Artificial intelligence applied to finance: robo advisory: an industry specific analysis, comparing incumbents to startups in business model sustainability: MoneyFarm vs YellowAdvice
De Bernardis, Luca (A.A. 2019/2020) Artificial intelligence applied to finance: robo advisory: an industry specific analysis, comparing incumbents to startups in business model sustainability: MoneyFarm vs YellowAdvice. Tesi di Laurea in Financial markets and institutions, Luiss Guido Carli, relatore Stefano Di Colli, pp. 86. [Bachelor's Degree Thesis]
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Abstract/Index
The financial advisory process. Traditional patterns of financial advisory. Living the FinTech revolution. Industry products study: identification of macro categories. Analysis of robo-advisory industry and the role of artificial intelligence. Innovative traits from the traditional process. Business model sustainability: comparing incumbents companies vs startups using the YellowAdvice vs MoneyFarm case. Business model sustainability comparison: YellowAdvice vs MoneyFarm.
References
Bibliografia: pp. 81-86.
| Thesis Type: | Bachelor's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Bachelor's Degree Programs > Bachelor's Degree Program in Economics and Business, English language (L-33) |
| Chair: | Financial markets and institutions |
| Thesis Supervisor: | Di Colli, Stefano |
| Academic Year: | 2019/2020 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 19 Jan 2021 14:12 |
| Last Modified: | 19 Jan 2021 14:12 |
| URI: | https://tesi.luiss.it/id/eprint/28074 |
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