
My personal Substack
| Platform | Pricing | Freemium | Publishes | Daily | |
|---|---|---|---|---|---|
| Issues | 349 | Founded | a year ago | Last Issue | 6 days ago |
| Active | |||||

Investors increasingly use natural language processing (NLP) sentiment to extract signals from earnings calls.
Investors increasingly use natural language processing (NLP) sentiment to extract signals from earnings calls. David Pope, autho...
A new paper spans 155 years of U.S. market data to ask a deceptively simple question — and arrives at an uncomfortable answer.
‘Buy the dip.’ It’s perhaps the most repeated piece of advice in retail investing — a mantra that feels like com...
Behavioral finance research has established that investors dislike negative skewness because it exposes them to rare but severe losses, while they embrace positive skewness because it offers the chance of occasional outsized gains — the lot...
The idea that markets are driven only by cold, rational analysis is appealing, but real investors often bring biases into the process.
The idea that markets are driven only by cold, rational analysis is appealing, but real investors often...
Time series momentum (also known as trend following)—the tendency for an asset’s own past returns to predict its future returns—has become one of the most well-documented and widely exploited anomalies in finance.
Time series momentum (als...
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The writers behind this newsletter.
Authored or co-authored 18 books on investing with the latest being Enrich Your Future. I regularly review the findings of peer-reviewed financial journals, evaluating the outcomes, and letting investors know what to do with the information.
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