I'm sorry but nobody can keep all the different AUMs in their head. There are thousands (tens of thousands?) of funds in the world, I really can't be bothered to memorize all their assets. The headline was clearly written to elicit an emotional response, at the expense of information content.
> Losing $3.7bn trading stocks in a tech bull-market the likes of which we've never seen is...not good, regardless of the fund size.
It's not good, but again the dollar figure is completely meaningless: if the fund has an AUM of $100bln, this is a largely inconsequential -4%, which may compare unfavorably to their peer group and may elicit management changes down the line. For a $10 bln fund this is pretty much game over and they would be gearing for a fire sale of office equipment.
Fun fact, this is called "apophasis". https://en.wikipedia.org/wiki/Apophasis
I'm not attacking the OP (or is this another apophasis?), especially since they expand on what they mean later in their reply; I just like the word.
These days, I'm ok with any headline that isn't a complete fabrication or at best, completely misleading.
Even "actual informed people" won't necessarily know how much much any given fund has in AUM.
>Losing $3.7bn trading stocks in a tech bull-market the likes of which we've never seen is...not good, regardless of the fund size.
Actually, fund size is very relevant. Losing $3.7b as a $10b fund will put you in at least 37% drawdown which can put you past a board-controlled threshold at which trading might pause or a re-evaluation of the trading strategies might be triggered. Losing $3.7b on a $100b account is 3.7% which is business as usual really.
If you have a machine learning background this analogy might be useful: if you're building an algo trading strategy then training your model on absolute dollar returns data will be nonsense. What makes more sense is calculating the relative returns or even log-returns because then we're encoding an actual relative change.
They lost 4% of their unmanageable capital, big deal.
You might have this backwards. Actual informed people have a good idea of the scale that these funds are operating at, and can understand without context whether $3.7bn is a lot.
>For a $100 billion fund, losing $4 billion is painful, but not the end of the world. For a $10 billion fund, it is likely game over.
Losing $3.7bn trading stocks in a tech bull-market the likes of which we've never seen is...not good, regardless of the fund size.