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| Author | : Jean-Pierre Fouque |
| Publisher | : Cambridge University Press |
| Total Pages | : 222 |
| Release | : 2000-07-03 |
| Genre | : Business & Economics |
| ISBN | : 9780521791632 |
This book, first published in 2000, addresses pricing and hedging derivative securities in uncertain and changing market volatility.
| Author | : Lorenzo Bergomi |
| Publisher | : CRC Press |
| Total Pages | : 520 |
| Release | : 2015-12-16 |
| Genre | : Business & Economics |
| ISBN | : 1482244071 |
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 | : Robert Buff |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 246 |
| Release | : 2012-12-06 |
| Genre | : Mathematics |
| ISBN | : 3642563236 |
This is one of the only books to describe uncertain volatility models in mathematical finance and their computer implementation for portfolios of vanilla, barrier and American options in equity and FX markets. Uncertain volatility models place subjective constraints on the volatility of the stochastic process of the underlying asset and evaluate option portfolios under worst- and best-case scenarios. This book, which is bundled with software, is aimed at graduate students, researchers and practitioners who wish to study advanced aspects of volatility risk in portfolios of vanilla and exotic options. The reader is assumed to be familiar with arbitrage pricing theory.
| Author | : Paul Wilmott |
| Publisher | : John Wiley & Sons |
| Total Pages | : 1785 |
| Release | : 2013-10-25 |
| Genre | : Business & Economics |
| ISBN | : 1118836839 |
Paul Wilmott on Quantitative Finance, Second Edition provides a thoroughly updated look at derivatives and financial engineering, published in three volumes with additional CD-ROM. Volume 1: Mathematical and Financial Foundations; Basic Theory of Derivatives; Risk and Return. The reader is introduced to the fundamental mathematical tools and financial concepts needed to understand quantitative finance, portfolio management and derivatives. Parallels are drawn between the respectable world of investing and the not-so-respectable world of gambling. Volume 2: Exotic Contracts and Path Dependency; Fixed Income Modeling and Derivatives; Credit Risk In this volume the reader sees further applications of stochastic mathematics to new financial problems and different markets. Volume 3: Advanced Topics; Numerical Methods and Programs. In this volume the reader enters territory rarely seen in textbooks, the cutting-edge research. Numerical methods are also introduced so that the models can now all be accurately and quickly solved. Throughout the volumes, the author has included numerous Bloomberg screen dumps to illustrate in real terms the points he raises, together with essential Visual Basic code, spreadsheet explanations of the models, the reproduction of term sheets and option classification tables. In addition to the practical orientation of the book the author himself also appears throughout the book—in cartoon form, readers will be relieved to hear—to personally highlight and explain the key sections and issues discussed. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
| Author | : Christian Ekstrand |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 320 |
| Release | : 2011-08-26 |
| Genre | : Business & Economics |
| ISBN | : 3642221556 |
This book gives a comprehensive introduction to the modeling of financial derivatives, covering all major asset classes (equities, commodities, interest rates and foreign exchange) and stretching from Black and Scholes' lognormal modeling to current-day research on skew and smile models. The intended reader has a solid mathematical background and is a graduate/final-year undergraduate student specializing in Mathematical Finance, or works at a financial institution such as an investment bank or a hedge fund.
| Author | : Espen Gaarder Haug |
| Publisher | : John Wiley & Sons |
| Total Pages | : 400 |
| Release | : 2013-10-18 |
| Genre | : Business & Economics |
| ISBN | : 1118836820 |
Derivatives Models on Models takes a theoretical and practical look at some of the latest and most important ideas behind derivatives pricing models. In each chapter the author highlights the latest thinking and trends in the area. A wide range of topics are covered, including valuation methods on stocks paying discrete dividend, Asian options, American barrier options, Complex barrier options, reset options, and electricity derivatives. The book also discusses the latest ideas surrounding finance like the robustness of dynamic delta hedging, option hedging, negative probabilities and space-time finance. The accompanying CD-ROM with additional Excel sheets includes the mathematical models covered in the book. The book also includes interviews with some of the world’s top names in the industry, and an insight into the history behind some of the greatest discoveries in quantitative finance. Interviewees include: Clive Granger, Nobel Prize winner in Economics 2003, on Cointegration Nassim Taleb on Black Swans Stephen Ross on Arbitrage Pricing Theory Emanuel Derman the Wall Street Quant Edward Thorp on Gambling and Trading Peter Carr the Wall Street Wizard of Option Symmetry and Volatility Aaron Brown on Gambling, Poker and Trading David Bates on Crash and Jumps Andrei Khrennikov on Negative Probabilities Elie Ayache on Option Trading and Modeling Peter Jaeckel on Monte Carlo Simulation Alan Lewis on Stochastic Volatility and Jumps Paul Wilmott on Paul Wilmott Knut Aase on Catastrophes and Financial Economics Eduardo Schwartz the Yoga Master of Quantitative Finance Bruno Dupire on Local and Stochastic Volatility Models
| Author | : William Johnson |
| Publisher | : HiTeX Press |
| Total Pages | : 524 |
| Release | : 2024-10-17 |
| Genre | : Business & Economics |
| ISBN | : |
"Volatility Modeling in Finance: Techniques for Trading Strategies" offers an incisive look into the pivotal concept of volatility, essential for anyone navigating the financial markets. This comprehensive guide demystifies the intricate dynamics of volatility, combining theoretical insights with practical applications. From understanding the foundational types of volatility to leveraging advanced models like GARCH and stochastic frameworks, the book equips readers with the necessary tools to assess risk and seize opportunities within fluctuating markets. Each chapter is meticulously structured to build on core principles, while incorporating cutting-edge techniques such as machine learning and algorithmic trading. Whether you're a novice seeking to deepen your understanding or a seasoned professional aiming to refine your strategies, this book presents a wealth of knowledge, enriched with case studies and real-world examples. Through its detailed exploration, readers will gain the foresight and strategies needed to capitalize on volatility, transforming a formidable challenge into a powerful ally in the pursuit of financial success.
| Author | : George J Kaye |
| Publisher | : World Scientific Publishing Company |
| Total Pages | : 438 |
| Release | : 2012-11-16 |
| Genre | : Business & Economics |
| ISBN | : 1908979585 |
Along with the extraordinary growth in the derivatives market over the last decade, the impact of model choice, and model parameter usage, has become a major source of valuation uncertainty. This book concentrates on equity derivatives and charts, step by step, how key assumptions on the dynamics of stocks impact on the value of exotics. The presentation is technical, but maintains a strong focus on intuition and practical application./a
| Author | : Mathieu Le Bellac |
| Publisher | : World Scientific Publishing Company |
| Total Pages | : 232 |
| Release | : 2016-11-14 |
| Genre | : Business & Economics |
| ISBN | : 981314212X |
Since 2007, the repeated financial crises around the world have brought to the headlines financial practices and models considered to fuel the economic instabilities. Deep Dive into Financial Models: Modeling Risk and Uncertainty comes handy in demystifying the underlying quantitative finance concepts. With a limited use of mathematical formalism, the book explains thoroughly the models, their hypotheses, principles and other building blocks. A particular care is given to model limitations and their misuse for investment strategies, asset pricing, or risk management. Its reader-friendly nature provides readers with a head start in quantitative finance.
