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Robust static super-replication of barrier options / Jan H. Maruhn.

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Format:
Book
Author/Creator:
Maruhn, Jan H.
Contributor:
Radon Institute for Computational and Applied Mathematics.
Series:
Radon series on computational and applied mathematics ; 7.
Radon series on computational and applied mathematics, 1865-3707 ; 7
Language:
English
Subjects (All):
Options (Finance)--Mathematical models.
Options (Finance).
Hedging (Finance)--Mathematical models.
Hedging (Finance).
Physical Description:
1 online resource (209 p.)
Edition:
1st ed.
Place of Publication:
Berlin ; New York : Walter de Gruyter, c2009.
Language Note:
English
Summary:
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.
Contents:
Frontmatter
Contents
1. Theoretical Background
2. Static Hedging of Barrier Options
3. An Optimization Approach to Static Super-Replication
4. Reformulation as a Semi-Infinite Problem
5. Eliminating Model Parameter Uncertainty
6. Modifications and Extensions
7. Avoiding Model Errors
8. Empirical Hedge Performance
9. Summary and Outlook
A. General Existence Theorem
B. Source Code
Backmatter
Notes:
"RICAM, Johann Radon Institute for Computational and Applied Mathematics".
Includes bibliographical references (p. [187]-191) and index.
ISBN:
9786612296468
9781282296466
1282296469
9783119165853
3119165859
9783110208511
3110208512
OCLC:
456907359

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