Fat Tailed And Skewed Asset Return Distributions PDF Download
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Author | : Svetlozar T. Rachev |
Publisher | : John Wiley & Sons |
Total Pages | : 385 |
Release | : 2005-09-15 |
Genre | : Business & Economics |
ISBN | : 0471758906 |
Download Fat-Tailed and Skewed Asset Return Distributions Book in PDF, ePub and Kindle
While mainstream financial theories and applications assume that asset returns are normally distributed, overwhelming empirical evidence shows otherwise. Yet many professionals don’t appreciate the highly statistical models that take this empirical evidence into consideration. Fat-Tailed and Skewed Asset Return Distributions examines this dilemma and offers readers a less technical look at how portfolio selection, risk management, and option pricing modeling should and can be undertaken when the assumption of a non-normal distribution for asset returns is violated. Topics covered in this comprehensive book include an extensive discussion of probability distributions, estimating probability distributions, portfolio selection, alternative risk measures, and much more. Fat-Tailed and Skewed Asset Return Distributions provides a bridge between the highly technical theory of statistical distributional analysis, stochastic processes, and econometrics of financial returns and real-world risk management and investments.
Author | : Nassim Nicholas Taleb |
Publisher | : |
Total Pages | : |
Release | : 2020-06-30 |
Genre | : |
ISBN | : 9781544508054 |
Download Statistical Consequences of Fat Tails Book in PDF, ePub and Kindle
The book investigates the misapplication of conventional statistical techniques to fat tailed distributions and looks for remedies, when possible. Switching from thin tailed to fat tailed distributions requires more than "changing the color of the dress." Traditional asymptotics deal mainly with either n=1 or n=∞, and the real world is in between, under the "laws of the medium numbers"-which vary widely across specific distributions. Both the law of large numbers and the generalized central limit mechanisms operate in highly idiosyncratic ways outside the standard Gaussian or Levy-Stable basins of convergence. A few examples: - The sample mean is rarely in line with the population mean, with effect on "naïve empiricism," but can be sometimes be estimated via parametric methods. - The "empirical distribution" is rarely empirical. - Parameter uncertainty has compounding effects on statistical metrics. - Dimension reduction (principal components) fails. - Inequality estimators (Gini or quantile contributions) are not additive and produce wrong results. - Many "biases" found in psychology become entirely rational under more sophisticated probability distributions. - Most of the failures of financial economics, econometrics, and behavioral economics can be attributed to using the wrong distributions. This book, the first volume of the Technical Incerto, weaves a narrative around published journal articles.
Author | : Robert A. Meyers |
Publisher | : Springer Science & Business Media |
Total Pages | : 919 |
Release | : 2010-11-03 |
Genre | : Business & Economics |
ISBN | : 1441977007 |
Download Complex Systems in Finance and Econometrics Book in PDF, ePub and Kindle
Finance, Econometrics and System Dynamics presents an overview of the concepts and tools for analyzing complex systems in a wide range of fields. The text integrates complexity with deterministic equations and concepts from real world examples, and appeals to a broad audience.
Author | : Andreas Fagereng |
Publisher | : International Monetary Fund |
Total Pages | : 69 |
Release | : 2018-07-27 |
Genre | : Business & Economics |
ISBN | : 1484370066 |
Download Heterogeneity and Persistence in Returns to Wealth Book in PDF, ePub and Kindle
We provide a systematic analysis of the properties of individual returns to wealth using twelve years of population data from Norway’s administrative tax records. We document a number of novel results. First, during our sample period individuals earn markedly different average returns on their financial assets (a standard deviation of 14%) and on their net worth (a standard deviation of 8%). Second, heterogeneity in returns does not arise merely from differences in the allocation of wealth between safe and risky assets: returns are heterogeneous even within asset classes. Third, returns are positively correlated with wealth: moving from the 10th to the 90th percentile of the financial wealth distribution increases the return by 3 percentage points - and by 17 percentage points when the same exercise is performed for the return to net worth. Fourth, wealth returns exhibit substantial persistence over time. We argue that while this persistence partly reflects stable differences in risk exposure and assets scale, it also reflects persistent heterogeneity in sophistication and financial information, as well as entrepreneurial talent. Finally, wealth returns are (mildly) correlated across generations. We discuss the implications of these findings for several strands of the wealth inequality debate.
