Abstract
Confidence intervals and joint confidence sets are constructed for the nonparametric calibration of exponential Lévy models based on prices of European options. To this end, we show joint asymptotic normality in the spectral calibration method for the estimators of the volatility, the drift, the jump intensity and the Lévy density at finitely many points.
Original language | English |
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Pages (from-to) | 617-649 |
Number of pages | 33 |
Journal | Finance and Stochastics |
Volume | 18 |
Issue number | 3 |
DOIs | |
Publication status | Published - 2014 |
Externally published | Yes |
Keywords
- Asymptotic normality
- Confidence sets
- European option
- Jump diffusion
- Nonlinear inverse problem