What Does Individual Option Volatility Smirk Tell Us About Future Equity Returns? PDF Download
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Author: Xiaoyan Zhang
Publisher:
ISBN:
Category :
Languages : en
Pages : 38
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Book Description
The shape of the volatility smirk has significant cross-sectional predictive power for future equity returns. Stocks exhibiting the steepest smirks in their traded options underperform stocks with the least pronounced volatility smirks in their options by around 10.9% per year on a risk-adjusted basis. This predictability persists for at least six months, and firms with the steepest volatility smirks are those experiencing the worst earnings shocks in the following quarter. The results are consistent with the notion that informed traders with negative news prefer to trade out-of-the-money put options, and that the equity market is slow in incorporating the information embedded in volatility smirks.
Author: Xiaoyan Zhang
Publisher:
ISBN:
Category :
Languages : en
Pages : 38
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Book Description
The shape of the volatility smirk has significant cross-sectional predictive power for future equity returns. Stocks exhibiting the steepest smirks in their traded options underperform stocks with the least pronounced volatility smirks in their options by around 10.9% per year on a risk-adjusted basis. This predictability persists for at least six months, and firms with the steepest volatility smirks are those experiencing the worst earnings shocks in the following quarter. The results are consistent with the notion that informed traders with negative news prefer to trade out-of-the-money put options, and that the equity market is slow in incorporating the information embedded in volatility smirks.
Author: Marco Klapper
Publisher: Anchor Academic Publishing (aap_verlag)
ISBN: 3954896729
Category : Business & Economics
Languages : en
Pages : 70
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Book Description
This study examines the kind of information ‘informed’ traders have prior to a takeover announcement using options of target firms and elaborates on the cross-sectional relationship between options and stocks around takeover announcements. Financial markets are driven by information and by individuals that generate, process, and disclose this information to the market. Naturally, there have to be individuals who possess more information about a firm or a future event than other market participants. Mergers and acquisitions are particularly interesting events in this regard because they can have significant implications for the firms and stakeholders involved, as well as for the competitive dynamics in the respective market. Because of the large potential price impact of such transactions, traders with private information about a prospective takeover are expected to trade on this information to make a profit. But who are these ‘informed traders’ and what kind of information do they possess? This study tries to give a respond to this question.
Author:
Publisher: ScholarlyEditions
ISBN: 1464966478
Category : Business & Economics
Languages : en
Pages : 402
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Book Description
Issues in Finance, Business, and Economics Research: 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Finance, Business, and Economics Research. The editors have built Issues in Finance, Business, and Economics Research: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Finance, Business, and Economics Research in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Finance, Business, and Economics Research: 2011 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.
Author: Igor Tulchinsky
Publisher: John Wiley & Sons
ISBN: 111957126X
Category : Business & Economics
Languages : en
Pages : 262
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Book Description
Discover the ins and outs of designing predictive trading models Drawing on the expertise of WorldQuant’s global network, this new edition of Finding Alphas: A Quantitative Approach to Building Trading Strategies contains significant changes and updates to the original material, with new and updated data and examples. Nine chapters have been added about alphas – models used to make predictions regarding the prices of financial instruments. The new chapters cover topics including alpha correlation, controlling biases, exchange-traded funds, event-driven investing, index alphas, intraday data in alpha research, intraday trading, machine learning, and the triple axis plan for identifying alphas. • Provides more references to the academic literature • Includes new, high-quality material • Organizes content in a practical and easy-to-follow manner • Adds new alpha examples with formulas and explanations If you’re looking for the latest information on building trading strategies from a quantitative approach, this book has you covered.
Author: Turan G. Bali
Publisher: John Wiley & Sons
ISBN: 1118589661
Category : Business & Economics
Languages : en
Pages : 512
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Book Description
“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.
Author: Bernd Scherer
Publisher: Oxford University Press
ISBN: 0199553432
Category : Business & Economics
Languages : en
Pages : 530
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Book Description
This book explores the current state of the art in quantitative investment management across seven key areas. Chapters by academics and practitioners working in leading investment management organizations bring together major theoretical and practical aspects of the field.
Author: Richard Sipley
Publisher: John Wiley and Sons
ISBN: 0470885432
Category : Business & Economics
Languages : en
Pages : 305
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Book Description
A smart trader needs to know what other traders are thinking and doing. Professional traders and investors use a wide range of indicators—some well-known, some not so well-known—to gauge the state of the market. Market Indicators introduces the many key indicators used by professional traders and investors every day. Having stood the test of time, these indicators will alert the trader to market situations that offer the best chance to trade profitably. Richard Sipley is a portfolio manager for Boston Private Bank and Trust Company, responsible for trading millions of dollars of assets. Sipley uses these indicators every day in his trading and investing, and he draws on that experience to explain what they are, how they work, and how to use them.
Author: Irene Aldridge
Publisher: John Wiley & Sons
ISBN: 1119602971
Category : Computers
Languages : en
Pages : 336
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Book Description
Explains the mathematics, theory, and methods of Big Data as applied to finance and investing Data science has fundamentally changed Wall Street—applied mathematics and software code are increasingly driving finance and investment-decision tools. Big Data Science in Finance examines the mathematics, theory, and practical use of the revolutionary techniques that are transforming the industry. Designed for mathematically-advanced students and discerning financial practitioners alike, this energizing book presents new, cutting-edge content based on world-class research taught in the leading Financial Mathematics and Engineering programs in the world. Marco Avellaneda, a leader in quantitative finance, and quantitative methodology author Irene Aldridge help readers harness the power of Big Data. Comprehensive in scope, this book offers in-depth instruction on how to separate signal from noise, how to deal with missing data values, and how to utilize Big Data techniques in decision-making. Key topics include data clustering, data storage optimization, Big Data dynamics, Monte Carlo methods and their applications in Big Data analysis, and more. This valuable book: Provides a complete account of Big Data that includes proofs, step-by-step applications, and code samples Explains the difference between Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) Covers vital topics in the field in a clear, straightforward manner Compares, contrasts, and discusses Big Data and Small Data Includes Cornell University-tested educational materials such as lesson plans, end-of-chapter questions, and downloadable lecture slides Big Data Science in Finance: Mathematics and Applications is an important, up-to-date resource for students in economics, econometrics, finance, applied mathematics, industrial engineering, and business courses, and for investment managers, quantitative traders, risk and portfolio managers, and other financial practitioners.
Author: Siem Jan Koopman
Publisher: Emerald Group Publishing
ISBN: 1785603523
Category : Business & Economics
Languages : en
Pages : 685
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Book Description
This volume explores dynamic factor model specification, asymptotic and finite-sample behavior of parameter estimators, identification, frequentist and Bayesian estimation of the corresponding state space models, and applications.
Author: Ted Azarmi
Publisher: Springer
ISBN: 3319205889
Category : Business & Economics
Languages : en
Pages : 182
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Book Description
This book brings together a good mix of academics and practitioners for a discussion that focuses on how to change financial practice and the academic field of finance in order to understand the current financial crisis and deal with future turbulent financial times. The volume is based on contributions by prominent academics and practitioners from Europe, Asia and the USA. The book contains several essays, most prominently by Maurizio Murgia, an internationally renowned European corporate finance scholar, and Robert E. Krainer, a senior professor with banking and business cycles research interest from University of Wisconsin-Madison. This book also deals with pedagogical, empirical and theoretical considerations in light of the crisis.
