Download or read book Forecasting Volatility in Options Trading Nexus Between Historical Volatility and Implied Volatility written by Shabarisha N. and published by . This book was released on 2016 with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Option Volatility Trading Strategies written by Sheldon Natenberg and published by John Wiley & Sons. This book was released on 2013-03-18 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sheldon Natenberg is one of the most sought after speakers on the topic of option trading and volatility strategies. This book takes Sheldon’s non-technical, carefully crafted presentation style and applies it to a book—one that you’ll study and carry around for years as your personal consultant. Learn about the most vital concepts that define options trading, concepts you’ll need to analyze and trade with confidence. In this volume, Sheldon explains the difference between historical volatility, future volatility, and implied volatility. He provides real inspiration and wisdom gleaned from years of trading experience. Th is book captures the energy of the spoken message direct from the source. Learn about implied volatility and how it is calculated Gain insight into the assumptions driving an options pricing model Master the techniques of comparing price to value Realize the important part that probability plays in estimating option prices

Download or read book A Practical Guide to Forecasting Financial Market Volatility written by Ser-Huang Poon and published by John Wiley & Sons. This book was released on 2005-08-19 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Financial market volatility forecasting is one of today's most important areas of expertise for professionals and academics in investment, option pricing, and financial market regulation. While many books address financial market modelling, no single book is devoted primarily to the exploration of volatility forecasting and the practical use of forecasting models. A Practical Guide to Forecasting Financial Market Volatility provides practical guidance on this vital topic through an in-depth examination of a range of popular forecasting models. Details are provided on proven techniques for building volatility models, with guide-lines for actually using them in forecasting applications.

Download or read book Volatility Forecasts Trading Volume and the Arch Versus Option Implied Volatility Trade Off written by Glen Donaldson and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: We investigate empirically the role of trading volume (1) in predicting the relative informativeness of volatility forecasts produced by autoregressive conditional heteroskedasticity (ARCH) models versus the volatility forecasts derived from option prices, and (2) in improving volatility forecasts produced by ARCH and option models and combinations of models. Daily and monthly data are explored. We find that if trading volume was low during period t-1 relative to the recent past, ARCH is at least as important as options for forecasting future stock market volatility. Conversely, if volume was high during period t-1 relative to the recent past, option-implied volatility is much more important than ARCH for forecasting future volatility. Considering relative trading volume as a proxy for changes in the set of information available to investors, our findings reveal an important switching role for trading volume between a volatility forecast that reflects relatively stale information (the historical ARCH estimate) and the option-implied forward-looking estimate.

Download or read book Volatility Forecasts Trading Volume and the Arch vs Option Implied Volatility Tradeoff written by R. Glen Donaldson and published by . This book was released on 2014 with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt: Market expectations of future return volatility play a crucial role in finance; so too does our understanding of the process by which information is incorporated in security prices through the trading process. This paper seeks to learn something about both of these issues by investigating empirically the role of trading volume (a) in predicting the relative informativeness of volatility forecasts produced by ARCH models versus the volatility forecasts derived from option prices, and (b) in improving volatility forecasts produced by ARCH and option models and combinations of models. We find that if trading volume was low during period t-1 then ARCH is much more important than options for forecasting future stock market volatility. Conversely, if volume was high during period t-1, then option-implied volatility is much more important than ARCH for forecasting future volatility. Our findings reveal an important regime-switching role for trading volume and suggest that option markets may be more efficient in high volume states. Results from various tests also uncover possible sources of volume-related nonlinearity in the relationship between past and future return innovations as captured by asymmetric ARCH models.

Download or read book Option Trading written by Euan Sinclair and published by John Wiley & Sons. This book was released on 2010-06-21 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: An A to Z options trading guide for the new millennium and the new economy Written by professional trader and quantitative analyst Euan Sinclair, Option Trading is a comprehensive guide to this discipline covering everything from historical background, contract types, and market structure to volatility measurement, forecasting, and hedging techniques. This comprehensive guide presents the detail and practical information that professional option traders need, whether they're using options to hedge, manage money, arbitrage, or engage in structured finance deals. It contains information essential to anyone in this field, including option pricing and price forecasting, the Greeks, implied volatility, volatility measurement and forecasting, and specific option strategies. Explains how to break down a typical position, and repair positions Other titles by Sinclair: Volatility Trading Addresses the various concerns of the professional options trader Option trading will continue to be an important part of the financial landscape. This book will show you how to make the most of these profitable products, no matter what the market does.

