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EBookClubs

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Book Volatility Investments in a Mean Variance Framework

Download or read book Volatility Investments in a Mean Variance Framework written by Andreas Andrikopoulos and published by . This book was released on 2007 with total page 10 pages. Available in PDF, EPUB and Kindle. Book excerpt: The emergence of volatility and variance derivatives has established volatility as an independent asset class. This stream of financial thought and practice has treated volatility of returns as an asset and it is an asset well-known to be difficult to observe, trade and hedge against. This paper argues that if we treat volatility as an asset, then we could benefit from implementing our fundamental principles of asset pricing and risk management in a way that aims at maximizing expected investment proceeds for a given level of (volatility) risk. In this framework, this paper proposes that an efficient way to handle the risks related to volatility investments is to construct a portfolio of volatility assets, employing the traditional answers of modern portfolio theory with respect to decision making problems in asset management.

Book Robust Equity Portfolio Management

Download or read book Robust Equity Portfolio Management written by Woo Chang Kim and published by John Wiley & Sons. This book was released on 2015-11-25 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive portfolio optimization guide, with provided MATLAB code Robust Equity Portfolio Management + Website offers the most comprehensive coverage available in this burgeoning field. Beginning with the fundamentals before moving into advanced techniques, this book provides useful coverage for both beginners and advanced readers. MATLAB code is provided to allow readers of all levels to begin implementing robust models immediately, with detailed explanations and applications in the equity market included to help you grasp the real-world use of each technique. The discussion includes the most up-to-date thinking and cutting-edge methods, including a much-needed alternative to the traditional Markowitz mean-variance model. Unparalleled in depth and breadth, this book is an invaluable reference for all risk managers, portfolio managers, and analysts. Portfolio construction models originating from the standard Markowitz mean-variance model have a high input sensitivity that threatens optimization, spawning a flurry of research into new analytic techniques. This book covers the latest developments along with the basics, to give you a truly comprehensive understanding backed by a robust, practical skill set. Get up to speed on the latest developments in portfolio optimization Implement robust models using provided MATLAB code Learn advanced optimization methods with equity portfolio applications Understand the formulations, performances, and properties of robust portfolios The Markowitz mean-variance model remains the standard framework for portfolio optimization, but the interest in—and need for—an alternative is rapidly increasing. Resolving the sensitivity issue and dramatically reducing portfolio risk is a major focus of today's portfolio manager. Robust Equity Portfolio Management + Website provides a viable alternative framework, and the hard skills to implement any optimization method.

Book Risk Based and Factor Investing

Download or read book Risk Based and Factor Investing written by Emmanuel Jurczenko and published by Elsevier. This book was released on 2015-11-24 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Book Portfolio and Investment Analysis with SAS

Download or read book Portfolio and Investment Analysis with SAS written by John B. Guerard and published by SAS Institute. This book was released on 2019-04-03 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Choose statistically significant stock selection models using SAS® Portfolio and Investment Analysis with SAS®: Financial Modeling Techniques for Optimization is an introduction to using SAS to choose statistically significant stock selection models, create mean-variance efficient portfolios, and aggressively invest to maximize the geometric mean. Based on the pioneering portfolio selection techniques of Harry Markowitz and others, this book shows that maximizing the geometric mean maximizes the utility of final wealth. The authors draw on decades of experience as teachers and practitioners of financial modeling to bridge the gap between theory and application. Using real-world data, the book illustrates the concept of risk-return analysis and explains why intelligent investors prefer stocks over bonds. The authors first explain how to build expected return models based on expected earnings data, valuation ratios, and past stock price performance using PROC ROBUSTREG. They then show how to construct and manage portfolios by combining the expected return and risk models. Finally, readers learn how to perform hypothesis testing using Bayesian methods to add confidence when data mining from large financial databases.

