Practical analysis for investment professionals

fintech


The Future of AI and Big Data: Three Concepts

Andrew Lo and Ajay Agrawal explore how biases, regulations, and economics and wealth distribution will shape the future of fintech.

Blockchain and DeFI: Drivers of Change in Asset Management

“We’re still in the very early days of DeFi,” Mona El Isa says. “But this time is much more exciting. We’re seeing real usage and traction."

Book Review: The Technological Revolution in Financial Services

The book provides a roadmap on how the financial industry will evolve in response to three structural forces.

GameStop, Artificial Intelligence, Social Media, and the Future of Investing

The GameStop story represents a shift in the balance of power and with it the future of investing and social media.

Book Review: Machine Learning for Asset Managers

This short work will help readers appreciate the potential power of machine learning techniques.

Fraud and Deception Detection: Five Language Fingerprints

Dishonest companies tend to leave five textual fingerprints in their communications that differ from those of more truthful firms.

Fraud and Deception Detection: Text-Based Analysis

Technology can give investment pros a huge advantage in evaluating the truthfulness of company communications.

On-Demand Pay: Is It Here to Stay?

The pandemic has spurred the development of Employer Salary Advance Schemes (ESAS), or on-demand pay.

When to Use Big Data — and When Not To

The full promise of big data can only be realized when it is guided by thoughtful human expertise.



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