On the multiplicity of the martingale condition: Spontaneous symmetry breaking in Quantum Finance
Ivan Arraut, Alan Au, Alan Ching-biu Tse

TL;DR
This paper explores the martingale condition in financial markets through the lens of spontaneous symmetry breaking, revealing deep connections between symmetry properties, vacuum states, and information flow in quantum finance models.
Contribution
It introduces a Hamiltonian framework for the martingale condition, demonstrating spontaneous symmetry breaking in the Merton-Garman equation and extending the martingale condition to include volatility.
Findings
Martingale condition as a vacuum state in Hamiltonian form
Spontaneous symmetry breaking occurs in price and volatility changes
Extended martingale condition includes volatility dependence
Abstract
We demonstrate that the martingale condition in the stock market can be interpreted as a vacuum condition when we express the financial equations in the Hamiltonian form. We then show that the symmetry under the changes of the prices is spontaneously broken in general and the symmetry under changes in the volatility, for the case of the Merton-Garman (MG) equation, is also spontaneously broken. This reproduces a vacuum degeneracy for the system. In this way, we find the conditions under which, the martingale condition can be considered to be a non-degenerate vacuum. This gives us a surprising connection between spontaneous symmetry breaking and the flow of information through the boundaries for the financial systems. Subsequently, we find an extended martingale condition for the MG equation, depending not only prices but also on the volatility and finally, we show what happens if we…
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
TopicsComplex Systems and Time Series Analysis · Stochastic processes and financial applications · Financial Markets and Investment Strategies