Book Optimal Investments in Volatility

Download or read book Optimal Investments in Volatility written by Reinhold Hafner and published by . This book was released on 2008 with total page 22 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volatility has evolved as an attractive new asset class of its own. The most common instruments for trading volatility are variance swaps. Mean returns of DAX and ESX variance swaps over the time period from 1995 to 2004 are strongly negative, and only part of the negative premium can be explained by the negative correlation of variance swap returns with stock market indices. We analyze the implications of this observation for optimal portfolio compositions. Mean-variance efficient portfolios are characterized by sizable short positions in variance swaps. Typically, the stock index is also sold short to achieve a better portfolio diversification. To be able to capture heterogeneous preferences for higher moments, we use a variant of the Polynomial Goal Programming method. We assume that investors strive for a high Sharpe ratio, high skewness and low kurtosis. Our analysis reveals that a balanced trade-off between Sharpe ratio and skewness often does not exist. Investors are advised to hold the extreme portfolios (Sharpe ratio driven, skewness driven or kurtosis driven) and avoid to be stuck in the middle. This 'all-or-nothing' characteristic is reflected in jumps of asset weights when certain thresholds of preference parameters are crossed. These empirical findings can explain why many investors are so reluctant to implement option-based short-selling strategies.

Book Proximity Bias in Investors    Portfolio Choice

Download or read book Proximity Bias in Investors Portfolio Choice written by Ted Lindblom and published by Springer. This book was released on 2017-08-06 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book helps readers understand the widely documented distortion in the portfolio choice of individual investors toward proximate firms – the proximity bias phenomenon. First, it recapitulates the fundamentals of modern portfolio theory. It then goes on to describe and demonstrate different approaches on how to measure proximity bias and identifies and examines potential motives and reasons for such a bias. In addition, the book presents new analysis on the financial effects of individual investors’ proximity bias, explaining and contributing with possible policy implications on their portfolio distortion. This book will be of interest to students and researchers, as well as decision-makers in business firms and households.

Book Advances in Investment Analysis and Portfolio Management  New Series  Vol   9

Download or read book Advances in Investment Analysis and Portfolio Management New Series Vol 9 written by Cheng F. Lee and published by Center for PBBEFR & Ainosco Press. This book was released on 2019-01-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Investment Analysis and Portfolio Management (New Series) is an annual publication designed to disseminate developments in the area of investment analysis and portfolio management. The publication is a forum for statistical and quantitative analyses of issues in security analysis, portfolio management, options, futures, and other related issues. The objective is to promote interaction between academic research in finance, economics, and accounting and applied research in the financial community.

Book Behavioral Investment Management  An Efficient Alternative to Modern Portfolio Theory

Download or read book Behavioral Investment Management An Efficient Alternative to Modern Portfolio Theory written by Greg B. Davies and published by McGraw Hill Professional. This book was released on 2012-01-12 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: The End of Modern Portfolio Theory Behavioral Investment Management proves what many have been thinking since the global economic downturn: Modern Portfolio Theory (MPT) is no longer a viable portfolio management strategy. Inherently flawed and based largely on ideology, MPT can not be relied upon in modern markets. Behavioral Investment Management offers a new approach-one addresses certain realities that MPT ignores, including the fact that emotions play a major role in investing. The authors lay out new standards reflecting behavioral finance and dynamic asset allocation, then explain how to apply these standards to your current portfolio construction efforts. They explain how to move away from the idealized, black-and-white world of MPT and into the real world of investing--placing heavy emphasis on the importance of mastering emotions. Behavioral Investment Management provides a portfolio-management standard for an investing world in disarray. PART 1- The Current Paradigm: MPT (Modern Portfolio Theory); Chapter 1: Modern Portfolio Theory as it Stands; Chapter 2: Challenges to MPT: Theoretical-the assumptions are not thus; Chapter 3: Challenges to MPT: Empirical-the world is not thus; Chapter 4: Challenges to MPT: Behavioural-people are not thus; Chapter 5: Describing the Overall Framework: Investors and Investments; PART 2- Amending MPT: Getting to BMPT; Chapter 1:Investors-The Rational Investor; Chapter 2: Investments-Extracting Value from the long-term; Chapter 3: Investments-Extracting Value from the short-term; Chapter 4: bringing it together, the new BMPT paradigm; PART 3- Emotional Insurance: Sticking with the Journey; Chapter 1: Investors- the emotional investor; Chapter 2: Investments- Constraining the rational portfolio; PART 4- Practical Implications; Chapter 1: The BMPT and Wealth Management; Chapter 2: The BMPT and the Pension Industry; Chapter 3: The BMPT and Asset Managemen

