academics and professionals dealing with RBFI solutions. Together the authors detail both alternative non-return based portfolio construction techniques and investing style risk premia strategies. Each chapter deals with new methods of building strategic and tactical risk-based portfolios, constructing and combining systematic factor strategies and assessing the related rules-based investment performances. This book can assist portfolio managers, asset owners, consultants, academics and students who wish to further their understanding of the science and art of risk-based and factor investing. - Contains up-to-date research from the areas of RBFI - Features contributions from leading academics and practitioners in this field - Features discussions of new methods of building strategic and tactical risk-based portfolios for practitioners, academics and students
Author | : Hongzhong Zhang |
Publisher | : World Scientific |
Total Pages | : 257 |
Release | : 2018-05-07 |
Genre | : Business & Economics |
ISBN | : 9813141654 |
Stochastic Drawdowns consists of some recent advances on Dr Hongzhong Zhang's own quantitative research of the well-known risk measures, drawdowns and maximum drawdowns. In this book, the author provides an extensive probabilistic study of different aspects of drawdown risks, which include the drawdown risk in finite time-horizons, the speed of market crashes (drawdowns), the frequency of drawdowns, the occupation time (time in distress), and the duration of drawdowns. Leveraging the knowledge in stochastic calculus, Lévy processes and optimal stopping, these topics can be considered as problems in advanced applied stochastic processes, and insurance/financial mathematics.The book also offers a number of applications of drawdowns in financial risk management, insurance, and algorithmic trading, including schemes on hedging and synthesizing of maximum drawdown options, (cancellable) drawdown insurance contracts and their fair premium, as well as optimal trading under drawdown-type constraints such as trailing stops.It is the goal of this book to offer a comprehensive characterization of drawdown risks and a handful of applications of drawdown in practice. On the one hand, the book enables interested students and researchers to learn the state-of-art probabilistic research on drawdowns, and explore new mathematical problems that are of practical importance to the financial industry. On the other hand, the book provides financial practitioners with access to a variety of analytically tractable measurements of drawdown risks, and the insight into hedging, optimal trading and execution amid challenges of these risks.
Author | : M.A.H. Dempster |
Publisher | : CRC Press |
Total Pages | : 488 |
Release | : 2008-12-22 |
Genre | : Business & Economics |
ISBN | : 1420081926 |
The First Collection That Covers This Field at the Dynamic Strategic and One-Period Tactical Levels. Addressing the imbalance between research and practice, Quantitative Fund Management presents leading-edge theory and methods, along with their application in practical problems encountered in the fund management industry. A Current Snapshot of State-of-the-Art Applications of Dynamic Stochastic Optimization Techniques to Long-Term Financial Planning - The first part of the book initially looks at how the quantitative techniques of the equity industry are shifting from basic Markowitz mean-variance portfolio optimization to risk management and trading applications. This section also explores novel aspects of lifetime individual consumption investment problems, fixed-mix portfolio rebalancing allocation strategies, debt management for funding mortgages and national debt, and guaranteed return fund construction. Up-to-Date Overview of Tactical Financial Planning and Risk Management - The second section covers nontrivial computational approaches to tactical fund management. This part focuses on portfolio construction and risk management at the individual security or fund manager level over the period up to the next portfolio rebalance. It discusses non-Gaussian returns, new risk-return tradeoffs, and the robustness of benchmarks and portfolio decisions. The Future Use of Quantitative Techniques in Fund Management - With contributions from well-known academics and practitioners, this volume will undoubtedly foster the recognition and wider acceptance of stochastic optimization techniques in financial practice.
Author | : Steven E. Pav |
Publisher | : CRC Press |
Total Pages | : 353 |
Release | : 2021-09-22 |
Genre | : Business & Economics |
ISBN | : 1000442764 |
The Sharpe Ratio: Statistics and Applications is the most widely used metric for comparing the performance of financial assets. The Markowitz portfolio is the portfolio with the highest Sharpe ratio. The Sharpe Ratio: Statistics and Applications examines the statistical properties of the Sharpe ratio and Markowitz portfolio, both under the simplifying assumption of Gaussian returns, and asymptotically. Connections are drawn between the financial measures and classical statistics including Student's t, Hotelling's T^2 and the Hotelling-Lawley trace. The robustness of these statistics to heteroskedasticity, autocorrelation, fat tails and skew of returns are considered. The construction of portfolios to maximize the Sharpe is expanded from the usual static unconditional model to include subspace constraints, hedging out assets, and the use of conditioning information on both expected returns and risk. The Sharpe Ratio: Statistics and Applications is the most comprehensive treatment of the statistical properties of the Sharpe ratio and Markowitz portfolio ever published. Features: 1. Material on single asset problems, market timing, unconditional and conditional portfolio problems, hedged portfolios. 2. Inference via both Frequentist and Bayesian paradigms. 3. A comprehensive treatment of overoptimism and overfitting of trading strategies. 4. Advice on backtesting strategies. 5. Dozens of examples and hundreds of exercises for self study. The Sharpe Ratio: Statistics and Applications is an essential reference for the practicing quant strategist and the researcher alike, and an invaluable textbook for the student.
