On The Valuation Of Fader And Discrete Barrier Options In Hestons Stochastic Volatility Model
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| Author | : Susanne Griebsch |
| Publisher | : |
| Total Pages | : 29 |
| Release | : 2010 |
| Genre | : |
| ISBN | : |
We focus on closed-form option pricing in Heston's stochastic volatility model, where closed-form formulas exist only for a few option types. Most of these closed-form solutions are constructed from characteristic functions. We follow this closed-form approach and derive multivariate characteristic functions depending on at least two spot values for different points in time. The derived characteristic functions are used as building blocks to set up (semi-) analytical pricing formulas for exotic options with payoffs depending on finitely many spot values such as fader options and discretely monitored barrier options. We compare our result with different numerical methods and examine accuracy and computational times.
| Author | : Vitalija Alisauskaite |
| Publisher | : |
| Total Pages | : 55 |
| Release | : 2010 |
| Genre | : |
| ISBN | : |
| Author | : Daniel Guterding |
| Publisher | : |
| Total Pages | : 18 |
| Release | : 2019 |
| Genre | : |
| ISBN | : |
We present a simple and numerically efficient approach to the calibration of the Heston stochastic volatility model with piecewise constant parameters. Extending the original ansatz for the characteristic function, proposed in the seminal paper by Heston, to the case of piecewise constant parameters, we show that the resulting set of ordinary differential equations can still be integrated semi-analytically. Our numerical scheme is based on the calculation of the characteristic function using Gauss-Kronrod quadrature, additionally supplying a Black-Scholes control variate to stabilize the numerical integrals. We apply our method to the problem of calibration of the Heston model with piecewise constant parameters to the foreign exchange (FX) options market. Finally, we demonstrate cases in which window barrier option prices calculated using the Heston model with piecewise constant parameters are consistent with the market, while those calculated with a plain Heston model are not.
| Author | : Christian De Schryver |
| Publisher | : Springer |
| Total Pages | : 288 |
| Release | : 2015-07-30 |
| Genre | : Technology & Engineering |
| ISBN | : 3319154079 |
This book covers the latest approaches and results from reconfigurable computing architectures employed in the finance domain. So-called field-programmable gate arrays (FPGAs) have already shown to outperform standard CPU- and GPU-based computing architectures by far, saving up to 99% of energy depending on the compute tasks. Renowned authors from financial mathematics, computer architecture and finance business introduce the readers into today’s challenges in finance IT, illustrate the most advanced approaches and use cases and present currently known methodologies for integrating FPGAs in finance systems together with latest results. The complete algorithm-to-hardware flow is covered holistically, so this book serves as a hands-on guide for IT managers, researchers and quants/programmers who think about integrating FPGAs into their current IT systems.
| Author | : Cathrine Jessen |
| Publisher | : |
| Total Pages | : 12 |
| Release | : 2009 |
| Genre | : |
| ISBN | : |
In this paper the empirical performance of alternative models for barrier option valuation and risk management is studied. Five commonly used models are compared: the Black-Scholes model, the constant elasticity of variance model, the Heston stochastic volatility model, the Merton jump-diffusion model, and the infinite activity Variance Gamma model. We employ time-series data from the USD/EUR exchange rate market, and use plain vanilla option prices as well as a unique data-set of observed market values of barrier options. The different models are calibrated to the plain vanilla option prices, and cross-sectional and predicted pricing errors for both plain vanilla and barrier options are investigated. For the plain vanilla options the Heston model has superior performance both in cross-section and for prediction horizons of up to one month, with its closest competitors being the Merton and the Variance Gamma models. For the barrier options, the Heston model has a slightly, but not significantly, better performance than the continuous alternatives Black-Scholes and constant elasticity of variance, while both models with jumps(Merton and Variance Gamma) perform markedly worse.
