Download or read book Option based Measures of Co skewness and Co kurtosis Risk written by Zhibin Wang and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Option Based Estimation of the Price of Co Skewness and Co Kurtosis Risk written by Peter Christoffersen and published by . This book was released on 2017 with total page 51 pages. Available in PDF, EPUB and Kindle. Book excerpt: We show that the prices of risk for factors that are nonlinear in the market return are readily obtained using index option prices. The price of co-skewness risk corresponds to the market variance risk premium, and the price of co-kurtosis risk corresponds to the market skewness risk premium. Option-based estimates of the prices of risk lead to reasonable values of the associated risk premia. An out-of-sample analysis of factor models with co-skewness and co-kurtosis risk indicates that the new estimates of the price of risk improve the models' performance compared to regression-based estimates.

Download or read book Option based Estimation of the Price of Co skewness and Co kurtosis Risk written by 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 Risk and Performance Evaluation with Skewness and Kurtosis for Conventional and Alternative Investments written by Zsolt Endre Berényi and published by Peter Lang Publishing. This book was released on 2003 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The evaluation of investments offering non-normal return profiles like option portfolios or alternative investments is a challenging task since traditional measures like the mean-variance ones often produce inconsistent results or can be subject to manipulation. This thesis investigates the role of skewness and kurtosis in evaluating conventional and alternative investments. From the background that investors trade not only mean and variance but also higher moments, the author proposes a higher moment-based distributional risk measure, termed as the variance-equivalent risk measure, and develops a series of moment-based performance measures. Comparing these measures with conventional measures like the Sharpe Ratio, empirical testing shows that for investments with high non-normality of returns, the higher moment-based performance measures offer a significant enhancement in the performance evaluation.

Download or read book Option Implied Volatility Skewness and Kurtosis and the Cross Section of Expected Stock Returns written by Turan G. Bali and published by . This book was released on 2019 with total page 67 pages. Available in PDF, EPUB and Kindle. Book excerpt: We develop an ex-ante measure of expected stock returns based on analyst price targets. We then show that ex-ante measures of volatility, skewness, and kurtosis implied from stock option prices are positively related to the cross section of ex-ante expected stock returns. While expected returns are related to both the systematic and unsystematic components of volatility, only the unsystematic components of skewness and kurtosis are related to the cross section of expected stock returns after controlling for other variables known to be related to the cross section of expected stock returns or analyst forecast bias.

Download or read book Three Essays on Option implied Risk Measures and Equity Pricing written by Bo-Young Chang 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 Dispersion of Option implied Risk Measures written by Iwan Lottenbach and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The thesis at hand investigates the risk and predictive value of dispersions computed over option-implied risk measures of individual stocks. The option-implied risk measure calculation rests upon the risk-neutral arbitrage pricing theory and does not assume an underlying pricing model such as Black & Scholes (1973). The analysis relies on a large individual stock and option data panel based on the S&P 500 equity index with observations from January 2000 to December 2012. While Fama & McBeth (1973) regressions - based on 16 risk-neural volatility and skewness ranked portfolios - reveal no statistically significant risk premium for dispersions of option-implied risk measures, the latter factors have a remarkable predictive power for S&P 500 index returns in three months. A mean normalized standard deviation dispersion of risk-neutral volatility (skewness) thereby induces a monthly index return of approximately 13% (3%) in three month. The adjusted R2 of approximately 2% is, furthermore, a considerably good result for a predictive return model. The thesis at hand on dispersion of option-implied risk measures motivates some further research in this field, as the potential of forecasting index returns has gained confidence.

Download or read book Forward Looking Measures of Higher Order Dependencies with an Application to Portfolio Selection written by Felix Brinkmann and published by . This book was released on 2016 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper provides implied measures of higher-order dependencies between assets. The measures exploit only forward-looking information from the options market and can be used to construct an implied estimator of the covariance, co-skewness, and co-kurtosis matrices of asset returns. We show that higher-order dependencies vary heavily over time and identify the economic factors driving them. Furthermore, we run a portfolio selection exercise and show that investors can benefit from using the new estimator. They obtain a better risk-adjusted out-of-sample performance by up to 14% per year compared to when they use various historical and partially implied benchmark estimators.

