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СтаттяЗовнішня публікація🌐 українська

THEORETICAL BASIS FOR FINANCIAL SUPPORT OF INNOVATIVE PROJECTS WITH A HIGH LEVEL OF RISK

Svitlana BrikORCIDSvitlana KuznetsovaTetiana NazarovaIevgen Strokov

Анотація

Conceptual foundations for financing high-risk innovative projects based on the integration of financial theory, innovation theory, and risk management are substantiated. Specific characteristics of such projects are identified: information asymmetry between participants, J-curve cash flows, risk concentration at early stages, and the absence of tangible assets as collateral. Theoretical approaches to financing in the context of economic paradigm transformation are systematized. Current trends in the development of alternative capital attraction mechanisms based on digital technologies are analyzed: blockchain instruments (ICO, STO, IEO), crowdfunding platforms, smart contracts, and decentralized autonomous organizations. The specifics of forming a multilevel financing architecture using different types of financial instruments according to the stages of the innovation cycle are studied. The necessity of a comprehensive approach to financing high-risk innovative projects through the formation of a multilevel system that combines traditional and alternative sources of capital is proved. Strategic diversification of financial instruments allows balancing the interests of founders and investors, optimizing capital structure under uncertainty. Promising development directions are identified: formation of integrated financing ecosystems, transformation of state innovation support policy, institutionalization of meso-level structures, integration of ESG criteria, and development of artificial intelligence technologies to improve the accuracy of project potential assessment. The practical significance of the research lies in forming a conceptual basis for modernizing the financial support system for high-risk innovative projects through developing specialized financial instruments and risk assessment methods that account for information asymmetry and J-curve cash flows

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