Author | : Jean-Pierre Fouque |
Publisher | : Cambridge University Press |
Total Pages | : 222 |
Release | : 2000-07-03 |
Genre | : Business & Economics |
ISBN | : 9780521791632 |
This book, first published in 2000, addresses pricing and hedging derivative securities in uncertain and changing market volatility.
Author | : Anatoliy Malyarenko |
Publisher | : Springer Nature |
Total Pages | : 907 |
Release | : 2023-01-26 |
Genre | : Mathematics |
ISBN | : 3031178203 |
The goal of the 2019 conference on Stochastic Processes and Algebraic Structures held in SPAS2019, Västerås, Sweden, from September 30th to October 2nd 2019, was to showcase the frontiers of research in several important areas of mathematics, mathematical statistics, and its applications. The conference was organized around the following topics 1. Stochastic processes and modern statistical methods,2. Engineering mathematics,3. Algebraic structures and their applications. The conference brought together a select group of scientists, researchers, and practitioners from the industry who are actively contributing to the theory and applications of stochastic, and algebraic structures, methods, and models. The conference provided early stage researchers with the opportunity to learn from leaders in the field, to present their research, as well as to establish valuable research contacts in order to initiate collaborations in Sweden and abroad. New methods for pricing sophisticated financial derivatives, limit theorems for stochastic processes, advanced methods for statistical analysis of financial data, and modern computational methods in various areas of applied science can be found in this book. The principal reason for the growing interest in these questions comes from the fact that we are living in an extremely rapidly changing and challenging environment. This requires the quick introduction of new methods, coming from different areas of applied science. Advanced concepts in the book are illustrated in simple form with the help of tables and figures. Most of the papers are self-contained, and thus ideally suitable for self-study. Solutions to sophisticated problems located at the intersection of various theoretical and applied areas of the natural sciences are presented in these proceedings.
Author | : Nicholas J. Higham |
Publisher | : Princeton University Press |
Total Pages | : 1031 |
Release | : 2015-09-15 |
Genre | : Mathematics |
ISBN | : 1400874475 |
The must-have compendium on applied mathematics This is the most authoritative and accessible single-volume reference book on applied mathematics. Featuring numerous entries by leading experts and organized thematically, it introduces readers to applied mathematics and its uses; explains key concepts; describes important equations, laws, and functions; looks at exciting areas of research; covers modeling and simulation; explores areas of application; and more. Modeled on the popular Princeton Companion to Mathematics, this volume is an indispensable resource for undergraduate and graduate students, researchers, and practitioners in other disciplines seeking a user-friendly reference book on applied mathematics. Features nearly 200 entries organized thematically and written by an international team of distinguished contributors Presents the major ideas and branches of applied mathematics in a clear and accessible way Explains important mathematical concepts, methods, equations, and applications Introduces the language of applied mathematics and the goals of applied mathematical research Gives a wide range of examples of mathematical modeling Covers continuum mechanics, dynamical systems, numerical analysis, discrete and combinatorial mathematics, mathematical physics, and much more Explores the connections between applied mathematics and other disciplines Includes suggestions for further reading, cross-references, and a comprehensive index
Author | : Romain Deguest |
Publisher | : World Scientific |
Total Pages | : 324 |
Release | : 2021-07-13 |
Genre | : Business & Economics |
ISBN | : 9811240965 |
Goal-based investing is a new paradigm that is expected to have a profound and long-lasting impact on the wealth management industry. This book presents the concept in detail and introduces a general operational framework that can be used by financial advisors to help individual investors optimally allocate their wealth by identifying performance-seeking assets and hedging assets. Grounded in the principles of asset pricing and portfolio optimisation, the goal-based investing approach leads to the design of investment solutions that truly respond to investors' problems, which can most often be summarized as follows: secure essential goals with the highest confidence level and maximize the chances to reach aspirational goals.A series of case studies guides the reader through the implementation of goal-based investing, illustrates the efficiency of this paradigm and explains how one can accommodate a variety of implementation features such as taxes, short-sales constraints, parameter estimation risk, as well as limited customisation.
