Stock markets and quantum dynamics: a second quantized description
F. Bagarello

TL;DR
This paper models stock markets using quantum operator techniques, extending previous work to more realistic multi-trader scenarios and deriving approximate solutions for portfolio dynamics.
Contribution
It introduces a quantum-inspired model for stock markets with multiple traders and provides approximate solutions for portfolio evolution using stochastic limit and fixed point methods.
Findings
Derived approximate solutions for trader portfolios
Extended quantum market models to multiple traders
Applied stochastic limit and fixed point approximations
Abstract
In this paper we continue our descriptions of stock markets in terms of some non abelian operators which are used to describe the portfolio of the various traders and other {\em observable} quantities. After a first prototype model with only two traders, we discuss a more realistic model of market with an arbitrary number of traders. For both models we find approximated solutions for the time evolution of the portfolio of each trader. In particular, for the more realistic model, we use the {\em stochastic limit} approach and a {\em fixed point like} approximation.
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 · Quantum Mechanics and Applications · Stochastic processes and financial applications