Book Portfolio Risk Analysis

Download or read book Portfolio Risk Analysis written by Gregory Connor and published by Princeton University Press. This book was released on 2010-03-15 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Portfolio risk forecasting has been and continues to be an active research field for both academics and practitioners. Almost all institutional investment management firms use quantitative models for their portfolio forecasting, and researchers have explored models' econometric foundations, relative performance, and implications for capital market behavior and asset pricing equilibrium. Portfolio Risk Analysis provides an insightful and thorough overview of financial risk modeling, with an emphasis on practical applications, empirical reality, and historical perspective. Beginning with mean-variance analysis and the capital asset pricing model, the authors give a comprehensive and detailed account of factor models, which are the key to successful risk analysis in every economic climate. Topics range from the relative merits of fundamental, statistical, and macroeconomic models, to GARCH and other time series models, to the properties of the VIX volatility index. The book covers both mainstream and alternative asset classes, and includes in-depth treatments of model integration and evaluation. Credit and liquidity risk and the uncertainty of extreme events are examined in an intuitive and rigorous way. An extensive literature review accompanies each topic. The authors complement basic modeling techniques with references to applications, empirical studies, and advanced mathematical texts. This book is essential for financial practitioners, researchers, scholars, and students who want to understand the nature of financial markets or work toward improving them.

Book Portfolio Construction and Analytics

Download or read book Portfolio Construction and Analytics written by Frank J. Fabozzi and published by John Wiley & Sons. This book was released on 2016-03-23 with total page 579 pages. Available in PDF, EPUB and Kindle. Book excerpt: A detailed, multi-disciplinary approach to investment analytics Portfolio Construction and Analytics provides an up-to-date understanding of the analytic investment process for students and professionals alike. With complete and detailed coverage of portfolio analytics and modeling methods, this book is unique in its multi-disciplinary approach. Investment analytics involves the input of a variety of areas, and this guide provides the perspective of data management, modeling, software resources, and investment strategy to give you a truly comprehensive understanding of how today's firms approach the process. Real-world examples provide insight into analytics performed with vendor software, and references to analytics performed with open source software will prove useful to both students and practitioners. Portfolio analytics refers to all of the methods used to screen, model, track, and evaluate investments. Big data, regulatory change, and increasing risk is forcing a need for a more coherent approach to all aspects of investment analytics, and this book provides the strong foundation and critical skills you need. Master the fundamental modeling concepts and widely used analytics Learn the latest trends in risk metrics, modeling, and investment strategies Get up to speed on the vendor and open-source software most commonly used Gain a multi-angle perspective on portfolio analytics at today's firms Identifying investment opportunities, keeping portfolios aligned with investment objectives, and monitoring risk and performance are all major functions of an investment firm that relies heavily on analytics output. This reliance will only increase in the face of market changes and increased regulatory pressure, and practitioners need a deep understanding of the latest methods and models used to build a robust investment strategy. Portfolio Construction and Analytics is an invaluable resource for portfolio management in any capacity.

Book Advances in Investment Analysis and Portfolio Management

Download or read book Advances in Investment Analysis and Portfolio Management written by Cheng-Few Lee and published by Elsevier. This book was released on 2001-02-02 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: - Desarrolla una metodología que permite compaginar la adquisición de los objetivos y el trabajo en competencias básicas. - Asume un compromiso con la educación en valores que se refleja en el tratamiento de los contenidos, de la ilustración y de las propuestas de trabajo. - Otorga un papel destacado a las nuevas tecnologías. - Favorece la adecuación de la exposición y la profundidad de los contenidos con el grado de maduración del alumnado. - Confiere a las ilustraciones un papel didáctico de primer orden. - Proporciona una rica oferta en actividades, tanto en el plano cuantitativo como en el cualitativo. - Ofrece materiales que fomentan la autoevaluación del alumnado.

