Pricing commodity swing options
Pricing of Securities
2020-01-27 v1 Computational Finance
Abstract
In commodity and energy markets swing options allow the buyer to hedge against futures price fluctuations and to select its preferred delivery strategy within daily or periodic constraints, possibly fixed by observing quoted futures contracts. In this paper we focus on the natural gas market and we present a dynamical model for commodity futures prices able to calibrate liquid market quotes and to imply the volatility smile for futures contracts with different delivery periods. We implement the numerical problem by means of a least-square Monte Carlo simulation and we investigate alternative approaches based on reinforcement learning algorithms.
Cite
@article{arxiv.2001.08906,
title = {Pricing commodity swing options},
author = {Roberto Daluiso and Emanuele Nastasi and Andrea Pallavicini and Giulio Sartorelli},
journal= {arXiv preprint arXiv:2001.08906},
year = {2020}
}