LOGICAL FRAMEWORK METHOD FOR CONDUCTING PRE- AND POST-MONEY VALUATIONS OF EQUITY CROWDFUNDED COMPANIES LEVERAGING AI
LOGICAL FRAMEWORK METHOD FOR CONDUCTING PRE- AND POST-MONEY VALUATIONS OF EQUITY CROWDFUNDED COMPANIES LEVERAGING AI

Author(s): Krasimir Petkov
Subject(s): Economy, Business Economy / Management, Marketing / Advertising, Socio-Economic Research
Published by: Национално издателство за образование и наука „Аз-буки“
Keywords: Equity Crowdfunding; Company Valuation; AI in Finance; CAPM, DCF/FCFE
Summary/Abstract: The paper develops an artificial intelligence-driven framework that provides an enhanced approach to both pre- and post-money valuations of equity crowdfunding companies. The study integrates generative AI with DCF and CAPM models and thus enables the assessment of a comparative analysis between the initial pre-money and the post-campaign valuation of equity crowdfunded business ventures. The research results in a pilot case study testing the suggested logical framework method which points toward the differences in this respect, showcasing the potential for AI in enhancing investors’ capacity to make better decisions.

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