Download or read book Multi moment Asset Allocation and Pricing Models written by Emmanuel Jurczenko and published by John Wiley & Sons. This book was released on 2006-10-02 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: While mainstream financial theories and applications assume that asset returns are normally distributed and individual preferences are quadratic, the overwhelming empirical evidence shows otherwise. Indeed, most of the asset returns exhibit “fat-tails” distributions and investors exhibit asymmetric preferences. These empirical findings lead to the development of a new area of research dedicated to the introduction of higher order moments in portfolio theory and asset pricing models. Multi-moment asset pricing is a revolutionary new way of modeling time series in finance which allows various degrees of long-term memory to be generated. It allows risk and prices of risk to vary through time enabling the accurate valuation of long-lived assets. This book presents the state-of-the art in multi-moment asset allocation and pricing models and provides many new developments in a single volume, collecting in a unified framework theoretical results and applications previously scattered throughout the financial literature. The topics covered in this comprehensive volume include: four-moment individual risk preferences, mathematics of the multi-moment efficient frontier, coherent asymmetric risks measures, hedge funds asset allocation under higher moments, time-varying specifications of (co)moments and multi-moment asset pricing models with homogeneous and heterogeneous agents. Written by leading academics, Multi-moment Asset Allocation and Pricing Models offers a unique opportunity to explore the latest findings in this new field of research.

Download or read book Essays on Currency Risks and Returns written by Jingyi Ren and published by . This book was released on 2019 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapter 11 proposes using foreign exchange rate currency options with different strike prices and maturities to capture both currency risks and expectations, for helping understand currency return dynamics. We show that currency returns, which are notoriously difficult to model empirically, are well-explained by the term structures of forward premia and options-based measures of FX expectations and risk. Although this finding is to be expected, expectations and risk have been largely ignored in empirical exchange-rate modeling. Using daily options data for six major currency pairs, we first show that currency options-implied standard deviation, skewness, and kurtosis consistently improve the explanatory power of quarterly currency returns than a standardized UIP regression. We then show that adding term structure information of options-implied moments further improves the explanatory power. Our results highlight the importance of expectations and risk in explaining currency returns and suggest that this information may be particularly useful during a crisis period. Chapter 2 studies the term structure of currency risk using FX options data, and finds it able to explain the cross-sectional variation of currency excess returns. With the tool of a new FX risk index, "FCX", I look into currency risk term structure and measure its shape by level and slope. I consistently find that for currencies paired by US dollars, the term structure of currency risk is flat at a low level prior to the 2008 crisis, upward-sloping after the crisis and peaks at a high level with a prominently negative slope during the crisis. This work is believed to be new in the currency research field. I then use this information to build trading strategies, earning a profit by longing currencies with the highest level or slope and shorting ones with the lowest level or slope. The profit by sorting slope is significantly high and robust to the 2008 crisis period, with a low correlation to the Carry Trade return, suggesting extra information in risk than the interest rate. Next, I extract global risk factors by level and slope to help understand the currency excess return, a long-lasting puzzle. The global risk factor by level substantially improves the cross-sectional explanatory power in currency excess returns compared to Lustig et al. (2011). Furthermore, I show that there is certain high risk corresponding to a high level and low slope, and high interest rate currency earns returns co-varying negatively to this risk, implying that it is a risky asset and thus requires a high risk premium, which explains the Carry Trade return well. Chapter 32 explores the possible macroeconomic connection in currency markets through the channel of FX risk term structure. There is a consensus in the literature that exchange rates are empirically “disconnected” from fundamentals, but a possible theoretical insight is that macroeconomic volatility shocks induce time-varying risks in the exchange rates. This chapter empirically investigates the connection between macroeconomic fundamentals and time-varying currency risks captured by the FX risk term structure, following the main findings of chapters 1 and 2. This chapter use both a small dataset of directly observable, country-specific key macroeconomic and international variables implied by exchange rate structural modeling and a small number of macroeconomic factors constructed from a large dataset of 126 U.S. macroeconomic series by principal component analysis. We perform a VAR analysis to examine impulse responses of FX risk term structure to the shocks of macroeconomic events and find that production variables can generate a relatively consistent and systematic impact pattern, which suggests potential macroeconomic connection. We also perform a direct single regression, regressing the 126 macroeconomic series of eight different groups on the FX risk term structure and apply the group LASSO technique for variable selection. Variables among both macroeconomic fundamentals and financial series are commonly selected, which suggests that financial markets’ co-movements also exist besides potential macroeconomic connection.

Download or read book Contemporary Trends and Challenges in Finance written by Krzysztof Jajuga and published by Springer Nature. This book was released on 2020-05-06 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume features a selection of contributions presented at the 2019 Wroclaw Conference in Finance, covering a wide range of topics in finance and financial economics, e.g. financial markets; monetary policy; corporate, personal and public finance; and risk management and insurance. Reflecting the diversity and richness of research in the field, the papers discuss both fundamental and applied finance, and offer a detailed analysis of current financial-market problems, including specifics of the Polish and Central European markets. They also examine the results of advanced financial modeling. Accordingly, the proceedings offer a valuable resource for researchers at universities and policy institutions, as well as graduate students and practitioners in economics and finance at both private and government organizations.

