Article
Version 1
This version is not peer-reviewed
Artificial Intelligence-Driven FinTech Valuation: A Scalable Multilayer Network Approach
Version 1
: Received: 29 August 2024 / Approved: 29 August 2024 / Online: 29 August 2024 (10:42:33 CEST)
How to cite: Moro-Visconti, R. Artificial Intelligence-Driven FinTech Valuation: A Scalable Multilayer Network Approach. Preprints 2024, 2024082143. https://doi.org/10.20944/preprints202408.2143.v1 Moro-Visconti, R. Artificial Intelligence-Driven FinTech Valuation: A Scalable Multilayer Network Approach. Preprints 2024, 2024082143. https://doi.org/10.20944/preprints202408.2143.v1
Abstract
The integration of Artificial Intelligence (AI) in the FinTech industry has substantially reshaped operational workflows, product innovation, and risk management, all of which influence company valuation. This study investigates the impact of AI-enhanced multilayer networks on FinTech valuation. Utilizing a novel scalable multilayer network model with AI-driven Copula Nodes, the research reveals that operational efficiency is a significant driver of market value. However, the findings emphasize the necessity of a balanced strategy that integrates AI across all operational layers, particularly in risk management and product innovation, to maximize valuation. This study offers a comprehensive framework that enhances understanding of AI’s complex role in FinTech valuation, providing critical insights for industry stakeholders.
Keywords
operational efficiency; risk management; product innovation; copula nodes; digitalization
Subject
Business, Economics and Management, Finance
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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