Author | : Michele Leonardo Bianchi |
Publisher | : World Scientific |
Total Pages | : 598 |
Release | : 2019-03-08 |
Genre | : Business & Economics |
ISBN | : 9813276215 |
Download Handbook Of Heavy-tailed Distributions In Asset Management And Risk Management Book in PDF, ePub and Kindle
The study of heavy-tailed distributions allows researchers to represent phenomena that occasionally exhibit very large deviations from the mean. The dynamics underlying these phenomena is an interesting theoretical subject, but the study of their statistical properties is in itself a very useful endeavor from the point of view of managing assets and controlling risk. In this book, the authors are primarily concerned with the statistical properties of heavy-tailed distributions and with the processes that exhibit jumps. A detailed overview with a Matlab implementation of heavy-tailed models applied in asset management and risk managements is presented. The book is not intended as a theoretical treatise on probability or statistics, but as a tool to understand the main concepts regarding heavy-tailed random variables and processes as applied to real-world applications in finance. Accordingly, the authors review approaches and methodologies whose realization will be useful for developing new methods for forecasting of financial variables where extreme events are not treated as anomalies, but as intrinsic parts of the economic process.
Author | : Jayakrishnan Nair |
Publisher | : Cambridge University Press |
Total Pages | : 266 |
Release | : 2022-06-09 |
Genre | : Mathematics |
ISBN | : 1009062964 |
Download The Fundamentals of Heavy Tails Book in PDF, ePub and Kindle
Heavy tails –extreme events or values more common than expected –emerge everywhere: the economy, natural events, and social and information networks are just a few examples. Yet after decades of progress, they are still treated as mysterious, surprising, and even controversial, primarily because the necessary mathematical models and statistical methods are not widely known. This book, for the first time, provides a rigorous introduction to heavy-tailed distributions accessible to anyone who knows elementary probability. It tackles and tames the zoo of terminology for models and properties, demystifying topics such as the generalized central limit theorem and regular variation. It tracks the natural emergence of heavy-tailed distributions from a wide variety of general processes, building intuition. And it reveals the controversy surrounding heavy tails to be the result of flawed statistics, then equips readers to identify and estimate with confidence. Over 100 exercises complete this engaging package.
Author | : Cheng-Few Lee |
Publisher | : Springer |
Total Pages | : 0 |
Release | : 2014-09-28 |
Genre | : Business & Economics |
ISBN | : 9781461477495 |
Download Handbook of Financial Econometrics and Statistics Book in PDF, ePub and Kindle
The Handbook of Financial Econometrics and Statistics provides, in four volumes and over 100 chapters, a comprehensive overview of the primary methodologies in econometrics and statistics as applied to financial research. Including overviews of key concepts by the editors and in-depth contributions from leading scholars around the world, the Handbook is the definitive resource for both classic and cutting-edge theories, policies, and analytical techniques in the field. Volume 1 (Parts I and II) covers all of the essential theoretical and empirical approaches. Volumes 2, 3, and 4 feature contributed entries that showcase the application of financial econometrics and statistics to such topics as asset pricing, investment and portfolio research, option pricing, mutual funds, and financial accounting research. Throughout, the Handbook offers illustrative case examples and applications, worked equations, and extensive references, and includes both subject and author indices.