Download or read book Postmodern Portfolio Theory written by James Ming Chen and published by Springer. This book was released on 2016-07-26 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: This survey of portfolio theory, from its modern origins through more sophisticated, “postmodern” incarnations, evaluates portfolio risk according to the first four moments of any statistical distribution: mean, variance, skewness, and excess kurtosis. In pursuit of financial models that more accurately describe abnormal markets and investor psychology, this book bifurcates beta on either side of mean returns. It then evaluates this traditional risk measure according to its relative volatility and correlation components. After specifying a four-moment capital asset pricing model, this book devotes special attention to measures of market risk in global banking regulation. Despite the deficiencies of modern portfolio theory, contemporary finance continues to rest on mean-variance optimization and the two-moment capital asset pricing model. The term postmodern portfolio theory captures many of the advances in financial learning since the original articulation of modern portfolio theory. A comprehensive approach to financial risk management must address all aspects of portfolio theory, from the beautiful symmetries of modern portfolio theory to the disturbing behavioral insights and the vastly expanded mathematical arsenal of the postmodern critique. Mastery of postmodern portfolio theory’s quantitative tools and behavioral insights holds the key to the efficient frontier of risk management.

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.

Download or read book Multiple Criteria Decision Making in Finance Insurance and Investment written by Minwir Al-Shammari and published by Springer. This book was released on 2015-10-07 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is devoted to recent developments and applications of multiple criteria decision aid tools in the field of finance, insurance and investment. It illustrates recent methods and procedures designed to solve problems related to finance, insurance and portfolio selection formulated through a mathematical programming framework and for which a large number of conflicting and incommensurable objectives (criteria, attributes) is simultaneously optimized. The book introduces researchers and practitioners to recent theoretical and methodological developments in multi-attributes portfolio selection, multiple criteria analysis in finance, insurance and investment. It is based on selected and invited papers presented and discussed at the 2013 International Conference on Multidimensional Finance, Insurance and Investment (ICMFII’13), held at the College of Business Administration at the University of Bahrain from 25th to 27th November 2013 with the co-sponsorship of the International Society on Multiple Criteria Decision Making and the Institute for Operations Research and the Management Sciences - MCDM section.

Download or read book Options Theory and Trading written by Ron Ianieri and published by John Wiley & Sons. This book was released on 2009-07-07 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: When used correctly, options can greatly enhance your profits. The leverage they provide allows small accounts to trade like big ones, without the normally associated risks. And, in times of financial turmoil, options can keep you from incurring catastrophic losses. There are many ways in which options can both protect your portfolio and help you profit—but in order to take advantage of these opportunities, you have to learn how to properly use options in your investment endeavors. As the cofounder and former chief options strategist for the Options University, and now as founder of ION Options, author Ron Ianieri is one of the most well-respected, and well-informed, individuals in this field. Over the course of his successful twenty-plus-year career in the options market, he has trained many professional traders, as well as numerous active investors. Now, with Options Theory and Trading, he shares his extensive experience with you. Based on a proven option-trading course created by Ianieri, which follows a logical step-by-step progression, this book opens with an in-depth explanation of option terms and theory in Part One—because learning the language and understanding the theory is the foundation upon which successful option strategies are built. Continuing along these lines, Ianieri takes the time to explore the unique risks and rewards of call and put options, and introduces you to the option pricing model, the "Greeks," and synthetic positions. In Part Two, Ianieri moves on to basic trading strategies involving stock and options, including the covered call/buy-write strategy, the covered put/sell-write strategy, the protective put strategy, the synthetic put/protective call strategy, and lastly, the collar strategy. In addition to this, you'll also discover the role of the "lean" in options trading and how to "roll" your position to establish a stream of income. While Ianieri demonstrates how well options function in unison with a stock position—enhancing potential gains, providing profit protection, and limiting the risk of the entire investment—he also examines how they can be even more effective when traded against each other. In Part Three, you'll gain an in-depth understanding of how to use vertical, diagonal, and time spreads in this way, and discover how straddles and strangles—which both feature the use of options in unison with one other—can help you achieve strong premium collection. Rounding out this detailed discussion of options is a close look at combination strategies. Part Four of Options Theory and Trading takes you through fully hedged strategies known as the Butterfly and the Condor, and offers practical advice on how and when to use them. In an environment of increasing volatility, there's great risk of market corrections endangering the capital of individual investors around the world. What you need to achieve long-term success in today's market is the right guidance. With Options Theory and Trading, you'll quickly discover how to use options to increase your portfolio's profit potential and reduce the risks you'll inevitably face.

