Institutional investors have long struggled to manage their own technology, and widely fail at using advanced investment-related technologies to create competitive advantages. These technological disadvantages have had many negative ramifications for institutional investors, such as being...

Knowledge management in institutional investment suffers from many misconceptions and a dearth of actionable models for best practice. This is problematic in various ways, not least of which is how it holds back knowledge management from acting as a bridge to deployment of artificial...

As a leading branch of artificial intelligence, deep learning promises competitive differentiation and more efficient operations for financial institutions. But the geographic and social structure of the deep-learning community complicates access to its most cutting-edge research for many...

Alternative data (alt-data) is becoming an increasingly powerful tool that investors can use to incorporate sustainability considerations – e.g., environmental, social, and governance (ESG) factors – into their decision-making. But alt-data must be used responsibly. Failure to do so can...

As alternative data steadily become mainstream in finance, institutional investors may benefit from rethinking how they engage with alternative datasets. Specifically, they could gain from rethinking 1) alternative data's value proposition, 2) how they characterize alternative data, and 3) how...

"Organizational and regulatory norms have long compelled investors to rely on others to innovate for them, which has diluted the quality of innovations as well as the power investors wield relative to the intermediaries. As machine intelligence advances, both in accessibility and sophistication,...

Unbundling fees for financial services – e.g., separating payments for third-party research from commissions for trade execution – is in the long-term best interests of institutional asset owners: it can increase both transparency and alignment with intermediaries, such as external asset...

Much of the ambiguity that economic decision makers face may stem from scarce cognitive resources, such as limits on working-memory capacity. This paper constructs a simple model of bounded judgment based on the idea that an agent's maximum working-memory capacity is limited in two dimensions:...