Modelling the approximate "Blow Out Portfolio" of 9 blocks sold Friday.
Blue is the portfolio value if long-only (in USD mm).
Greenish is the portfolio vs a 100% NDX hedge (as of 31Dec19).
Red is 15 day realized EWMA (0.94) volatility.
Delta-neutral portfolio volatility (against NDX) was at the high end of its range (averaging 24+%ytd) AND the Basket performance vs NDX was super strong.
The long-only portfolio was up 62.4%ytd as of 19 Mar.
A delta-neutral (daily re-hedge vs NDX) was +61.4%ytd to 19 Mar.
The question is... were there warning signs?
The answer: Being blunt, yes.
A tech-y basket hedged delta-neutral to a tech-y index was up 61.4%ytd against 24.6% vol which annualises out to an information ratio which should boggle the mind (61.4% rtn in 78d - do the math).
Since end-Sep, on a LO basis, there had only been 35 down days (out of 117) and only 18 days where the rolling 5-day P&L had been negative. Virtu? I understand. Basically long and levered while the market is undergoing volatility from rates and growth/value/mo rotation? Eh?
And all nine names down in one day? That's rare. 8 times in 2019. Twice in Jan-Feb 2020. Five times Mar2020.
Once in May, twice in June, once in early August, then not once since then.
That's unusual too.
As of end-Feb, EWMAvol (20d, 0.94) was nearly twice the average of 2019-2020.
That should *also* have been a warning sign.
But ride your winners, right?
Yes, but...
when your LO basket skyrockets, and intracorrelation ↑ as P&L ↑, you expect the same on the way down.
A risk manager might question what the impact on P&L of *getting* long had been. Surely if one takes a huge hit getting OUT of $15bn of positions - many near 5% -, getting in was not done without... uh.... impact.
And if you are LEVERED long, one single Terrible, Horrible, No Good, Very Bad Day could have a bad effect.
The problem is correlation, leverage, and size.
The numbers below are for a long-only portfolio which is not levered at all.
This all went bad on Wednesday.
If the seller had been long US$1bn instead of US$15bn, even levered it would have been a cakewalk to unwind.
Levered 2:1 and that first down day on Tuesday was -7.2%.
Doable.
After all, $631mm down when you were up $2bn in the previous 10 days is fine.
The opening print the next day was bad. And by end of day, at 2:1 leverage, their fate was effectively sealed. That would have triggered Very Large Margin Calls.
Even if they had been hedged against NDX, didn't matter.
(I was gonna use a different gif from Goodfellas but the curse word doesn't show up).
For people with some history in Asia, there was a fund blowup around 2003-ish which took just a few days. Was similarly Very Concentrated, and Levered, and there had been considerable ‘market impact’ which *coincidentally* had produced a lot of PnL just before the blow-up.
To be clear beyond doubt, this analysis is ONLY based on the 9 listed blocks. I expect the seller had other positions (probably in other time zones) and their investment performance may have been substantially different than shown. Details REALLY matter. But It is one model.
And to further add to this, MS had blocks in some of the same names through the day. Total of $8bn (+ $10.5bn from GS). Given how much capital the FO reportedly started the year with, and the positions, they would have built up more capital and had more than that in positions
If indeed they started forcing themselves out hard on these 9 stocks on Wednesday. The fact that we haven’t seen those suggests they were pre-placed, liquidated in the general hubbub, or there are other shoes to drop.
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I would have tried that recipe but I was in want of every single ingredient listed except for a slab of rump steak, an onion, and celery so my own version this even used balsamico + honey instead of treacle. The sauce was the sous vide juices, with a butter/wine reduction (syrah)
I read the Ark model on TSLA.
One thing one has to give them credit for is they aren’t shy about their assumptions.
After 11 yrs of car-making, they made 500k cars in 2020. The ‘bear case’ for 2025 is 5mm units. Assuming capacity grows 1mm cars a year from 2021-2025 that gets
them to their bear case of ~11mm cars on the road by end 2024 and 13mm on average in 2025.
The bear case assumes 40% of all Teslas sold will be on a human ride-hailing platform. That’s 5.4 million human-driven ride-hailing Teslas on the road in 2025.
The bull case is
of course, more aggressive at 10mm units sold in 2025, suggesting avg 22mm TSLAs on the road in 2025, 13.2mm of which are used for human-driven ride-hailing, and there is a 50% chance that 13.2mm is only 8.8mm with the *other* 13.2mm used as robotaxis.
Carson Block of @muddywatersre writing in the FT lays the blame of stonk gyrations like GameStop (sub $20 on 12 Jan, up 18-fold in 10 trading days) squarely on low rates and passive investing.
This is Hogwash, Blatherskite, Buncombe, and Taradiddle.
That fall into the close on Tesla is classic ‘big name inclusion trade unwind’ pattern - people say “let’s not leave it all for the close, just in case” and put their ‘sell ahead of the close vs sell at the close’ ratio higher than the buyers do.
Now I’ve jinxed that. 🤓
Closing cross on S&P funding trade was about 8-9% larger than the S&P Global model would have suggested (I had it a trifle larger than even that but indexers might trade the tail. If they trade the tail on both sides, they’re already screwed going into the weekend b/c TSLA AH up.
This is a take. The thread is worth reading for the take.
I expect it overstates things.
Couple of problems.
1) while vanna can drive moves, I expect it is more gamma curvature and density than vol (in real trader terms, vanna of one-week options is meaningless).
2) if this were the case, it would be the case for other stocks too, but TSLA did not have the highest realized volatility of S&P500 (or S&P+TSLA) for the 52wks to 13Nov announcement. It's #21. Sure airlines and oilcos and cruise companies were on the list. But banks are too.
3) What really drives that number - volatility - over time is volume, and volume is best understood by how much of a company's float is traded every day.
Every time someone buys/sells S&P500 and dealers/arbitrageurs have to buy/sell the shares, increasing intra-correlation