Author | : Pranay Gupta |
Publisher | : John Wiley & Sons |
Total Pages | : 296 |
Release | : 2016-03-09 |
Genre | : Business & Economics |
ISBN | : 1119241596 |
Despite the accepted fact that a substantial part of the risk and return of any portfolio comes from asset allocation, we find today that the majority of investment professionals worldwide are focused on security selection. Multi-Asset Investing: A Practitioner’s Framework questions this basic structure of the investment process and investment industry. Who says we have to separate alpha and beta? Are the traditional definitions for risk and risk premium relevant in a multi-asset class world? Do portfolios cater for the ‘real risks’ in their investment processes? Does the whole Emerging Markets demarcation make sense for investing? Why do active Asian managers perform much poorer compared to developed market managers? Can you distinguish how much of a strategy’s performance comes from skill rather than luck? Does having a performance fee for your manager create alignment or misalignment? Why is the asset management transitioning from multi-asset strategies to multi-asset solutions? These and many other questions are asked, and suggestions provided as potential solutions. Having worked together for fifteen years, the authors’ present implementable solutions which have helped them successfully manage large asset pools. The Academic Perspective “Multi-Asset Investing asks fundamental questions about the asset allocation investment processes in use today, and can have a substantial impact on the future structure of the finance industry. It clarifies and distils the techniques that investment professionals need to master to add value to client portfolios.” —Paul Smith, President & CEO, CFA Institute “Pranay Gupta, Sven Skallsjo, and Bing Li describe the essential concepts and applications of multi-asset investing. Their treatment is far ranging and exceptionally lucid, and always with a nod to practical application. Buy this book and keep it close at hand.” —Mark Kritzman, MIT Sloane School of Management “Innovative solutions to some of the most difficult investment problems we are faced with today. Multi-asset Investing tackles investment issues which don’t have straight forward solutions, but nevertheless are faced by every investment professional. This book sets the standard for investment processes of all asset managers.” —SP Kothari, MIT Sloane School of Management The Asset Owner Perspective “Multi-asset means different things to different people. This is the first text that details a comprehensive framework for managing any kind of multi-asset investment problem. Further, its explanation of the commercial aspects of managing a multi-asset investment business for an asset manager, private bank or asset owner make it an indispensable tool” —Sadayuki Horie, Dy. Chairman - Investment Advisory Comm., Government Pension Investment Fund, Japan “Multi-Asset Investing shows the substantial scope there is to innovate the asset allocation process. With its novel approaches to allocation, portfolio construction and risk management it demonstrates the substantial value that can be added to any portfolio. The solutions proposed by Multi-Asset Investing are creative, thought provoking, and may well be the way all portfolios need to be managed in the future.” —Mario Therrien, Senior Vice President, Caisse de Depot et Placement du Quebec, Canada The Asset Manager’s Perspective “Never has astute asset allocation and diversification been more crucial than today. Asset Managers which are able to innovate their investment processes and products in this area, are more likely to be the winners. Multi-Asset Investing provides both simple and sophisticated, tested and implementable techniques for successfully managing multi-asset portfolios.” —Vincent Camerlynck, former CEO BNP Paribas Investment Partners, Asia Pacific The Investment Strategist Perspective “For plan sponsors, portfolio managers, analysts and risk managers, Multi-Asset Investing is an unparalleled guide for portfolio management. Its approach to blending the quantitative and fundamental, top-down and bottom up and the risk and return frameworks makes it a valuable tool for any kind of investment professional. It clarifies a complex subject into a series of practical ideas to help add value to any portfolio.” —Ajay S. Kapur, Chief Strategist, BOA Merrill Lynch Asia
Author | : Alain Bensoussan |
Publisher | : Elsevier |
Total Pages | : 743 |
Release | : 2009-06-16 |
Genre | : Mathematics |
ISBN | : 0080931006 |
Mathematical finance is a prolific scientific domain in which there exists a particular characteristic of developing both advanced theories and practical techniques simultaneously. Mathematical Modelling and Numerical Methods in Finance addresses the three most important aspects in the field: mathematical models, computational methods, and applications, and provides a solid overview of major new ideas and results in the three domains. - Coverage of all aspects of quantitative finance including models, computational methods and applications - Provides an overview of new ideas and results - Contributors are leaders of the field