Valle, Arthur M. (2021) Using data science tools and techniques for creating and maintaining a passive investment portfolio. CITRENZ 2021 Conference, Wellington, New Zealand, 14-16 July 2021. (Unpublished)
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Abstract or Summary
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 |
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| Keywords that describe the item: | 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 |
| ID Code: | 7799 |
| Deposited By: | |
| Deposited On: | 15 Aug 2021 23:02 |
| Last Modified: | 15 Aug 2021 23:02 |
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