| Author | : David Heath |
| Publisher | : |
| Total Pages | : 21 |
| Release | : 1995 |
| Genre | : Hedging (Finance) |
| ISBN | : |
| Author | : Jim Gatheral |
| Publisher | : Wiley |
| Total Pages | : 208 |
| Release | : 2006-09-18 |
| Genre | : Business & Economics |
| ISBN | : 0470068256 |
Praise for The Volatility Surface "I'm thrilled by the appearance of Jim Gatheral's new book The Volatility Surface. The literature on stochastic volatility is vast, but difficult to penetrate and use. Gatheral's book, by contrast, is accessible and practical. It successfully charts a middle ground between specific examples and general models--achieving remarkable clarity without giving up sophistication, depth, or breadth." --Robert V. Kohn, Professor of Mathematics and Chair, Mathematical Finance Committee, Courant Institute of Mathematical Sciences, New York University "Concise yet comprehensive, equally attentive to both theory and phenomena, this book provides an unsurpassed account of the peculiarities of the implied volatility surface, its consequences for pricing and hedging, and the theories that struggle to explain it." --Emanuel Derman, author of My Life as a Quant "Jim Gatheral is the wiliest practitioner in the business. This very fine book is an outgrowth of the lecture notes prepared for one of the most popular classes at NYU's esteemed Courant Institute. The topics covered are at the forefront of research in mathematical finance and the author's treatment of them is simply the best available in this form." --Peter Carr, PhD, head of Quantitative Financial Research, Bloomberg LP Director of the Masters Program in Mathematical Finance, New York University "Jim Gatheral is an acknowledged master of advanced modeling for derivatives. In The Volatility Surface he reveals the secrets of dealing with the most important but most elusive of financial quantities, volatility." --Paul Wilmott, author and mathematician "As a teacher in the field of mathematical finance, I welcome Jim Gatheral's book as a significant development. Written by a Wall Street practitioner with extensive market and teaching experience, The Volatility Surface gives students access to a level of knowledge on derivatives which was not previously available. I strongly recommend it." --Marco Avellaneda, Director, Division of Mathematical Finance Courant Institute, New York University "Jim Gatheral could not have written a better book." --Bruno Dupire, winner of the 2006 Wilmott Cutting Edge Research Award Quantitative Research, Bloomberg LP
| Author | : Tilman Sayer |
| Publisher | : |
| Total Pages | : 139 |
| Release | : 2012 |
| Genre | : |
| ISBN | : 9783843904629 |
| Author | : Jan H. Maruhn |
| Publisher | : Walter de Gruyter |
| Total Pages | : 210 |
| Release | : 2009 |
| Genre | : Mathematics |
| ISBN | : 3110204681 |
Static hedge portfolios for barrier options are very sensitive with respect to changes of the volatility surface. To prevent potentially significant hedging losses this book develops a static super-replication strategy with market-typical robustness against volatility, skew and liquidity risk as well as model errors. Empirical results and various numerical examples confirm that the static superhedge successfully eliminates the risk of a changing volatility surface. Combined with associated sub-replication strategies this leads to robust price bounds for barrier options which are also relevant in the context of dynamic hedging. The mathematical techniques used to prove appropriate existence, duality and convergence results range from financial mathematics, stochastic and semi-infinite optimization, convex analysis and partial differential equations to semidefinite programming.
| Author | : Yu Tian |
| Publisher | : |
| Total Pages | : 8 |
| Release | : 2014 |
| Genre | : |
| ISBN | : |
In this paper, we present our research on pricing window barrier options under a hybrid stochastic-local volatility (SLV) model in the foreign exchange (FX) market. Due to the hybrid effect of the local volatility and stochastic volatility components of the model, the SLV model can reproduce the market implied volatility surface, and can improve the pricing accuracy for exotic options at the same time. In this paper, numerical techniques such as Monte Carlo and finite difference methods for standard exotic barrier options under the SLV model are extended to pricing window barrier options and numerical results produced by the SLV model are used to examine the performance and accuracy of the model for pricing window barrier options.
