Paper: arXiv 2507.18395
Authors: Eckhard Platen
Abstract
The paper derives the dynamics of a financial market from basic mathematical principles. It models the market dynamics using independent stationary scalar diffusions, assumes the existence of its growth optimal portfolio (GOP), interprets the market as a communication system, and minimizes, in an information-theoretical sense, the joint information of the risk-neutral pricing measure with respect to the real-world probability measure. In this information-minimizing market, its basic independent securities, their sums, minimum variance portfolio, and GOP, as well as the GOP of the entire market, represent squared radial Ornstein-Uhlenbeck processes with additivity and self-similarity properties.
Complexity vs Empirical Score
- Math Complexity: 8.5/10
- Empirical Rigor: 2.5/10
- Quadrant: Lab Rats — theoretically deep, empirically untested
Why this score: The paper provides a highly sophisticated, first-principles mathematical derivation of financial market dynamics using information theory, stochastic differential equations, and Lie-group symmetries. However, it is entirely theoretical with minimal empirical testing or data validation, leaving backtesting and practical implementation to future research.
Research Flowchart
flowchart TD
A[Goal: Derive market dynamics from basic mathematical & info-theory principles] --> B[Inputs: Independent stationary scalar diffusions & existence of GOP]
B --> C[Method: Model market as a communication system]
C --> D[Compute: Minimize joint info of risk-neutral measure vs real-world measure]
D --> E[Outcome: Securities, portfolios & GOP form squared radial Ornstein-Uhlenbeck processes]
E --> F[Key Properties: Additivity & self-similarity in multi-asset dynamics]
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- A Benchmark Model for Financial Markets (2001)
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- Benchmark model with intensity based jumps (2002)
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- A class of term structure benchmark models (2002)
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3 of 2344 cited works are in the corpus; resolved via arXiv source bundles, Semantic Scholar and OpenAlex. Corpus-wide: 2518 linked papers.