Design of an Experiment to Test Quantum Probabilistic Behavior of the Financial market
Andrei Khrennikov

TL;DR
This paper proposes a statistical experiment to test whether financial markets exhibit quantum-like probabilistic behavior, challenging classical models and potentially indicating nonclassical, quantum probability effects in market dynamics.
Contribution
It introduces a rigorous statistical test based on the violation of the total probability formula to detect quantum-like behavior in financial markets.
Findings
Designed a test for quantum probabilistic behavior in markets
Proposes violation of total probability as an indicator of nonclassicality
Provides a framework for empirical validation of quantum finance models
Abstract
The recent crash demonstrated (once again) that the description of the financial market by present financial mathematics cannot be considered as totally satisfactory. We remind that nowadays financial mathematics is heavily based on the use of random variables and stochastic processes which are described by Kolmogorov's measure-theoretic model for probability ("classical probabilistic model"). I speculate that the present financial crises is a sign (a kind of experiment to test validity of classical probability theory at the financial market) that the use of this model in finances should be either totally rejected or at least completed. One of the best candidates for a new probabilistic financial model is quantum probability or its generalizations, so to say quantum-like (QL) models. Speculations that the financial market may be nonclassical have been present in scientific literature…
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
TopicsQuantum Mechanics and Applications · Statistical Mechanics and Entropy · Complex Systems and Time Series Analysis
