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Bibliographic Details
Main Author: Hicks, Will
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2406.20027
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author Hicks, Will
author_facet Hicks, Will
contents We discuss the role of information entropy on the behaviour of random processes, and how this might take effect in the dynamics of financial market prices. We then go on to show how the Open Quantum Systems approach can be used as a more flexible alternative to classical methods in terms of modelling the entropy gain of a random process. We start by describing an open quantum system that can be used to model the state of a financial market. We then go on to show how to represent an essentially classical diffusion in this framework. Finally, we show how by relaxing certain assumptions, one can generate interesting and essentially non-classical results, which are highlighted through numerical simulations.
format Preprint
id arxiv_https___arxiv_org_abs_2406_20027
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Information Entropy of the Financial Market: Modelling Random Processes Using Open Quantum Systems
Hicks, Will
Mathematical Finance
91-10
We discuss the role of information entropy on the behaviour of random processes, and how this might take effect in the dynamics of financial market prices. We then go on to show how the Open Quantum Systems approach can be used as a more flexible alternative to classical methods in terms of modelling the entropy gain of a random process. We start by describing an open quantum system that can be used to model the state of a financial market. We then go on to show how to represent an essentially classical diffusion in this framework. Finally, we show how by relaxing certain assumptions, one can generate interesting and essentially non-classical results, which are highlighted through numerical simulations.
title Information Entropy of the Financial Market: Modelling Random Processes Using Open Quantum Systems
topic Mathematical Finance
91-10
url https://arxiv.org/abs/2406.20027