Algorithmic Market AI: financial services

In this study, relating to financial market risk scenarios, three different points of view are offered. Initially, all the elements of the observational financial scenario are described by requirements, identifying a gold framework where the financial requirements of specification and analysis requirements are catalogued, and then the corresponding standard theoretical model is described and formalized, also describing it from several points of view. The financial architectural design, the formal representation, and the risk data estimation identify the red framework, the quantitative analysis framework. The financial implementation phases of the AI service are described identifying the blue framework, the financial engineering framework.

About the Author

The author Giulio Carlone is Adjunct Professor in finance at University Ca Foscari of Venice in Italy. ORCID Membership ID: 0000-0002-6923-1726 Web of Science researcher ID: LKL-0392-2024 Has a financial certification as financial analyst from Bank Intesa Sanpaolo of Italy. Has a PhD in finance, and a master’s degree in computer science from the University of Italy. He was a member of the Software System Engineering staff of the Department of Computer Science at University College London. He has practical experience in technical software engineering and quantitative finance engineering in the commercial sector. His research interests include the financial implementation and financial design of plans and projects using the software requirement specifications for software implementations, the requirements analysis for software implementations, and the architectural design.