Author: Michael C. Khouw
Publisher: John Wiley & Sons
ISBN: 1119212448
Category : Business & Economics
Languages : en
Pages : 350
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Book Description
Capture the fortune you're losing with every trade by learning to exploit options The Options Edge + Free Trial shows you how to capture the fortune you lose out on every day. Buying and selling traditional investments often entails instruments with optionality. Sometimes this optionality is explicit, while other times it is hidden. If you're not leveraging these embedded options to their fullest advantage, you're losing money. Most retail investors don't truly understand the nuances involved in successful options trading and instead rely on more comfortable instruments with fewer complex mechanics. If you're interested in optimizing your portfolio, it's time to step out of your comfort zone and learn what you've been missing. This book gives you the background you need to take full advantage of options in this booming market. The companion website features easy to use analytical tools that help investors find the best opportunities so you can start applying these methods right away. Whether or not you ultimately decide to start actively trading options, the concepts discussed will make you a better all-around trader with greater security in your financial affairs. Most investors buy and sell options every day without ever knowing it. This book relates stories of those who have leveraged options to make fortunes and those who have lost by not understanding the optionality of their financial endeavors. You must know the fundamentals of options, and then learn to recognize hidden options, in order to improve success in all of your investment activities. After taking these steps, you can go on to: Create hidden options at little or no cost Structure your finances to reduce risk and increase wealth Utilize a practical pricing model for smarter investing The listed options are currently the only growing exchange traded financial product in the developed markets, with a current average volume of 20 million contracts—equivalent to 2 billion shares—per day. Now is the perfect opportunity to fortify your finances, and The Options Edge + Free Trial gives you the understanding and practical tools you need to optimize your portfolio today.
Author: Stephen Satchell
Publisher: Elsevier
ISBN: 0080494978
Category : Business & Economics
Languages : en
Pages : 417
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Book Description
'Forecasting Volatility in the Financial Markets' assumes that the reader has a firm grounding in the key principles and methods of understanding volatility measurement and builds on that knowledge to detail cutting edge modelling and forecasting techniques. It then uses a technical survey to explain the different ways to measure risk and define the different models of volatility and return.The editors have brought together a set of contributors that give the reader a firm grounding in relevant theory and research and an insight into the cutting edge techniques applied in this field of the financial markets.This book is of particular relevance to anyone who wants to understand dynamic areas of the financial markets.* Traders will profit by learning to arbitrage opportunities and modify their strategies to account for volatility.* Investment managers will be able to enhance their asset allocation strategies with an improved understanding of likely risks and returns.* Risk managers will understand how to improve their measurement systems and forecasts, enhancing their risk management models and controls.* Derivative specialists will gain an in-depth understanding of volatility that they can use to improve their pricing models.* Students and academics will find the collection of papers an invaluable overview of this field.This book is of particular relevance to those wanting to understand the dynamic areas of volatility modeling and forecasting of the financial marketsProvides the latest research and techniques for Traders, Investment Managers, Risk Managers and Derivative Specialists wishing to manage their downside risk exposure Current research on the key forecasting methods to use in risk management, including two new chapters
Author: Halbert White
Publisher: Oxford University Press, USA
ISBN: 9780198296836
Category : Business & Economics
Languages : en
Pages : 512
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Book Description
A collection of essays in honour of Clive Granger. The chapters are by some of the world's leading econometricians, all of whom have collaborated with and/or studied with both) Clive Granger. Central themes of Granger's work are reflected in the book with attention to tests for unit roots and cointegration, tests of misspecification, forecasting models and forecast evaluation, non-linear and non-parametric econometric techniques, and overall, a careful blend of practical empirical work and strong theory. The book shows the scope of Granger's research and the range of the profession that has been influenced by his work.
Author: Robert A. Jarrow
Publisher:
ISBN:
Category : Derivative securities
Languages : en
Pages : 472
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Book Description
Written by a number of authors, this text is aimed at market practitioners and applies the latest stochastic volatility research findings to the analysis of stock prices. It includes commentary and analysis based on real-life situations.
Author: Emanuel Derman
Publisher: John Wiley & Sons
ISBN: 1118959175
Category : Business & Economics
Languages : en
Pages : 532
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Book Description
The Volatility Smile The Black-Scholes-Merton option model was the greatest innovation of 20th century finance, and remains the most widely applied theory in all of finance. Despite this success, the model is fundamentally at odds with the observed behavior of option markets: a graph of implied volatilities against strike will typically display a curve or skew, which practitioners refer to as the smile, and which the model cannot explain. Option valuation is not a solved problem, and the past forty years have witnessed an abundance of new models that try to reconcile theory with markets. The Volatility Smile presents a unified treatment of the Black-Scholes-Merton model and the more advanced models that have replaced it. It is also a book about the principles of financial valuation and how to apply them. Celebrated author and quant Emanuel Derman and Michael B. Miller explain not just the mathematics but the ideas behind the models. By examining the foundations, the implementation, and the pros and cons of various models, and by carefully exploring their derivations and their assumptions, readers will learn not only how to handle the volatility smile but how to evaluate and build their own financial models. Topics covered include: The principles of valuation Static and dynamic replication The Black-Scholes-Merton model Hedging strategies Transaction costs The behavior of the volatility smile Implied distributions Local volatility models Stochastic volatility models Jump-diffusion models The first half of the book, Chapters 1 through 13, can serve as a standalone textbook for a course on option valuation and the Black-Scholes-Merton model, presenting the principles of financial modeling, several derivations of the model, and a detailed discussion of how it is used in practice. The second half focuses on the behavior of the volatility smile, and, in conjunction with the first half, can be used for as the basis for a more advanced course.
