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Algorithmic Market Making in Spot Precious Metals

Author

Listed:
  • Alexander Barzykin

    (HSBC)

  • Philippe Bergault

    (Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres)

  • Olivier Guéant

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)

Abstract

The primary challenge of market making in spot precious metals is navigating the liquidity that is mainly provided by futures contracts. The Exchange for Physical (EFP) spread, which is the price difference between futures and spot, plays a pivotal role and exhibits multiple modes of relaxation corresponding to the diverse trading horizons of market participants. In this paper, we introduce a novel framework utilizing a nested Ornstein-Uhlenbeck process to model the EFP spread. We demonstrate the suitability of the framework for maximizing the expected P\&L of a market maker while minimizing inventory risk across both spot and futures. Using a computationally efficient technique to approximate the solution of the Hamilton-Jacobi-Bellman equation associated with the corresponding stochastic optimal control problem, our methodology facilitates strategy optimization on demand in near real-time, paving the way for advanced algorithmic market making that capitalizes on the co-integration properties intrinsic to the precious metals sector.

Suggested Citation

  • Alexander Barzykin & Philippe Bergault & Olivier Guéant, 2024. "Algorithmic Market Making in Spot Precious Metals," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-04577061, HAL.
    • Handle: RePEc:hal:cesptp:hal-04577061
    as

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    Cited by:

    1. Marcello Monga, 2024. "Automated Market Making and Decentralized Finance," Papers 2407.16885, arXiv.org.

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