Dynamical Systems Models for Market Evolution: A Mechanistic Alternative to Autoregressive Methods
Fuente:
arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866911284234027008 |
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| author | Komarla, Aparna Hill, Max |
| author_facet | Komarla, Aparna Hill, Max |
| contents | We present a novel approach to modeling market dynamics using ordinary differential equations that explicitly incorporates product competitiveness and consumer behavior. Our framework treats market segments as interacting populations in a dynamical system analogous to predator-prey models, where competitive advantages drive market share transitions through mechanistic modeling of market flows including new product adoption, refresh cycles, and obsolescence dynamics. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_06778 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Dynamical Systems Models for Market Evolution: A Mechanistic Alternative to Autoregressive Methods Komarla, Aparna Hill, Max Dynamical Systems Applications We present a novel approach to modeling market dynamics using ordinary differential equations that explicitly incorporates product competitiveness and consumer behavior. Our framework treats market segments as interacting populations in a dynamical system analogous to predator-prey models, where competitive advantages drive market share transitions through mechanistic modeling of market flows including new product adoption, refresh cycles, and obsolescence dynamics. |
| title | Dynamical Systems Models for Market Evolution: A Mechanistic Alternative to Autoregressive Methods |
| topic | Dynamical Systems Applications |
| url | https://arxiv.org/abs/2510.06778 |