In Volatility Trading, Sinclair offers you a quantitative model for measuring volatility in order to gain an edge in your everyday option trading endeavors. With an accessible, straightforward approach. He guides traders through the basics of option pricing, volatility measurement, hedging, money management, and trade evaluation. In addition, Sinclair explains the often-overlooked psychological aspects of trading, revealing both how behavioral psychology can create market conditions traders can take advantage of-and how it can lead them astray. Psychological biases, he asserts, are probably the drivers behind most sources of edge available to a volatility trader. Your goal, Sinclair explains, must be clearly defined and easily expressed-if you cannot explain it in one sentence, you probably aren't completely clear about what it is. The same applies to your statistical edge. If you do not know exactly what your edge is, you shouldn't trade. He shows how, in addition to the numerical evaluation of a potential trade, you should be able to identify and evaluate the reason why implied volatility is priced where it is, that is, why an edge exists. This means it is also necessary to be on top of recent news stories, sector trends, and behavioral psychology. Finally, Sinclair underscores why trades need to be sized correctly, which means that each trade is evaluated according to its projected return and risk in the overall context of your goals. As the author concludes, while we also need to pay attention to seemingly mundane things like having good execution software, a comfortable office, and getting enough sleep, it is knowledge that is the ultimate source of edge. So, all else being equal, the trader with the greater knowledge will be the more successful. This book, and its companion CD-ROM, will provide that knowledge. The CD-ROM includes spreadsheets designed to help you forecast volatility and evaluate trades together with simulation engines.

Up-to-Date Research Sheds New Light on This Area Taking into account the ongoing worldwide financial crisis, Stock Market Volatility provides insight to better understand volatility in various stock markets. This timely volume is one of the first to draw on a range of international authorities who offer their expertise on market volatility in devel

Market Volatility proposes an innovative theory, backed by substantial statistical evidence, on the causes of price fluctuations in speculative markets. It challenges the standard efficient markets model for explaining asset prices by emphasizing the significant role that popular opinion or psychology can play in price volatility. Why does the stock market crash from time to time? Why does real estate go in and out of booms? Why do long term borrowing rates suddenly make surprising shifts? Market Volatility represents a culmination of Shiller's research on these questions over the last dozen years. It contains reprints of major papers with new interpretive material for those unfamiliar with the issues, new papers, new surveys of relevant literature, responses to critics, data sets, and reframing of basic conclusions. Included is work authored jointly with John Y. Campbell, Karl E. Case, Sanford J. Grossman, and Jeremy J. Siegel. Market Volatility sets out basic issues relevant to all markets in which prices make movements for speculative reasons and offers detailed analyses of the stock market, the bond market, and the real estate market. It pursues the relations of these speculative prices and extends the analysis of speculative markets to macroeconomic activity in general. In studies of the October 1987 stock market crash and boom and post-boom housing markets, Market Volatility reports on research directly aimed at collecting information about popular models and interpreting the consequences of belief in those models. Shiller asserts that popular models cause people to react incorrectly to economic data and believes that changing popular models themselves contribute significantly to price movements bearing no relation to fundamental shocks.

"The conference was organized by the three editors of this book and took place on August 15-16, 2012 in Seattle."--Preface.

A comprehensive guide that lets you play the options game with confidence Due to the uncontrollable elements associated with options, many traders find themselves without practical strategies for specific situations. The Option Trader's Guide to Probability, Volatility, and Timing offers traders a variety of strategies to trade options intelligently and confidently in any given situation. With detail and objectivity, this book sets forth risk assessment guidelines, explains risk curve analysis, discusses exit methods, and uncovers some of the biggest mistakes options traders make. The Option Trader's Guide provides readers with strategies for trading options as well as expert advice on when to implement those strategies.

A simple, straightforward guide to the fundamentals of technical analysis Technical analysis is a collection of techniques designed to help people make trading decisions. Technical Analysis For Dummies, 2nd Edition explains the basic principles and shows you how to apply these principles in an approachable and non-intimidating way. Since the publication of the first edition of Technical Analysis For Dummies, readers have been faced with many changes to the investment landscape, such as new interest rates, looming bank crises, and adjusting market climates. This updated edition includes information on the new indicators, hands-on applications for real-world situations, as well as practical examples that reflect today's financial atmosphere. Determine how markets are performing and make decisions using real data Spot investment trends and turning points Improve your profits and your portfolio performance With straightforward coverage of concepts and execution, Technical Analysis For Dummies shows you how to make better trading decisions in no time.

This book provides fresh insights into concepts, methods and new research findings on the causes of excessive food price volatility. It also discusses the implications for food security and policy responses to mitigate excessive volatility. The approaches applied by the contributors range from on-the-ground surveys, to panel econometrics and innovative high-frequency time series analysis as well as computational economics methods. It offers policy analysts and decision-makers guidance on dealing with extreme volatility.