Download or read book Volatility Trading website written by Euan Sinclair and published by John Wiley & Sons. This book was released on 2008-06-23 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Volatility Surface and Term Structure written by Kin Keung Lai and published by Routledge. This book was released on 2013-09-11 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides different financial models based on options to predict underlying asset price and design the risk hedging strategies. Authors of the book have made theoretical innovation to these models to enable the models to be applicable to real market. The book also introduces risk management and hedging strategies based on different criterions. These strategies provide practical guide for real option trading. This book studies the classical stochastic volatility and deterministic volatility models. For the former, the classical Heston model is integrated with volatility term structure. The correlation of Heston model is considered to be variable. For the latter, the local volatility model is improved from experience of financial practice. The improved local volatility surface is then used for price forecasting. VaR and CVaR are employed as standard criterions for risk management. The options trading strategies are also designed combining different types of options and they have been proven to be profitable in real market. This book is a combination of theory and practice. Users will find the applications of these financial models in real market to be effective and efficient.

Download or read book Forecasting Volatility written by Stephen Figlewski and published by . This book was released on 1997 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Forecasting Volatility in the Financial Markets written by John Knight and published by Butterworth-Heinemann. This book was released on 1998 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: An aid to understanding the significance of volatility in the financial market, this text details modelling/forecasting techniques and uses a technical survey to define the models of volatility and return and explain the ways to measure risk. Applications in the financial markets are then detailed.

Download or read book The Relationship between Implied and Realized Volatility in the Danish Option and Equity Markets written by Charlotte Strunk Hansen and published by . This book was released on 2002 with total page 21 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper we examine the information content of options on the Danish KFX share index. These options are traded very infrequently and with a low volume. We consider the relationship between the volatility implied in an option's price and the subsequently realized volatility. Recently, Christensen and Prabhala (1998) find that implied volatility in at-the-money one month OEX call options on the Samp;P100 index is an unbiased and efficient forecast of ex-post realized index volatility after the 1987 stock market crash. Gwilym and Buckle (1999) study the UK FTSE100 index and find that although historical volatility estimates have greater accuracy, implied volatility contains more information, based on regression tests, in particular when very short maturities are avoided. In this paper we investigate whether the UK and US markets are special, and whether the infrequent trading and low volume in the KFX case lead to bias and inefficiency in the implied volatility forecast. We examine one month at-the-money KFX calls and similar puts, and we introduce an implied volatility measure that combines information from both call and put prices. We find that implied volatility indeed contains information about realized index return volatility. In fact, implied volatility remains significant even in the multiple regression where historical volatility is included, it subsumes the information content of this, and the bias in the implied volatility forecast is insignificant. The results suggest that the finding in the OEX market may be extended to the much smaller KFX market.

Download or read book Volatility Forecasts and the At the Money Implied Volatility written by Gilles O. Zumbach and published by . This book was released on 2008 with total page 21 pages. Available in PDF, EPUB and Kindle. Book excerpt: For a given time horizon $ DT$, this article explores the relationship between the realized volatility (the volatility that will occur between $t$ and $t DT$), the implied volatility (corresponding to at-the-money option with expiry at $t DT$), and several forecasts for the volatility build from multi-scales linear ARCH processes. The forecasts are derived from the process equations, and the parameters set { it a priori}. An empirical analysis across multiple time horizons $ DT$ shows that a forecast provided by an I-GARCH(1) process (1 time scale) does not capture correctly the dynamic of the realized volatility. An I-GARCH(2) process (2 time scales, similar to GARCH(1,1)) is better, while a long memory LM-ARCH process (multiple time scales) replicates correctly the dynamic of the realized volatility and delivers consistently good forecast for the implied volatility. The relationship between market models for the forward variance and the volatility forecasts provided by ARCH processes is investigated. The structure of the forecast equations is identical, but with different coefficients. Yet the process equations for the variance are very different (postulated for a market model, induced by the process equations for an ARCH model), and not of any usual diffusive type when derived from ARCH.

Download or read book Trading Options in Turbulent Markets written by Larry Shover and published by John Wiley & Sons. This book was released on 2012-12-26 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Top options expert Larry Shover returns to discuss how to interpret, and profit from, market volatility Trading Options in Turbulent Markets, Second Edition skillfully explains the intricacies of options volatility and shows you how to use options to cope, and profit from, market turbulence. Throughout this new edition, options expert Larry Shover reveals how to use historical volatility to predict future volatility for a security and addresses how you can utilize that knowledge to make better trading decisions. Along the way, he also defines the so-called Greeks—delta, vega, theta, and gamma—and explains what drives their values and their relationship to historic and implied volatility. Shover then provides effective strategies for trading options contracts in uncertain times, addressing the decision-making process and how to trade objectively in the face of unpredictable and irrational market moves. Includes a new chapter of the VIX, more advanced material on volatility suitable for institutional or intermediate options trader, and additional volatility-based strategies Answers complex questions such as: How does a trader know when to tolerate risk and How does a successful trader respond to adversity? Provides a different perspective on a variety of options strategies, including covered calls, naked and married puts, collars, straddles, vertical spreads, calendar spreads, butterflies, condors, and more As volatility becomes a greater focus of traders and investors, Trading Options in Turbulent Markets, Second Edition will become an important resource for in-depth insights, practical advice, and profitable strategies.