Author: Kenneth P. Burnham
Publisher: Springer Science & Business Media
ISBN: 0387224564
Category : Mathematics
Languages : en
Pages : 512
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Book Description
A unique and comprehensive text on the philosophy of model-based data analysis and strategy for the analysis of empirical data. The book introduces information theoretic approaches and focuses critical attention on a priori modeling and the selection of a good approximating model that best represents the inference supported by the data. It contains several new approaches to estimating model selection uncertainty and incorporating selection uncertainty into estimates of precision. An array of examples is given to illustrate various technical issues. The text has been written for biologists and statisticians using models for making inferences from empirical data.
Author: Lorenzo Bergomi
Publisher: CRC Press
ISBN: 1482244071
Category : Business & Economics
Languages : en
Pages : 520
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Book Description
Packed with insights, Lorenzo Bergomi's Stochastic Volatility Modeling explains how stochastic volatility is used to address issues arising in the modeling of derivatives, including:Which trading issues do we tackle with stochastic volatility? How do we design models and assess their relevance? How do we tell which models are usable and when does c
Author: Joshua Aizenman
Publisher: Cambridge University Press
ISBN: 1139446940
Category : Business & Economics
Languages : en
Pages : 615
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Book Description
Economic volatility has come into its own after being treated for decades as a secondary phenomenon in the business cycle literature. This evolution has been driven by the recognition that non-linearities, long buried by the economist's penchant for linearity, magnify the negative effects of volatility on long-run growth and inequality, especially in poor countries. This collection organizes empirical and policy results for economists and development policy practitioners into four parts: basic features, including the impact of volatility on growth and poverty; commodity price volatility; the financial sector's dual role as an absorber and amplifier of shocks; and the management and prevention of macroeconomic crises. The latter section includes a cross-country study, case studies on Argentina and Russia, and lessons from the debt default episodes of the 1980s and 1990s.
Author: Sharda S. Nandram
Publisher: Springer
ISBN: 3319522310
Category : Business & Economics
Languages : en
Pages : 338
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Book Description
In this book, experts discuss whether volatility, uncertainty, complexity and ambiguity (VUCA) represent a challenge or a business opportunity. More intense debates on global climate change, increased turbulence in financial quarters, increased job insecurity and high levels of stress at the workplace are attracting attention in the context of organization behavior and entrepreneurship. Fear and confusion have become part and parcel of business, often undermining trust, cooperation and inspiration. As a response, a new way of organizing self-management has emerged. The book combines practical wisdom from East and West, to develop integrative self-management theory and practice; provides direction to support an integrative mind-set, integrative organization and integrative leadership; and presents VUCA as an opportunity and necessity for development and growth, rather than a threat.
Author: Marco Corazza
Publisher: Springer Nature
ISBN: 3030996387
Category : Mathematics
Languages : en
Pages : 456
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Book Description
The cooperation and contamination among mathematicians, statisticians and econometricians working in actuarial sciences and finance are improving the research on these topics and producing numerous meaningful scientific results. This volume presents new ideas in the form of four- to six-page papers presented at the International Conference MAF2022 – Mathematical and Statistical Methods for Actuarial Sciences and Finance. Due to the COVID-19 pandemic, the conference, to which this book is related, was organized in a hybrid form by the Department of Economics and Statistics of the University of Salerno, with the partnership of the Department of Economics of Cà Foscari University of Venice, and was held from 20 to 22 April 2022 in Salerno (Italy) MAF2022 is the tenth edition of an international biennial series of scientific meetings, started in 2004 on the initiative of the Department of Economics and Statistics of the University of Salerno. It has established itself internationally with gradual and continuous growth and scientific enrichment. The effectiveness of this idea has been proven by the wide participation in all the editions, which have been held in Salerno (2004, 2006, 2010, 2014, 2022), Venice (2008, 2012 and 2020 online), Paris (2016) and Madrid (2018). This book covers a wide variety of subjects: artificial intelligence and machine learning in finance and insurance, behavioural finance, credit risk methods and models, dynamic optimization in finance, financial data analytics, forecasting dynamics of actuarial and financial phenomena, foreign exchange markets, insurance models, interest rate models, longevity risk, models and methods for financial time series analysis, multivariate techniques for financial markets analysis, pension systems, portfolio selection and management, real-world finance, risk analysis and management, trading systems, and others. This volume is a valuable resource for academics, PhD students, practitioners, professionals and researchers. Moreover, it is also of interest to other readers with quantitative background knowledge.
