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Robo-Advisor Methodologies

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Date
2021-02-26
Author
Wong, Eugene Lu Xian
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Abstract
The takeover of robo advisors in the classic field of investment management is an emerging trend across the industry. Today, most robo-advisors are build on the fundamental principles of the modern portfolio theory, with the objective in obtaining the optimal portfolio that provides the highest expected returns given the risk. Although robo-advisors are already widely known, the inner workings of each robo-advisor remains obscured. This paper will provide a deep insight in the methodologies behind the three major robo-advisors in the market, namely, Betterment, Schwab Intelligent Portfolio and Wealthfront, and will compare and contrast the robo-advisors through three factors, that is, asset allocation, portfolio rebalancing and monitoring.
Type
Report
Subject
robo-advisor
wealthfront
betterment
Schwab
portfolio allocation
Portfolio rebalancing
Portfolio monitoring
Permalink
https://hdl.handle.net/10161/22428
Citation
Wong, Eugene Lu Xian (2021). Robo-Advisor Methodologies. Retrieved from https://hdl.handle.net/10161/22428.
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