Book DIY Financial Advisor

Download or read book DIY Financial Advisor written by Wesley R. Gray and published by John Wiley & Sons. This book was released on 2015-08-31 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: DIY Financial Advisor: A Simple Solution to Build and Protect Your Wealth DIY Financial Advisor is a synopsis of our research findings developed while serving as a consultant and asset manager for family offices. By way of background, a family office is a company, or group of people, who manage the wealth a family has gained over generations. The term 'family office' has an element of cachet, and even mystique, because it is usually associated with the mega-wealthy. However, practically speaking, virtually any family that manages its investments—independent of the size of the investment pool—could be considered a family office. The difference is mainly semantic. DIY Financial Advisor outlines a step-by-step process through which investors can take control of their hard-earned wealth and manage their own family office. Our research indicates that what matters in investing are minimizing psychology traps and managing fees and taxes. These simple concepts apply to all families, not just the ultra-wealthy. But can—or should—we be managing our own wealth? Our natural inclination is to succumb to the challenge of portfolio management and let an 'expert' deal with the problem. For a variety of reasons we discuss in this book, we should resist the gut reaction to hire experts. We suggest that investors maintain direct control, or at least a thorough understanding, of how their hard-earned wealth is managed. Our book is meant to be an educational journey that slowly builds confidence in one's own ability to manage a portfolio. We end our book with a potential solution that could be applicable to a wide-variety of investors, from the ultra-high net worth to middle class individuals, all of whom are focused on similar goals of preserving and growing their capital over time. DIY Financial Advisor is a unique resource. This book is the only comprehensive guide to implementing simple quantitative models that can beat the experts. And it comes at the perfect time, as the investment industry is undergoing a significant shift due in part to the use of automated investment strategies that do not require a financial advisor's involvement. DIY Financial Advisor is an essential text that guides you in making your money work for you—not for someone else!

Book Reinsurance

    Book Details:
  • Author : Hansjörg Albrecher
  • Publisher : John Wiley & Sons
  • Release : 2017-11-06
  • ISBN : 0470772689
  • Pages : 366 pages

Download or read book Reinsurance written by Hansjörg Albrecher and published by John Wiley & Sons. This book was released on 2017-11-06 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reinsurance: Actuarial and Statistical Aspects provides a survey of both the academic literature in the field as well as challenges appearing in reinsurance practice and puts the two in perspective. The book is written for researchers with an interest in reinsurance problems, for graduate students with a basic knowledge of probability and statistics as well as for reinsurance practitioners. The focus of the book is on modelling together with the statistical challenges that go along with it. The discussed statistical approaches are illustrated alongside six case studies of insurance loss data sets, ranging from MTPL over fire to storm and flood loss data. Some of the presented material also contains new results that have not yet been published in the research literature. An extensive bibliography provides readers with links for further study.

Book Open Loop Equilibrium Strategy for Mean Variance Portfolio Problem Under Stochastic Volatility

Download or read book Open Loop Equilibrium Strategy for Mean Variance Portfolio Problem Under Stochastic Volatility written by Tingjin Yan and published by . This book was released on 2019 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt: We formulate the open-loop control framework for time-consistent mean-variance (TCMV) portfolio problems in incomplete markets with stochastic volatility (SV). We offer the existence and uniqueness results of the TCMV equilibrium controls for general SV models and derive explicit closed-form equilibrium controls for several popular models, including the Heston, Hull-White and 3/2 SV models. The uniqueness of the equilibrium controls are related to the mean-reverting speed of the volatility and the investment horizon.

Book Stock Market Structure  Volatility  and Volume

Download or read book Stock Market Structure Volatility and Volume written by Hans R. Stoll and published by . This book was released on 1990 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Strategic Asset Allocation

