Local Variance Gamma and Explicit Calibration to Option Prices
Peter Carr, Sergey Nadtochiy

TL;DR
This paper introduces an efficient algorithm for calibrating jump Markov models to match European option prices across multiple strikes and maturities, applicable to various markets with different listing conventions.
Contribution
It provides a novel calibration method using simple root-search problems for constructing time-homogeneous and piecewise processes matching market smiles.
Findings
Algorithm efficiently calibrates models to market prices.
Constructs time-homogeneous processes for single smiles.
Builds piecewise processes for multiple smiles.
Abstract
In some options markets (e.g. commodities), options are listed with only a single maturity for each underlying. In others, (e.g. equities, currencies), options are listed with multiple maturities. In this paper, we provide an algorithm for calibrating a pure jump Markov martingale model to match the market prices of European options of multiple strikes and maturities. This algorithm only requires solutions of several one-dimensional root-search problems, as well as application of elementary functions. We show how to construct a time-homogeneous process which meets a single smile, and a piecewise time-homogeneous process which can meet multiple smiles.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and financial applications · Economic theories and models · Financial Risk and Volatility Modeling
