Uncertain Volatility Models - Theory and Application

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This book is also for graduate students and researchers who wish to study advanced aspects of volatility risk in portfolios of vanilla and exotic options.

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Uncertain Volatility Models Theory and Application ( with Cd)

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Neuware - This book introduces 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 such as upper and lower bounds on volatility and evaluate option portfolios under worst- and best-case scenarios. Uncertain Volatility Models - Theory and Application. Robert Buff. Publisher: Springer , This specific ISBN edition is currently not available.

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  5. I am very grateful to my academic advisor, Marco Avellaneda of New York University, who taught me mathematical finance and uncertain volatility. Computational finance be- came exciting for me because Marco encouraged an algorithmic approach to uncertain volatility. Sign up to the hive. Discover bookshops local to you.

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    Description Many introductory books on mathematical finance also outline some com- puter algorithms.

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    Analytic software needs design-a central message of the later chapters of this book. Antonio is the co-inventor of the original uncertain volatility model, A-UVM. Richard Holmes has found a crucial bug in an early implementation of the software. Add to Basket Sign in to add to wishlist. Delivered to your inbox to transfer to your device.

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