Download or read book Strategic Asset Allocation written by John Y. Campbell and published by OUP Oxford. This book was released on 2002-01-03 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Academic finance has had a remarkable impact on many financial services. Yet long-term investors have received curiously little guidance from academic financial economists. Mean-variance analysis, developed almost fifty years ago, has provided a basic paradigm for portfolio choice. This approach usefully emphasizes the ability of diversification to reduce risk, but it ignores several critically important factors. Most notably, the analysis is static; it assumes that investors care only about risks to wealth one period ahead. However, many investors—-both individuals and institutions such as charitable foundations or universities—-seek to finance a stream of consumption over a long lifetime. In addition, mean-variance analysis treats financial wealth in isolation from income. Long-term investors typically receive a stream of income and use it, along with financial wealth, to support their consumption. At the theoretical level, it is well understood that the solution to a long-term portfolio choice problem can be very different from the solution to a short-term problem. Long-term investors care about intertemporal shocks to investment opportunities and labor income as well as shocks to wealth itself, and they may use financial assets to hedge their intertemporal risks. This should be important in practice because there is a great deal of empirical evidence that investment opportunities—-both interest rates and risk premia on bonds and stocks—-vary through time. Yet this insight has had little influence on investment practice because it is hard to solve for optimal portfolios in intertemporal models. This book seeks to develop the intertemporal approach into an empirical paradigm that can compete with the standard mean-variance analysis. The book shows that long-term inflation-indexed bonds are the riskless asset for long-term investors, it explains the conditions under which stocks are safer assets for long-term than for short-term investors, and it shows how labor income influences portfolio choice. These results shed new light on the rules of thumb used by financial planners. The book explains recent advances in both analytical and numerical methods, and shows how they can be used to understand the portfolio choice problems of long-term investors.

Book TAIL RISK HEDGING  Creating Robust Portfolios for Volatile Markets

Download or read book TAIL RISK HEDGING Creating Robust Portfolios for Volatile Markets written by Vineer Bhansali and published by McGraw Hill Professional. This book was released on 2013-12-27 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: "TAIL RISKS" originate from the failure of mean reversion and the idealized bell curve of asset returns, which assumes that highly probable outcomes occur near the center of the curve and that unlikely occurrences, good and bad, happen rarely, if at all, at either "tail" of the curve. Ever since the global financial crisis, protecting investments against these severe tail events has become a priority for investors and money managers, but it is something Vineer Bhansali and his team at PIMCO have been doing for over a decade. In one of the first comprehensive and rigorous books ever written on tail risk hedging, he lays out a systematic approach to protecting portfolios from, and potentially benefiting from, rare yet severe market outcomes. Tail Risk Hedging is built on the author's practical experience applying macroeconomic forecasting and quantitative modeling techniques across asset markets. Using empirical data and charts, he explains the consequences of diversification failure in tail events and how to manage portfolios when this happens. He provides an easy-to-use, yet rigorous framework for protecting investment portfolios against tail risk and using tail hedging to play offense. Tail Risk Hedging explores how to: Generate profits from volatility and illiquidity during tail-risk events in equity and credit markets Buy attractively priced tail hedges that add value to a portfolio and quantify basis risk Interpret the psychology of investors in option pricing and portfolio construction Customize explicit hedges for retirement investments Hedge risk factors such as duration risk and inflation risk Managing tail risk is today's most significant development in risk management, and this thorough guide helps you access every aspect of it. With the time-tested and mathematically rigorous strategies described here, including pieces of computer code, you get access to insights to help mitigate portfolio losses in significant downturns, create explosive liquidity while unhedged participants are forced to sell, and create more aggressive yet tail-risk-focused portfolios. The book also gives you a unique, higher level view of how tail risk is related to investing in alternatives, and of derivatives such as zerocost collars and variance swaps. Volatility and tail risks are here to stay, and so should your clients' wealth when you use Tail Risk Hedging for managing portfolios. PRAISE FOR TAIL RISK HEDGING: "Managing, mitigating, and even exploiting the risk of bad times are the most important concerns in investments. Bhansali puts tail risk hedging and tail risk management under a microscope--pricing, implementation, and showing how we can fine-tune our risk exposures, which are all crucial ways in how we can better weather our bad times." -- ANDREW ANG, Ann F. Kaplan Professor of Business at Columbia University "This book is critical and accessible reading for fiduciaries, financial consultants and investors interested in both theoretical foundations and practical considerations for how to frame hedging downside risk in portfolios. It is a tremendous resource for anyone involved in asset allocation today." -- CHRISTOPHER C. GECZY, Ph.D., Academic Director, Wharton Wealth Management Initiative and Adj. Associate Professor of Finance, The Wharton School "Bhansali's book demonstrates how tail risk hedging can work, be concretely implemented, and lead to higher returns so that it is possible to have your cake and eat it too! A must read for the savvy investor." -- DIDIER SORNETTE, Professor on the Chair of Entrepreneurial Risks, ETH Zurich