Benn Eifert 🥷🏴‍☠️ Profile picture
Sep 21, 2022 14 tweets 3 min read Read on X
ok this is a good one and self contained enough to do on a recovery pton ride.

the tl;dr is that large sophisticated prop firms and hedge funds running volatility arbitrage strategies in listed options effectively look like market makers in how they execute and manage positions.
most investors (individual or retail) think of options as something you trade by pulling one up on a screen and entering a limit DMA order for.

SPX Dec22 3800 call, ok that's 40 @ 41, where do you want to bid? 40.2?

market got crushed, new price 39.2 @ 40.2, filled offerside.
sophisticated arb execution does not work like that.

sticking with the very simple example of a single option line (which generally would not be the case), order instructions to an execution system would look more like:
- buy up to 250k vega of this line
- post only (no take)
- show a randomized small bid size between 10k and 15k vega at a time
- pay no more than 28 vol
- pay no more than -0.02 vega below the real time volatility surface at any time
- hedge delta on each fill in real time
plus a bunch of other customized risk limits and safeguards. under the hood, the robots send DMA child orders to the executing broker (security, size, dollar price) and constantly cancel and replace those orders in low latency as spot and vol move
that order shows up in the market like a tightening on that line relative to the current market makers, for small size. the arb manager becomes the market maker on the bid side, better bid than C*tadel because the arb actually wants the position, not just the spread.
then over time as other market participants want to sell that option, they sell it to the arb manager, at a slightly better price than they would have gotten from the pure market makers. the arb accumulates the position slowly and passively
in general, a vol arb manager rarely has one line to execute. they might be working into a large SPX calendar position, long June23-Dec23 short Nov22-Dec22, across a wide range of strikes. the whole basket would be sized to desired long and short vega...
and working as described above, floating to buy below the surface and sell above the surface, replacing/improving the pure market makers on this whole part of the surface, in small randomized sizes.
that kind of execution would be running with tight risk limits on net delta, net tenor-adjusted vega, etc to tightly manage any legging risk. if you get lifted on a chunk of shorts, the sell orders shut down until the buys catch up, etc.
that way they work into a large complex position that they want, sourcing liquidity from wherever it comes patiently over time, and working in a balanced way that is never directionally exposed to sudden market moves
same thing with dispersion for example- might be working ten thousand line items simultaneously, buying every option on the list that someone in the market sells, and vice versa, staying tightly constrained to the index weights and vega balanced between longs ans shorts
so when ppl ask me Benn, why don't you trade options in your PA, this is why I just laugh and shrug

its like asking a Toyota exec why don't she build your own cars at home, she knows about cars, doesnt sound too hard, right
very large firms and very specialized prop firms might build every piece of this themselves. many others code their specific logic on top of third party platform like spiderrock which provides the low latency market access part as a service

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More from @bennpeifert

Dec 6, 2022
To briefly reiterate, on derivatives notional and counterparty risk.

Over the counter (OTC) derivatives are traded bilaterally between two large counterparties, under legal contracts called ISDAs.

Positions are marked daily and cash flows exchanged. No IOU's.

>>
If an insurance company has a billion dollars of notional on an interest rate swap with a bank, the value of that contract changes as interest rates change.

If the position marks $1mm in the insurance company's favor, the bank wires them $1mm.

>>
If the bank goes bankrupt, the insurance company's exposure to the bank is only however much mark-to-market PNL they earn on the swap *after* bankruptcy. Which could be positive or negative.

>>
Read 8 tweets
Dec 5, 2022
Looks like we are doing Get Excited About Gross Derivatives Notionals" today again.

Unfortunately, because of a Bank for International Settlements report. These people should know about things.

A few notes and threads linked below.
Read 7 tweets
Dec 2, 2022
OK. Follow-up story about the transformation of investment bank risk-taking after Dodd-Frank and Basel III, and the rise of toxic Alternative Risk Transfer programs in derivatives. 💥

1
Before the Great Financial Crisis of 2008, the major investment banks used to be the center of aggressive risk-taking and speculation in financial markets.

They operated as dealers and market-makers, but also as massive proprietary risk-takers.

2
The securities divisions of major banks had proprietary trading desks that operated like hedge funds, using the bank's balance sheet to place bets. Many of today's hedge fund managers had their start on a bank's prop desk (present company included).

3
Read 30 tweets
Nov 28, 2022
As promised, a story about how derivatives markets work to transform risk but inevitably tend towards speculative excess.

The context: popular Asian and European structured investment products, exotic derivatives dealers, and enigmatic corridor variance swaps.

(1/n)
First off, I talk about some of this in two episodes of Bloomberg's Odd Lots, if you want more detail they might be worth a listen (2/n)

podcasts.apple.com/us/podcast/odd…

podcasts.apple.com/us/podcast/odd…
OK. Structured products are typically sold by wealth managers and brokers to high net worth and retail clients. They are issued and risk-managed by the exotic derivatives desks ar investment banks. These products were historically much more popular in Europe and Asia.

(3/n)
Read 30 tweets
Nov 19, 2022
a theme that has come up a great deal this year is the perception that equity index tail hedges "aren't working"

important thing to keep in mind here is the robustness of a specific strategy to the path and speed of a market selloff

tail hedge or "flash crash hedge" ?
stocks experienced a slow, choppy grind down, S&P down mid twenties percent at trough, analogous to the feel of the tech bust of 2002-03 but much smaller

last few market stress periods were much faster and more explosive - March 2020 we saw S&P down 34% in three weeks
there is nothing inherent in markets that means equities only crash in a hurry. look at the historical data; long grinding bear markets are a thing

also think about why the tech bust analogy is not a coincidence
Read 13 tweets
Nov 18, 2022
right. if twitter goes down, but you have done your duty and are on my list for the live Zoom event bc you donated to JDRF or pre-ordered Dr. Watson's book, you can email me thru our website, just reference your twitter handle
qvradvisors.com
Read 5 tweets

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