| Autor: |
Roland Meier, René Danzinger |
| Rok vydání: |
2022 |
| Zdroj: |
Big Data and Artificial Intelligence in Digital Finance ISBN: 9783030945893 |
| DOI: |
10.1007/978-3-030-94590-9_11 |
| Popis: |
This chapter presents a fintech-as-a-service (FaaS) solution, which enables financial advisors and wealth and asset managers to provide a “private banking-like service” to the general public. The chapter illustrates all the steps needed to structure this process as an online journey. The solution contains a full end-to-end process which advisors can use to support client advisory meetings and which can potentially also be used directly by the B2C user. To support the advisor accordingly and provide online advisory to the end customer, it is required that highly individual needs are taken into account and that truly individual and personalized portfolio proposals are generated. Traditional portfolio construction methods do not have the actual ability to take a wide range of individual preferences into account. Therefore, a new portfolio construction and optimization methodology based on “genetic algorithms” is being developed and presented in this chapter. The optimization process is built using artificial intelligence approaches. This allows optimization results to be explained based on the selected customer’s preferences. The solution is designed as an open framework, which enables additional fitness factors that represent user preferences in various dimensions to be added on a customized basis. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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