Elisa Alos, David Garcia Lorite

Malliavin Calculus in Finance (eBook, PDF)

Theory and Practice

• Format: PDF

Produktbeschreibung

This book aims to bridge the gap between theory and practice and demonstrate the practical value of Malliavin calculus. It offers readers the chance to discover an easy-to-apply tool that allows us to recover, unify, and generalize several previous results in the literature on stochastic volatility modeling.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 394
• Erscheinungstermin: 23. Dezember 2024
• Englisch
• ISBN-13: 9781040262993
• Artikelnr.: 72523953

Autorenporträt

Elisa Alòs holds a Ph.D. in Mathematics from the University of Barcelona. She is an Associate Professor in the Department of Economics and Business at Universitat Pompeu Fabra (UPF) and a Barcelona GSE Affiliated Professor. In the last fourteen years, her research focuses on the applications of the Malliavin calculus and the fractional Brownian motion in mathematical finance and volatility modeling.

David Garcia Lorite currently works in Caixabank as XVA quantitative analyst and he is doing a Ph.D. at Universidad de Barcelona under the guidance of Elisa Alòs with a focus in Malliavin calculus with application to finance. For the last fourteen years, he has worked in the financial industry in several companies but always working with hybrid derivatives. He has also strong computational skills and he has implemented several quantitative and not quantitative libraries in different languages throughout his career.

Inhaltsangabe

I. A primer on option pricing and volatility modeling. 1. The option
pricing problem. 1.1. Derivatives. 1.2. Non-arbitrage prices and the
Black-Scholes formula. 1.3. The Black-Scholes model. 1.4. The Black-Scholes
implied volatility and the non-constant volatility case. 1.5. Chapter's
digest. 2. The volatility process. 2.1. The estimation of the integrated
and the spot volatility. 2.2. Local volatilities. 2.3. Stochastic
volatilities. 2.4. Stochastic-local volatilities 2.5. Models based on the
fractional Brownian motion and rough volatilities. 2.6. Volatility
derivatives. 2.7. Chapter's Digest. II. Mathematical tools. 3. A primer on
Malliavin Calculus. 3.1. Definitions and basic properties. 3.2. Computation
of Malliavin Derivatives. 3.3. Malliavin derivatives for general SV models.
3.4. Chapter's digest. 4. Key tools in Malliavin Calculus. 4.1. The
Clark-Ocone-Haussman formula. 4.2. The integration by parts formula. 4.3.
The anticipating Ito's formula. 4.4. Chapter's Digest. 5. Fractional
Brownian motion and rough volatilities. 5.1. The fractional Brownian
motion. 5.2. The Riemann-Liouville fractional Brownian motion. 5.3.
Stochastic integration with respect to the fBm. 5.4. Simulation methods for
the fBm and the RLfBm. 5.5. The fractional Brownian motion in finance. 5.6.
The Malliavin derivative of fractional volatilities. 5.7. Chapter's digest.
III. Applications of Malliavin Calculus to the study of the implied
volatility surface. 6. The ATM short time level of the implied volatility.
6.1. Basic definitions and notation. 6.2. The classical Hull and White
formula. 6.3. An extension of the Hull and White formula from the
anticipating Itô's formula. 6.4. Decomposition formulas for implied
volatilities. 6.5. The ATM short-time level of the implied volatility. 6.6.
Chapter's digest. 7. The ATM short-time skew. 7.1. The term structure of
the empirical implied volatility surface. 7.2. The main problem and
notations. 7.3. The uncorrelated case. 7.4. The correlated case. 7.5. The
short-time limit of implied volatility skew. 7.6. Applications. 7.7. Is the
volatility long-memory, short memory, or both?. 7.8. A comparison with
jump-diffusion models: the Bates model. 7.9. Chapter's digest. 8.0. The ATM
short-time curvature. 8.1. Some empirical facts. 8.2. The uncorrelated
case. 8.3. The correlated case. 8.4. Examples. 8.5. Chapter's digest. IV.
The implied volatility of non-vanilla options. 9. Options with random
strikes and the forward smile. 9.1. A decomposition formula for random
strike options. 9.2. Forward start options as random strike options. 9.3.
Forward-Start options and the decomposition formula. 9.4. The ATM
short-time limit of the implied volatility. 9.5. At-the-money skew. 9.6.
At-the-money curvature. 9.7. Chapter's digest. 10. Options on the VIX.
10.1. The ATM short time level and skew of the implied volatility. 10.2.
VIX options. 10.3. Chapter's digest. Section V Non log-normal models. 11.
The Bachelier implied volatility. 11.1. Bachelier-type Models. 11.2. A
Decomposition formula for option prices. 11.3. A Decomposition formula for
implied volitality. 11.4. The Bachelier ATM skew. 11.5. Chapter's digest.
Bibliography. Index.