SEMI-STATIC VARIANCE-OPTIMAL HEDGING IN STOCHASTIC VOLATILITY MODELS WITH FOURIER REPRESENTATION
Research output: Contribution to journal › Research article › Contributed › peer-review
Abstract
We introduce variance-optimal semi-static hedging strategies for a given contingent claim. To obtain a tractable formula for the expected squared hedging error and the optimal hedging strategy we use a Fourier approach in a multidimensional factor model. We apply the theory to set up a variance-optimal semi-static hedging strategy for a variance swap in the Heston model, which is affine, in the 3/2 model, which is not. and in a market model including jumps.
Details
Original language | English |
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Pages (from-to) | 787-809 |
Number of pages | 23 |
Journal | Journal of Applied Probability |
Volume | 56 |
Issue number | 3 |
Publication status | Published - Sept 2019 |
Peer-reviewed | Yes |
External IDs
Scopus | 85072829372 |
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ORCID | /0000-0003-0913-3363/work/166762747 |
Keywords
Keywords
- Variance-optimal and semi-static hedging, volatility model, Fourier representation, square-integrable martingale, OPTIONS