Key insights
- The author discusses the importance of analyzing second-order effects (impacts on suppliers, customers, competitors) when researching stocks, as the initial market reaction to news is often priced in. They highlight the challenges of manually mapping these relationships and mention building a tool to streamline the process. This suggests a potential edge for investors who can effectively identify and analyze these ripple effects, but the impact on the broader US market is limited.
One thing I’ve been struggling with when researching stocks:
By the time a major news event is obvious, the first move often feels priced in.
What matters more (at least to me) is the second layer: - suppliers - customers - competitors - adjacent players that might get pulled along
The problem is, I don’t have a clean way to explore that.
It usually turns into: - jumping between filings, news, and random tabs - trying to map relationships manually - missing things I probably should have seen
So I ended up building a small tool for myself that tries to map these relationships and make it easier to explore possible ripple effects.
Not trying to sell anything here. I’m more curious how others approach this.
A few things I’d love to understand:
- How do you personally think through second-order effects when researching a company? - Are there tools you use that actually do this well? - Or is this just something you accept as messy and manual?
If this is something people care about, I’m happy to share what I built and get more detailed feedback.