Metodi matematici e tecnologie per la trasformazione digitale e le tokenizzazioni

Abstract

This work has a two-fold objective, achieved through two lines of research. The first, purely industrial, focuses on the technical-scientific difficulties related to collecting, tokenizing, and producing value from data generated during work activities. Specifically, the proposed solution utilizes a combination of IoT and Smart Contract technologies for data collection and the creation of work-based blockchain assets, while providing a pilot study for managing automatic business payments. This solution is at the forefront of the literature in terms of scalability, value creation, security, attention to regulation, and protection of the parties' rights. The second strand, purely scientific, focuses on applying Financial Computing to tokens generated by Smart Contracts during data collection, using mathematical methods that are inspired by the philosophy of Value Investing for asset evaluation. The aim is to generate business models and facilitate the measurement of financial risk of structured portfolios to support decision-making processes in contexts of info-uncertainty and info-incompleteness, where subjectivity and experience prevail. This assessment arises from extended probability theory, which allows reconstructing the occurrence of an event in contexts where information are missing, and is applicable to financial markets where decisions based on subjective and incomplete information are necessary. The extended probability theory and its application to financial instruments are validated through an experimentation on intangible assets that are part of the sports market. It is then used to build a model called the Token Evaluation System, which allows evaluating digital assets and facilitating risk management in a structured portfolio. In summary, this work presents a solid theoretical and methodological basis, combined with a practical demonstration through the realization of a Proof of Concept, demonstrating the proposed solution's effectiveness and ability to generate value for the industry. This work represents an important step forward in using blockchain technology and Financial Computing for risk assessment and management in

innovative financial markets, ensuring greater transparency, security, and automation in work and associated asset management, and opening up new opportunities for efficiency and economic growth. [edited by Author]