Author | : Grzegorz Koronkiewicz |
Publisher | : |
Total Pages | : 11 |
Release | : 2016 |
Genre | : |
ISBN | : |
Download Comparison of the Tails of Market Return Distributions Book in PDF, ePub and Kindle
The aim of this study is to analyze the tails of the distributions of stock market returns and to compare the differences between them. It is a well-established fact that the vast majority of stock market return distributions exhibit fat tails (a bigger probability of extreme outcomes then in the case of the normal probability). Apart from that, there seems to be a popular opinion that most market returns are negatively skewed with a fatter left tail. The study utilizes two methods for comparing the tails of a distribution. A simple approached based on the sample kurtosis, with a modification that allows for the calculation of kurtosis separately for the right and the left tail of a single distribution and a more complex approach based on the maximum likelihood fitting of the Generalized Pareto Distribution to both tales of standardized return distributions. The second approach is based on the assumptions of the Extreme Value Theory (EVT) and the Pickands-Balkema-de Haan theorem. Both approaches provide similar conclusions. Results suggest that whether the left or the right tail of the return distribution is bigger varies from market to market. All four major equity indices of the Polish Warsaw Stock Exchange exhibited a fatter left tale. However, in the whole sample it was actually more common for the right tail to be heavier, with 12 indices out of 20 exhibiting a fatter right tail then the left. The sample kurtosis indicated that all stock market return's distributions were heavy tailed, whereas the estimates of Generalized Pareto Distribution parameters did indicate standard or thin tails in two cases. Statistical tests indicate that the differences between the tails of stock market distributions are not statistically significant.
Author | : CFA Institute |
Publisher | : John Wiley & Sons |
Total Pages | : |
Release | : 2019-08-08 |
Genre | : Business & Economics |
ISBN | : 1119593670 |
Download CFA Program Curriculum 2020 Level III, Volumes 1 - 6 Book in PDF, ePub and Kindle
Apply CFA Program concepts and skills to real-world wealth and portfolio management for the 2019 exam The same official curricula that CFA Program candidates receive with program registration is now publicly available for purchase. CFA Program Curriculum 2020 Level III, Volumes 1-6 provides complete, authoritative guidance on synthesizing the entire CFA Program Candidate Body of Knowledge (CBOK) into professional practice for the 2020 exam. This book helps you bring together the skills and concepts from Levels I and II to formulate a detailed, professional response to a variety of real-world scenarios. Coverage spans all CFA Program topics and provides a rigorous treatment of portfolio management, all organized into individual study sessions with clearly defined Learning Outcome Statements. Visual aids clarify complex concepts, and practice questions allow you to test your understanding while reinforcing major content areas. Levels I and II equipped you with foundational investment tools and complex analysis skill; now, you'll learn how to effectively synthesize that knowledge to facilitate effective portfolio management and wealth planning. This study set helps you convert your understanding into a professional body of knowledge that will benefit your clients' financial futures. Master essential portfolio management and compliance topics Synthesize your understanding into professional guidance Reinforce your grasp of complex analysis and valuation Apply ethical and professional standards in the context of real-world cases CFA Institute promotes the highest standards of ethics, education, and professional excellence among investment professionals. The CFA Program curriculum guides you through the breadth of knowledge required to uphold these standards. The three levels of the program build on each other. Level I provides foundational knowledge and teaches the use of investment tools; Level II focuses on application of concepts and analysis, particularly in the valuation of assets; and Level III builds toward synthesis across topics with an emphasis on portfolio management.
Author | : M. Rasmussen |
Publisher | : Springer |
Total Pages | : 453 |
Release | : 2002-12-13 |
Genre | : Business & Economics |
ISBN | : 0230512852 |
Download Quantitative Portfolio Optimisation, Asset Allocation and Risk Management Book in PDF, ePub and Kindle
Targeted towards institutional asset managers in general and chief investment officers, portfolio managers and risk managers in particular, this practical book serves as a comprehensive guide to quantitative portfolio optimization, asset allocation and risk management. Providing an accessible yet rigorous approach to investment management, it gradually introduces ever more advanced quantitative tools for these areas. Using extensive examples, this book guides the reader from basic return and risk analysis, all the way through to portfolio optimization and risk characterization, and finally on to fully fledged quantitative asset allocation and risk management. It employs such tools as enhanced modern portfolio theory using Monte Carlo simulation and advanced return distribution analysis, analysis of marginal contributions to absolute and active portfolio risk, Value-at-Risk and Extreme Value Theory. All this is performed within the same conceptual, theoretical and empirical framework, providing a self-contained, comprehensive reading experience with a strongly practical aim.