I mean it's like, here's my "insider tip": FAANGs saw usage and revenue growth this quarter. Ok, now are you gonna make money off this secret info?
I mean it's like, here's my "insider tip": FAANGs saw usage and revenue growth this quarter. Ok, now are you gonna make money off this secret info?
https://www.bloomberg.com/opinion/authors/ARbTQlRLRjE/matthe...
The example quote you give does happen of course but you tend to remember those cases more than the more common beats-expectations-stock-rises cases precisely because they feel more unexpected.
Like Netflix beating revenue and earnings expectations, and even beating new subscriber number expectations, but subscriber growth in a key market slowing much more than anticipated.
If you know all these numbers, you can screen them for potential negative catalysts that might counteract the positive effects of expectation beats. If you find none, you can relatively safely assume that the stock price will probably pop after release.
So if you have subscriber growth numbers - you look at where the analysts get something wrong as part of their calculation. Maybe they think there will only be 1M new subscribers, but in reality there are 10 million.
Looking into it, the only thing we could figure is that we were leaking an incrementing integer as part of our manufacturing process and the customer was apparently willing to buy small orders to get access to that ID (and thereby estimate order volumes).
We changed the process to not leak incrementing IDs and the orders stopped after a short time.
There was part of me that thought about fixing the situation by first adding an extra ~25% bump to the mid-quarter and ~35% to next start of quarter (by incrementing the ID column with a patch). We obviously didn’t, but it was fun to contemplate.
I actually admired the lateral thinking if it was a hedge fund doing research.
“Usage and revenue up” is already priced in, if that’s the expectation. But “usage and revenue up much more/less than expected” will have a reasonably consistent effect on stock price.
In other words, this might be a method that only worked with Netflix stock in that timeframe where sub growth and stock price is strongly correclated.
It’d be interesting to look at correlation of a rolling average with earnings call metrics.