### Abstract

The paper proposes an expanded version of the Local Variance Gamma model of Carr and Nadtochiy by adding drift to the governing underlying process. Still in this new model it is possible to derive an ordinary differential equation for the option price which plays a role of Dupire’s equation for the standard local volatility model. It is shown how calibration of multiple smiles (the whole local volatility surface) can be done in such a case. Further, assuming the local variance to be a piecewise linear function of strike and piecewise constant function of time this ODE is solved in closed form in terms of Confluent hypergeometric functions. Calibration of the model to market smiles does not require solving any optimization problem and, in contrast, can be done term-by-term by solving a system of non-linear algebraic equations for each maturity. This is much faster as compared with calibration which requires solving the Dupire PDE.

Original language | English (US) |
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Journal | Computational Economics |

DOIs | |

State | Accepted/In press - 2020 |

### Keywords

- Closed form solution
- Fast calibration
- Gamma distribution
- Local volatility
- No-arbitrage
- Piecewise linear variance
- Stochastic clock
- Variance Gamma process

### ASJC Scopus subject areas

- Economics, Econometrics and Finance (miscellaneous)
- Computer Science Applications

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## Cite this

*Computational Economics*. https://doi.org/10.1007/s10614-020-10000-w