https://doi.org/10.1140/epjs/s11734-025-01748-z
Review
Synergetic traits of financial markets: past, present and future
Stanford University, Stanford, CA, USA
a lborland@stanford.edu, lisamarinaborland@gmail.com
Received:
15
April
2025
Accepted:
6
June
2025
Published online:
18
July
2025
We review several insightful and successful financial and economic models ranging from Lotka Volterra equations to agent based models that all have ties to concepts from Haken’s Synergetics. Statistical anomalies of financial time-series are discussed, such as fat-tails and the long-range memory of volatility. Additionally, cross-sectional behavior and a model of stock returns during periods where the market enters into phases of heightened uncertainty or panic, such as under the Great Financial Crisis (GFC) of 2008-2009, at the onset of the Covid pandemic in 2020, and the current tariff and trade-war uncertainty are discussed. Finally, we briefly describe how Synergetics combined with agent based models and AI could lead to even more powerful modeling frameworks in the future.
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© The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2025
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
