Revolutionizing asset managment: the impact of FinTech and algorithmic innovations with a focus on audere invest in shaping modern financial strategies
Bernardini, Gabriel (A.A. 2023/2024) Revolutionizing asset managment: the impact of FinTech and algorithmic innovations with a focus on audere invest in shaping modern financial strategies. Tesi di Laurea in Digital finance, Luiss Guido Carli, relatore Paolo Bonolis, pp. 63. [Master's Degree Thesis]
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Abstract/Index
General introduction to FinTech, the past and the future. The disruption of traditional banking by fintech platforms. FinTech disruption. Cost dynamics. Blockchain. AI. Algorithmic trading and high frequency trading. Low-frequency trading: bridging traditional asset management and algorithmic innovation. Transforming asset management through technological integration. Evolution of investment strategies and the role of technology. From discretionary to non–discretionary management. Declining edge of active sector fund management. Evolving paradigms: the transition toward passive investment strategies. Demonstrating market inefficiencies through crises. The proliferation of EFTs and their market impact. The role of EFTs in exposing active management failures. The impact of ETFs on modern investment strategies. The rise of ETFs in a transforming global market. Technological developments and market dynamics. Algorithmic trading: impact and efficiency on market dynamics. Data driven decision making: the rise of quantitative approaches. Debunking AI myths in finance. Psychological and cultural dimensions of financial technology. Regulation and oversight in algorithmic trading. Regulatory framework and implementation. Testing and monitoring compliance. Challenges and future directions. Audere case study: the impact of active managed certificates in the financial sector. Algorithmic synergy: the Audere team and approach. Exploration of the model: gAintrader. Innovating financial architecture and the foundational services. Proving the transformation with Audere’s algorithm.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree program in Corporate Finance, English language (LM-77) |
| Chair: | Digital finance |
| Thesis Supervisor: | Bonolis, Paolo |
| Thesis Co-Supervisor: | Casertano, Gaetano |
| Academic Year: | 2023/2024 |
| Session: | Autumn |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 03 Jun 2025 13:25 |
| Last Modified: | 03 Jun 2025 13:25 |
| URI: | https://tesi.luiss.it/id/eprint/42250 |
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