Decode Academic Finance into Actionable Investment Insights
Each week, we translate top-tier finance research into plain English — revealing evidence-based ideas that matter to professional investors, analysts, and CIOs.
Previous Issues
This week: why newly classified growth stocks underperform so badly they double the value premium, how embedded credit risk can cut PE IRRs by 500+ bps, and whether management tone during earnings calls actually predicts future returns.
This week: a macro regime–aware framework that doubles returns, how to nearly double momentum’s Sharpe ratio by removing unpriced risk, and what 13F data still reveals about true manager skill.
Active managers’ edge has collapsed since 2010, but research shows where alpha still hides, from R&D intensity premiums to credit spread signals that lead equity.
A century of data shows innovation hype predicts lower returns, AI equities are quietly tied to private credit risk, and Fed surprises still drive tradeable post-announcement drifts.
New research shows how integrating portfolio optimization into model training boosts returns without raising volatility, why IRR often misleads, and when corporate hedging truly adds shareholder value.
New research exposes why most Information Ratio math overstates skill, how LLMs quietly inject behavioral bias into analysis, and when analyst disagreement actually signals downside.