Dynamic Hedging

Filename: dynamic-hedging.pdf
ISBN: 0471152803
Release Date: 1997-01-14
Number of pages: 506
Author: Nassim Taleb
Publisher: John Wiley & Sons

Download and read online Dynamic Hedging in PDF and EPUB Dynamic Hedging is the definitive source on derivatives risk. Itprovides a real–world methodology for managing portfolioscontaining any nonlinear security. It presents risks from thevantage point of the option market maker and arbitrage operator.The only book about derivatives risk written by an experiencedtrader with theoretical training, it remolds option theory to fitthe practitioner′s environment. As a larger share of marketexposure cannot be properly captured by mathematical models, notedoption arbitrageur Nassim Taleb uniquely covers both on–model andoff–model derivatives risks. The author discusses, in plain English, vital issues,including: The generalized option, which encompasses all instruments withconvex payoff, including a trader′s potential bonus. The techniques for trading exotic options, including binary,barrier, multiasset, and Asian options, as well as methods to takeinto account the wrinkles of actual, non–bellshapeddistributions. Market dynamics viewed from the practitioner′s vantage point,including liquidity holes, portfolio insurance, squeezes, fattails, volatility surface, GARCH, curve evolution, static optionreplication, correlation instability, Pareto–Levy, regime shifts,autocorrelation of price changes, and the severe flaws in the valueat risk method. New tools to detect risks, such as higher moment analysis,topography exposure, and nonparametric techniques. The path dependence of all options hedged dynamically. Dynamic Hedging is replete with helpful tools, market anecdotes,at–a–glance risk management rules distilling years of market lore,and important definitions. The book contains modules in which thefundamental mathematics of derivatives, such as the Brownianmotion, Ito′s lemma, the numeraire paradox, the Girsanov change ofmeasure, and the Feynman–Kac solution are presented in intuitivepractitioner′s language. Dynamic Hedging is an indispensable and definitive reference formarket makers, academics, finance students, risk managers, andregulators. The definitive book on options trading and risk management "If pricing is a science and hedging is an art, Taleb is avirtuoso." –Bruno Dupire, Head of Swaps and Options Research,Paribas Capital Markets "This is not merely the best book on how options trade, it isthe only book." –Stan Jonas, Managing Director, FIMAT–SocietyGARCH "Dynamic Hedging bridges the gap between what the besttraders know and what the best scholars can prove." –WilliamMargrabe, President, The William Margrabe Group, Inc. "The most comprehensive, insightful, intuitive work on thesubject. It is instrumental for both beginning and experiencedtraders."– "A tour de force. That rare find, a book of great practical andtheoretical value. Taleb successfully bridges the gap between theacademic and the real world. Interesting, provocative, wellwritten. Each chapter worth a fortune to any current or prospectivederivatives trader."–Victor Niederhoffer, Chairman, NiederhofferInvestments


Dynamic Hedging

Filename: dynamic-hedging.pdf
ISBN: 0471353477
Release Date: 2002
Number of pages: 558
Author: Nassim Taleb
Publisher: John Wiley & Sons

Download and read online Dynamic Hedging in PDF and EPUB The only complete resource addressing derivative risk With the fully updated and expanded Dynamic Hedging, Revised Edition, readers will learn the proven methodologies for monitoring and managing all the risks associated with managing portfolios containing any nonlinear security. Presenting risk from the vantage point of the option market maker and arbitrage operator, this book remolds options theory to fit the practitioner′s environment. Replete with helpful tools, market anecdotes, and at–a–glance risk management rules, Dynamic Hedging, Revised Edition is a comprehensive reference to the complexities of the options market that provides clear explanations of all the various forms of risk. Nassim Nicholas Taleb (Greenwich, CT) is the founder of Empirica Capital LLC, a hedge fund operator, and a fellow at the Courant Institute of Mathematical Sciences of New York University. Dr. Taleb was inducted in February 2001 into the Derivatives Strategy Hall of Fame. He received an MBA from the Wharton School and a PhD from University Paris–Dauphine. Over the years, financial professionals around the world have looked to the Wiley Finance series and its wide array of bestselling books for the knowledge, insights, and techniques that are essential to success in financial markets. As the pace of change in financial markets and instruments quickens, Wiley Finance continues to respond. With critically acclaimed books by leading thinkers on value investing, risk management, asset allocation, and many other critical subjects, the Wiley Finance series provides the financial community with information they want. Written to provide professionals and individuals with the most current thinking from the best minds in the industry, it is no wonder that the Wiley Finance series is the first and last stop for financial professionals looking to increase their financial expertise.