Download or read book Empirical Asset Pricing written by Turan G. Bali and published by John Wiley & Sons. This book was released on 2016-02-26 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Bali, Engle, and Murray have produced a highly accessible introduction to the techniques and evidence of modern empirical asset pricing. This book should be read and absorbed by every serious student of the field, academic and professional.” Eugene Fama, Robert R. McCormick Distinguished Service Professor of Finance, University of Chicago and 2013 Nobel Laureate in Economic Sciences “The empirical analysis of the cross-section of stock returns is a monumental achievement of half a century of finance research. Both the established facts and the methods used to discover them have subtle complexities that can mislead casual observers and novice researchers. Bali, Engle, and Murray’s clear and careful guide to these issues provides a firm foundation for future discoveries.” John Campbell, Morton L. and Carole S. Olshan Professor of Economics, Harvard University “Bali, Engle, and Murray provide clear and accessible descriptions of many of the most important empirical techniques and results in asset pricing.” Kenneth R. French, Roth Family Distinguished Professor of Finance, Tuck School of Business, Dartmouth College “This exciting new book presents a thorough review of what we know about the cross-section of stock returns. Given its comprehensive nature, systematic approach, and easy-to-understand language, the book is a valuable resource for any introductory PhD class in empirical asset pricing.” Lubos Pastor, Charles P. McQuaid Professor of Finance, University of Chicago Empirical Asset Pricing: The Cross Section of Stock Returns is a comprehensive overview of the most important findings of empirical asset pricing research. The book begins with thorough expositions of the most prevalent econometric techniques with in-depth discussions of the implementation and interpretation of results illustrated through detailed examples. The second half of the book applies these techniques to demonstrate the most salient patterns observed in stock returns. The phenomena documented form the basis for a range of investment strategies as well as the foundations of contemporary empirical asset pricing research. Empirical Asset Pricing: The Cross Section of Stock Returns also includes: Discussions on the driving forces behind the patterns observed in the stock market An extensive set of results that serve as a reference for practitioners and academics alike Numerous references to both contemporary and foundational research articles Empirical Asset Pricing: The Cross Section of Stock Returns is an ideal textbook for graduate-level courses in asset pricing and portfolio management. The book is also an indispensable reference for researchers and practitioners in finance and economics. Turan G. Bali, PhD, is the Robert Parker Chair Professor of Finance in the McDonough School of Business at Georgetown University. The recipient of the 2014 Jack Treynor prize, he is the coauthor of Mathematical Methods for Finance: Tools for Asset and Risk Management, also published by Wiley. Robert F. Engle, PhD, is the Michael Armellino Professor of Finance in the Stern School of Business at New York University. He is the 2003 Nobel Laureate in Economic Sciences, Director of the New York University Stern Volatility Institute, and co-founding President of the Society for Financial Econometrics. Scott Murray, PhD, is an Assistant Professor in the Department of Finance in the J. Mack Robinson College of Business at Georgia State University. He is the recipient of the 2014 Jack Treynor prize.

Download or read book Extreme Events written by Malcolm Kemp and published by John Wiley & Sons. This book was released on 2011-10-04 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Taking due account of extreme events when constructing portfolios of assets or liabilities is a key discipline for market professionals. Extreme events are a fact of life in how markets operate. In Extreme Events: Robust Portfolio Construction in the Presence of Fat Tails, leading expert Malcolm Kemp shows readers how to analyse market data to uncover fat-tailed behaviour, how to incorporate expert judgement in the handling of such information, and how to refine portfolio construction methodologies to make portfolios less vulnerable to extreme events or to benefit more from them. This is the only text that combines a comprehensive treatment of modern risk budgeting and portfolio construction techniques with the specific refinements needed for them to handle extreme events. It explains in a logical sequence what constitutes fat-tailed behaviour and why it arises, how we can analyse such behaviour, at aggregate, sector or instrument level, and how we can then take advantage of this analysis. Along the way, it provides a rigorous, comprehensive and clear development of traditional portfolio construction methodologies applicable if fat-tails are absent. It then explains how to refine these methodologies to accommodate real world behaviour. Throughout, the book highlights the importance of expert opinion, showing that even the most data-centric portfolio construction approaches ultimately depend on practitioner assumptions about how the world might behave. The book includes: Key concepts and methods involved in analysing extreme events A comprehensive treatment of mean-variance investing, Bayesian methods, market consistent approaches, risk budgeting, and their application to manager and instrument selection A systematic development of the refinements needed to traditional portfolio construction methodologies to cater for fat-tailed behaviour Latest developments in stress testing and back testing methodologies A strong focus on the practical implementation challenges that can arise at each step in the process and on how to overcome these challenges “Understanding how to model and analyse the risk of extreme events is a crucial part of the risk management process. This book provides a set of techniques that allow practitioners to do this comprehensively.” Paul Sweeting, Professor of Actuarial Science, University of Kent “How can the likeliness of crises affect the construction of portfolios? This question is highly topical in times where we still have to digest the last financial collapse. Malcolm Kemp gives the answer. His book is highly recommended to experts as well as to students in the financial field.” Christoph Krischanitz, President Actuarial Association of Austria, Chairman WG “Market Consistency” of Groupe Consultatif