Commodity Asian option pricing and simulation in a 4-factor model with jump clusters.

Riccardo Brignone, Luca Gonzato, Carlo Sgarra
Author Information
  1. Riccardo Brignone: Department of Quantitative Finance, Institute for Economic Research, University of Freiburg, Rempartstr. 16, 79098 Freiburg im Breisgau, Germany. ORCID
  2. Luca Gonzato: Department of Statistics and Operations Research, University of Vienna, Kolingasse 14-16, 1090 Vienna, Austria.
  3. Carlo Sgarra: Department of Mathematics, Politecnico di Milano, Piazza Leonardo da Vinci, 32, 20133 Milan, Italy.

Abstract

Mean reversion, stochastic volatility, convenience yield and presence of jump clustering are well documented salient features of commodity markets, where Asian options are very popular. We propose a model which takes into account all these stylized features. We first state our model under the historical measure, then, after introducing a structure preserving change of measure, we provide a risk-neutral version of the same model and we show how to price geometric and arithmetic Asian options. To this end, we derive semi-closed formulas for the geometric Asian options price and develop a computationally efficient simulation scheme for the price process, allowing to price the arithmetic counterparts using control variate technique. Finally, we propose a simple econometric experiment to document presence of jump clusters in commodity prices and evaluate the performances of the proposed simulation scheme on some parameter sets calibrated on real data.

Keywords

References

  1. Math Financ Econ. 2021;15(4):747-773 [PMID: 38624584]

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