Portfolio Insurance

Filename: portfolio-insurance.pdf
ISBN: 0471858498
Release Date: 1988-03-16
Number of pages: 322
Author: Donald Luskin
Publisher: Wiley

Download and read online Portfolio Insurance in PDF and EPUB Portfolio insurance has become a craze among institutional investors: over the past ten years, the value of assets managed under this strategy has grown from zero to more than -50 billion. This guide offers complete coverage and practical advice on every aspect of the subject. It clearly defines the characteristics of portfolio insurance, providing background on its history and the theory of hedging, going on to describe how to implement a hedging strategy, how to fit portfolio insurance into long-term financial planning, using index and financial futures and options in hedging, and techniques for measuring performance. Also included is a discussion of how portfolio insurance operates in the international arena.


Static vs dynamic hedging

Filename: static-vs-dynamic-hedging.pdf
ISBN: CORNELL:31924083607097
Release Date: 1997
Number of pages:
Author: Cindy T. Chen
Publisher:

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Optimal dynamic hedging strategies with financial futures contracts using nonlinear conditional heteroskedastic models

Filename: optimal-dynamic-hedging-strategies-with-financial-futures-contracts-using-nonlinear-conditional-heteroskedastic-models.pdf
ISBN: UOM:39015024923628
Release Date: 1992
Number of pages: 368
Author: Anthony Chan
Publisher:

Download and read online Optimal dynamic hedging strategies with financial futures contracts using nonlinear conditional heteroskedastic models in PDF and EPUB Treasury bills futures market are chosen for the purpose of empirical study.



Dynamic Hedging

Filename: dynamic-hedging.pdf
ISBN: OCLC:826651185
Release Date: 2013
Number of pages:
Author: Ivan Smirnov
Publisher:

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Uncertain Growth Cycles Corporate Investment and Dynamic Hedging

Filename: uncertain-growth-cycles-corporate-investment-and-dynamic-hedging.pdf
ISBN: OCLC:769458399
Release Date: 2010
Number of pages: 240
Author: Adam Yonce
Publisher:

Download and read online Uncertain Growth Cycles Corporate Investment and Dynamic Hedging in PDF and EPUB In the theory of finance, uncertainty plays a crucial role. Economists often use the terms uncertainty and volatility interchangeably, yet volatility is not the only form of uncertainty. Firms face uncertainty about whether the economy is in an expansionary or recessionary state, industries face regulatory uncertainty, and individuals face uncertainty about risk premia. In this dissertation, I consider the role that uncertainty about growth rates, regulatory policy, and risk premia play in the investment decisions of firms and individuals. The key theme linking the three chapters is learning in dynamic environments. In Chapter 1, I study the effects of demand growth uncertainty on corporate investment decisions. In particular, how does uncertainty about the state of the economy and the state of demand growth affect a firm's decision to allocate capital to irreversible investment projects? In the model, firms are able to choose both the timing and scale of their investments, and the optimal scale will depend on the unobserved state of demand growth. This second decision gives rise to an incentive to delay investment that does not exist in standard real option models: When investment is irreversible, firms risk allocating a sub-optimal level of capital to a project. Theoretically, I show how this incentive to delay is closely linked to the benefits of learning about the economy. Empirically, using estimated probabilities filtered from GDP growth, I find that 1) beliefs about the economy inform corporate investment decisions, and 2) the relationship between investment and beliefs is quadratic. In Chapter 2, I study an empirical extension of the model. Many industries in the United States face regulatory uncertainty, and a natural conjecture is that increased regulatory uncertainty has a dampening effect on investment if 1) regulatory policy affects the cash flows of the firm, 2) firms have flexibility over the scale of their investments, and 3) regulatory uncertainty resolves quickly. While regulatory uncertainty is not observable, I consider two proxies: A variable indicating Presidential election years, and a variable indicating divided government. The former is meant to capture policy uncertainty associated with the possibility of a change in government, while the latter is meant to capture policy uncertainty associated with ideological variance. Empirically, both measures are associated with a decrease in corporate investment rates, consistent with the theoretical framework. The second purpose of this chapter is to highlight the dangers of making inferences about investment using inconsistent estimators and regressions that fail to account for plausible alternative hypotheses. Previous work linking investment to the political cycle relies on least squares estimators that are inconsistent because the firm-specific control variables are endogenous to the investment decision. For a specific sub-sample of non-manufacturing firms, I show that least squares estimates easily reject the null hypothesis, while consistent first-difference estimates fail to do so. Finally, I include a control for the fiscal environment of the federal government, which helps to uncover important dynamics between investment, the budget deficit, and the election cycle. In chapter 3, I consider the currency hedging problem of a risk-averse international investor who faces an unobservable currency risk premium. A non-zero risk premium introduces a speculative motive for holding foreign currency in the optimal portfolio, and a time-varying risk premium introduces a market-timing strategy. Uncertainty about the stochastic properties of the risk premium significantly tames both the speculative and market timing components, especially at long investment horizons, and the optimal hedge approaches a complete hedge as risk aversion and the investment horizon increase. However, an investor who ignores the risk premium and fully hedges foreign investments faces a substantial opportunity cost because she forgoes the benefits of dynamic learning.


