New arXiv on rough volatility in commodities
A recent arXiv paper by Roberto Daluiso et al. explores rough volatility dynamics in commodity markets — directly relevant for derivatives pricing and term‑structure risk modeling in quant trading. The work offers a potential route to improve commodity option models used in cross‑asset hedging. (x.com)
ArXiv submission arXiv:2603.26514 titled "Rough volatility dynamics in commodity markets" was posted on 27 March 2026 and lists Roberto Daluiso, Héctor Folgar‑Cameán, Andrea Pallavicini and Carlos Vázquez as authors. (arxiv.org) The paper formalizes a general rough‑volatility framework for commodities that builds an automatic calibration of the initial futures term‑structure and explicitly models the Samuelson effect. (arxiv.org) After the theoretical development the authors particularise their framework to the rough Bergomi (rBergomi) and rough Heston (rHeston) specifications and provide mathematical justification for those special cases. (arxiv.org) Calibration and implementation sections describe simulation and calibration schemes and include numerical experiments calibrated to vanilla futures options on WTI Crude Oil. (ideas.repec.org) The PDF shows a dedicated numerical section with time‑dependent correlation analysis and references concrete calibration outputs and example dates in the text (the document's internal calibration notes reference "Calibration results: 4th June 2025"). (arxiv.org) Author affiliations list Intesa Sanpaolo Financial Engineering and Universidade da Coruña, and the paper includes a footnote stating the opinions are those of the authors and do not represent their employers. (arxiv.org)
