Heath-Jarrow-Morton meet lifted Heston in energy markets for joint historical and implied calibration
Fuente:
arXiv
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866915961492209664 |
|---|---|
| author | Jaber, Eduardo Abi Bruneau, Soukaïna De Carvalho, Nathan Sotnikov, Dimitri Tur, Laurent |
| author_facet | Jaber, Eduardo Abi Bruneau, Soukaïna De Carvalho, Nathan Sotnikov, Dimitri Tur, Laurent |
| contents | In energy markets, joint historical and implied calibration is of paramount importance for practitioners, yet notoriously challenging due to the need to align historical correlations of futures contracts with implied volatility smiles from the option market. We address this crucial problem with a multiplicative multi-factor Heath-Jarrow-Morton (HJM) model for forward curves, combined with a stochastic volatility factor coming from the lifted Heston model. We develop a sequential fast calibration procedure leveraging the Kemna-Vorst approximation of futures contracts: (i) historical correlations and the Variance Swap (VS) volatility term structure are captured through Level, Slope, and Curvature factors, (ii) the VS volatility term structure can then be corrected for a perfect match via a fixed-point algorithm, (iii) implied volatility smiles are calibrated using Fourier-based techniques. The main advantage of the proposed calibration framework is the decoupling of the calibration steps: each step tackles a simpler calibration subproblem and guaranties that the previously optimized parameters remain unchanged. Our model displays remarkable joint historical and implied calibration fits on the German power market and enables realistic interpolation within the implied volatility hypercube. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_05975 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Heath-Jarrow-Morton meet lifted Heston in energy markets for joint historical and implied calibration Jaber, Eduardo Abi Bruneau, Soukaïna De Carvalho, Nathan Sotnikov, Dimitri Tur, Laurent Mathematical Finance Computational Finance 91G20, 91G60 In energy markets, joint historical and implied calibration is of paramount importance for practitioners, yet notoriously challenging due to the need to align historical correlations of futures contracts with implied volatility smiles from the option market. We address this crucial problem with a multiplicative multi-factor Heath-Jarrow-Morton (HJM) model for forward curves, combined with a stochastic volatility factor coming from the lifted Heston model. We develop a sequential fast calibration procedure leveraging the Kemna-Vorst approximation of futures contracts: (i) historical correlations and the Variance Swap (VS) volatility term structure are captured through Level, Slope, and Curvature factors, (ii) the VS volatility term structure can then be corrected for a perfect match via a fixed-point algorithm, (iii) implied volatility smiles are calibrated using Fourier-based techniques. The main advantage of the proposed calibration framework is the decoupling of the calibration steps: each step tackles a simpler calibration subproblem and guaranties that the previously optimized parameters remain unchanged. Our model displays remarkable joint historical and implied calibration fits on the German power market and enables realistic interpolation within the implied volatility hypercube. |
| title | Heath-Jarrow-Morton meet lifted Heston in energy markets for joint historical and implied calibration |
| topic | Mathematical Finance Computational Finance 91G20, 91G60 |
| url | https://arxiv.org/abs/2501.05975 |