Download or read book The Economic Value of Using Realized Volatility in Forecasting Future Implied Volatility written by Wing H. Chan and published by . This book was released on 2008 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt: We examine the economic benefits of using realized volatility to forecast future implied volatility for pricing, trading, and hedging in the Samp;P 500 index options market. We propose an encompassing regression approach to forecast future implied volatility and hence future option prices by combining historical realized volatility and current implied volatility. An analysis of delta-neutral straddles and naked and delta-hedged option positions shows that the statistical superiority of historical realized volatility demonstrated in the encompassing regressions and option pricing errors does not translate into economic gains, when trading and hedging in the options markets, after considering trading costs.

Download or read book Options Markets written by John C. Cox and published by Prentice Hall. This book was released on 1985 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: Includes the first published detailed description of option exchange operations, the first published treatment using only elementary mathematics and the first step-by-step procedure for implementing the Black-Scholes formula in actual trading.

Download or read book Exploiting Earnings Volatility written by Brian Johnson and published by . This book was released on 2015-04-08 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploiting Earnings Volatility introduces an innovative new framework for evaluating, optimizing, and trading option strategies to profit from earnings-related pricing anomalies. Leveraging his extensive background in option-pricing and decades of experience in investment management and trading, Brian Johnson developed this inventive approach specifically to design and manage option earnings strategies. In an Active Trader article titled "Modeling Implied Volatility," Mr. Johnson introduced a formula for aggregating discrete volatility measures into a single metric that can be used with conventional option pricing formulas to accurately model implied volatility before and after earnings announcements. The practical application of this formula has profound implications for option trading and strategy development. Exploiting Earnings Volatility is written in a clear, understandable fashion and explains how to use this novel approach to 1) solve for the expected level of earnings volatility implicitly priced in an option matrix, 2) calculate historical levels of realized and implied earnings volatility, 3) develop strategies to exploit divergences between the two, and 4) calculate expected future levels of implied volatility before and after earnings announcements. Furthermore, Exploiting Earnings Volatility also includes two Excel spreadsheets. The Basic spreadsheet employs minimal input data to estimate current and historical earnings volatility and utilizes those estimates to forecast future levels of implied volatility around earnings announcements. The Integrated spreadsheet includes a comprehensive volatility model that simultaneously integrates and quantifies every component of real-world implied volatility, including earnings volatility. This powerful tool allows the user to identify the precise level of over or undervaluation of every option in the matrix and to accurately forecast future option prices and option strategy profits and losses before and after earnings announcements. The Integrated spreadsheet even includes an optimization tool designed to identify the option strategy with the highest level of return per unit of risk. Written specifically for investors who have familiarity with options, this practical guide begins with a detailed review of volatility and an explanation of the aggregate implied volatility formula. A separate chapter provides a conceptual and mathematical explanation of "True Greeks," accurate measures of risk and return sensitivity that reflect the real-world behavior of options. New option Greeks that are specific to earnings announcements are also introduced. Four chapters explain how to use the Basic and Integrated spreadsheets and two chapters document trade examples that use actual market data and analytical results from both spreadsheets to design a unique option strategy to exploit earnings-related pricing and volatility anomalies. The final chapter examines practical considerations and prospective applications of these innovative new tools. This book introduces a new analytical framework that may sound complicated at first, but is really quite intuitive. The formulas presented in the book are limited to basic high-school algebra. Mathematical relationships are also explained intuitively and depicted graphically. Most important, you will not need to perform any of these calculations manually. Exploiting Earnings Volatility includes a link to Excel spreadsheets that perform all of the calculations described in the book. The unique price and volatility behavior of options before and after discrete earnings announcements is an enigma to most option traders, even to many professionals. The aggregate volatility formula is relatively simple, but it has profound implications. When integrated with a real-world volatility model, it offers unique insights into earnings volatility, price behavior, option strategy construction, and prospective value-added opportunities.

Download or read book Option Volatility Pricing Advanced Trading Strategies and Techniques written by Sheldon Natenberg and published by McGraw Hill Professional. This book was released on 1994-08 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a thorough discussion of volatility, the most important aspect of options trading. Shows how to identify mispriced options and to construct volatility and "delta neutral" spreads.