Derivatives Analytics with Python Data Analytics Models Simulation Calibration and Hedging WS

Filename: derivatives-analytics-with-python-data-analytics-models-simulation-calibration-and-hedging-ws.pdf
ISBN: 9781119037996
Release Date: 2015-05-04
Number of pages: 352
Author: Yves Hilpisch
Publisher: John Wiley & Sons

Download and read online Derivatives Analytics with Python Data Analytics Models Simulation Calibration and Hedging WS in PDF and EPUB Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration and Hedging provides the necessary background information, theoretical foundations and numerical tools to implement a market-based valuation of stock index options. Topics are, amongst others, stylized facts of equity and options markets, risk-neutral valuation, Fourier transform methods, Monte Carlo simulation, model calibration, valuation and dynamic hedging. The financial models introduced in this book exhibit features like stochastic volatility, jump components and stochastic short rates. The approach is a practical one in that all important aspects are illustrated by a set of self-contained Python scripts. Benefits of Reading the Book: Data Analysis: Learn how to use Python for data and financial analysis. Reproduce major stylized facts of equity and options markets by yourself. Models: Learn risk-neutral pricing techniques from ground up, apply Fourier transform techniques to European options and advanced Monte Carlo pricing to American options. Simulation: Monte Carlo simulation is the most powerful and flexible numerical method for derivatives analytics. Simulate models with jumps, stochastic volatility and stochastic short rates. Calibration: Use global and local optimization techniques (incl. penalties) to calibrate advanced option pricing models to market quotes for options with different strikes and maturities. Hedging: Learn how to use advanced option pricing models in combination with advanced numerical methods to dynamically hedge American options. Python: All results, graphics, etc. presented are in general reproducible with the Python scripts accompanying the book. Benefit from more than 5,500 lines of code.


Optimal Dynamic Hedging

Filename: optimal-dynamic-hedging.pdf
ISBN: OCLC:20742191
Release Date: 1988
Number of pages: 38
Author: Sanford J. Grossman
Publisher:

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Option Volatility Pricing Advanced Trading Strategies and Techniques

Filename: option-volatility-pricing-advanced-trading-strategies-and-techniques.pdf
ISBN: 9780071508018
Release Date: 1994-08-22
Number of pages: 470
Author: Sheldon Natenberg
Publisher: McGraw Hill Professional

Download and read online Option Volatility Pricing Advanced Trading Strategies and Techniques in PDF and EPUB One of the most widely read books among active option traders around the world, Option Volatility & Pricing has been completely updated to reflect the most current developments and trends in option products and trading strategies. Featuring: Pricing models Volatility considerations Basic and advanced trading strategies Risk management techniques And more! Written in a clear, easy-to-understand fashion, Option Volatility & Pricing points out the key concepts essential to successful trading. Drawing on his experience as a professional trader, author Sheldon Natenberg examines both the theory and reality of option trading. He presents the foundations of option theory explaining how this theory can be used to identify and exploit trading opportunities. Option Volatility & Pricing teaches you to use a wide variety of trading strategies and shows you how to select the strategy that best fits your view of market conditions and individual risk tolerance. New sections include: Expanded coverage of stock option Strategies for stock index futures and options A broader, more in-depth discussion volatility Analysis of volatility skews Intermarket spreading with options