What is it about?
This paper explores how roboadvisors—automated financial platforms that manage investments using algorithms—are changing the way people invest. These platforms use a strategy called Modern Portfolio Theory (MPT) to build passive, diversified portfolios that aim to minimize risk and maximize returns. The study reveals how roboadvisors discipline users by encouraging them to “set it and forget it,” reducing the emotional and cognitive mistakes that often lead investors astray. The research highlights how roboadvisors target lay investors, including people with little financial knowledge or limited wealth, and turn them into passive participants in the market. By automating investment decisions and discouraging tinkering, roboadvisors help users achieve better outcomes. However, this reliance on algorithms raises important questions about control, trust, and the broader impact of passive investing on financial markets.
Featured Image
Photo by Austin Distel on Unsplash
Why is it important?
This paper is unique because it goes beyond the technical aspects of roboadvisors to examine their social and behavioral implications. It shows how these platforms don’t just manage money—they actively shape the behavior and mindset of their users. By analyzing how roboadvisors use technology to enforce rationality and discipline, the study connects finance with broader sociological questions about agency and governance. It’s timely because roboadvisors-and fintech more broadly-are growing rapidly, especially among younger and less affluent populations. As they become a dominant force in personal finance, understanding their influence on investors and markets is crucial for regulators, financial professionals, and everyday users.
Perspectives
Read the Original
This page is a summary of: The active construction of passive investors: roboadvisors and algorithmic ‘low-finance’, Socio-Economic Review, October 2019, Oxford University Press (OUP),
DOI: 10.1093/ser/mwz046.
You can read the full text:
Contributors
The following have contributed to this page