YUCT Appendix F (Revised): Fractal Dynamics of Economic Dictionaries and the Coordination Theory of Money — A Theoretical Framework for Exchange Rates, Currency Zones, and Self‑Organised Economic Boundaries
(11) This appendix presents a fundamental revision of the YUCT approach to economics. We abandon all previous attempts at direct empirical fitting of GDP or market volatility to the universal exponent β = 0.67 and instead develop a first‑principles theoretical framework grounded in the ontology of coordination. The economy is modelled as a network of interacting economic dictionaries (firms, sectors, nations), each characterised by a coordination efficiency K_eff. The boundary between any two dictionaries is shown to exhibit fractal dynamics analogous to the Mandelbrot set: self‑similar, complex, and governed by the universal error law ε = κ_c α K_eff^(−β). Money is identified as the coordination coefficient that regulates activation across dictionary boundaries; exchange rates are therefore determined by the ratio of coordination efficiencies. The framework yields several quantitative, falsifiable predictions: (i) the Hurst exponent of high‑frequency exchange rate series should cluster near H ≈ 1/β ≈ 1.5 on long time scales; (ii) the multifractal spectrum of financial returns should exhibit a left‑sided asymmetry with a universal shape determined by the primary algebraic loop; (iii) the volatility σ of an exchange rate scales with the coordination gap ΔK_eff between the two dictionaries as σ ∝ (ΔK_eff)^(−0.67). No empirical fitting is performed; all predictions are stated in a form that can be tested once reliable proxies for K_eff in economic systems become available. This work transforms YUCT economics from a collection of questionable correlations into a rigorous, falsifiable research programme.
Authors
- Alexey V. Yakushev (ORCID: https://orcid.org/0009-0008-0938-3032)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-07-30
- DOI
- https://doi.org/10.5281/zenodo.21710018
- Primary Topic
- Complex Systems and Time Series Analysis
- Type
- preprint