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Using data science tools and techniques for creating and maintaining a passive investment portfolio


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In this workshop, we will explore how data science tools and techniques can be used to build and maintain an ETF-based investment portfolio. You will also understand what are exchange traded funds (ETFs) and what is a passive investment portfolio.
Data science techniques such as confidence intervals play an important role when comparing and selecting ETFs that are statistically capable to perform according to the investor's expected returns.
Data Science tools also help to track and periodically rebalance the portfolio.

Item Type: Item presented at a conference, workshop or other event which was not published in the proceedings
Uncontrolled Keywords: data science, passive investment, investing
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Schools > Centre for Business, Information Technology and Enterprise > School of Information Technology
Depositing User: Arthur Do Valle
Date Deposited: 15 Aug 2021 23:02
Last Modified: 21 Jul 2023 09:21

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