Benn Eifert 🥷🏴‍☠️ Profile picture
Jan 11, 2025 28 tweets 5 min read Read on X
Okay, this is a good one. Let's talk about volatility risk premium, volatility term structure, volatility spikes, and "the obvious thing often isn't right" (1/?)
Among casual watchers of volatility markets, the most common sentiment is "sell volatility when it's high" or "sell volatility when it spikes". This is oversimplified at best and dangerous and wrong at worst
Fact that you should confirm for yourself with backtests if you are at all serious about trading: there is no reliable empirical relationship between the absolute level of equity index implied volatility and the PNL of buying or selling it. None at all.
Obviously you could come up with extremely over-fit rules that seem to work in-sample, but just make a scatterplot of initial level of implied volatility and subsequent PNL of selling straddles or strangles or VIX futures and draw a line through the cloud of dots, no relationship
When you are trading volatility, you have to think about volatility risk premium, how much is priced in, how you can measure that
One thing you can do is look for where there are persistent differences in realized volatility as compared to implied volatility. (Don't compare S&P realized volatility to VIX, VIX is a variance swap level not an at the money vol, look for my tweets about that)
But as Jessica suggests, another important thing you can look at is volatility term structure. When trading VIX futures this is the single most important thing to pay attention to.
Volatility term structure means the shape of the futures curve, the level of implied volatility by maturity. Is it upward sloping (contango) or backward sloping (backwardation)? How steep is it?
If you buy a second month VIX future, over time all else equal it will roll down the term structure towards where the front month future is. This is the same as in commodities, fixed income and currencies: it is *carry*. Heard of FX carry trades? It's the same thing.
When there is a lot of risk premium in the volatility term structure, when there are a lot of buyers of VIX futures and ETNs, it steepens out the term structure and makes it more expensive to hold a long position in VIX futures
Vice versa, when there is a lot of selling of VIX futures and betting on lower volatility in the future, it flattens or inverts the VIX term structure, making the cost of carry of holding a short position negative (you pay to be short volatility)
The slope of the term structure is empirically a much better signal for how a volatility trade will perform, especially on a market neutral basis (e.g. if you think about a long volatility position beta hedged with long equity). Steeper term structure --> worse long vol returns
Counterintuitively to many non-specialists dabbling in volatility, a volatility spike that brings about steep backwardation in the volatility term structure can be the worst possible time to short volatility
People think "well, volatility spiked, and it's mean reverting, it will eventually go down." Yes, of course, the market knows that and is aggressively pricing in mean reversion. If you short VIX futures, you're betting that volatility mean reverts faster than the market is pricing
And maybe it will! But the market is not dumb, and volatility spikes often persist longer than you think or get worse, and short volatility positions often get crowded and have to blow out before things get resolved
Late February / early March 2020 was a great example of that. VIX hit 40, everyone piled in to short March VIX futures, creating a 14 point differential between VIX spot and the March futures. Volatility had to collapse in record speed for you to make money on a short Image
Owning a long position paid you a tremendous carry, in order to be long volatility during a time when the world was very uncertain. And then eventually those March futures hit 80+. Selling them when VIX hit 40 was the one of the worst volatility trades of all time
Allianz Structured Alpha shorted a ton of the March VIX calls by the way, in a double-or-nothing effort to make back its losses on short S&P option structures where they lied about buying back the downside tail. That's one of the flows that made the March futures so cheap
There is a strong relationship on average between the level of implied volatility and the shape of the term structure; higher equity index implied volatility tends to mean a flatter or inverted term structure, low volatility tends to mean steeper
This is also true (or even more so) for recent changes in implied volatility: recent spikes in implied volatility tend to flatten the term structure
However, this is only a correlation, and there is lots of noise around it. There are persistent regimes with relatively high or relatively low risk premium, arising from large structural patterns in volatility buying or selling flows
Implied volatility term structures can have extremely different degrees of steepness and base level, even when in contango. Note the blue line from 2012, high and very steep (very high risk premium), versus purple in early 2018, low and very flat (~negative risk premium) Image
2012 were the glory days of short VIX trades, after retail investors and RIAs started piling into VXX and TVIX, TVIX suspended creation/redemption, you could just buy put options on VIX or VXX and print money with abandon, 4 points of term structure between VIX and UX1
In contrast, early 2018 was a massive volatility crush fueled by non-specialist volatility traders piling into XIV and similar products. They didn't realize they were short volatility at record levels and getting paid almost nothing for it (no term structure rolldown)
Takeaways:

1) shorting volatility bc its high or buying it bc its low is naive

2) volatility term structure (absolute, and also relative to the level of volatility) is much more interesting as a signal of risk premium than the level of volatility

3) don't trade volatility
Waiting for "volatility and derivatives in bio. deeply unserious opinion"
Thank you for listening, if you liked your service this morning please do your patriotic duty and buy your copy of Lessons in Birdwatching so that Honey can afford to buy the new Elden Ring coming out this year Image

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More from @bennpeifert

May 27
Thread on risk management in general and in derivatives relative value in particular, because this generated a lot of interesting discussion. (1/n)
First and foremost in derivatives, we think about stress tests -- how the portfolio might perform in a wide range of market moves, both broad-based (e.g. equities down 20%) and with respect to basis risks held in the book.
Slide risk with respect to the major risk markets affecting a portfolio is central. For example, moving equities up and down while shifting volatility surfaces in a variety of different ways (more or less vol response, more or less term structure inversion, etc). Image
Read 27 tweets
May 23
Good morning my loves, happy Saturday. Sorry I've been quiet, obviously been busy, but thought it'd be nice to give you all the details on the multi-strategy absolute return program that experienced the 28% drawdown this year. (1/n)
QVR has several different parts of its business, including a highly customizable solutions business, a Convexity Alpha product designed to compete with hedged equity products like JP Morgan's hedged equity fund (the infamous collar), and a nascent crypto derivatives business
This program was a recently (April 2025) reorganized version of our longtime flagship absolute return strategy that launched in 2017. That product made +78% in 2020 and is designed as a market-neutral strategy taking advantage of dislocations in derivatives markets.
Read 33 tweets
Dec 27, 2025
Let me explain in a little more detail what a martingale strategy is and why it's particularly susceptible to this kind of charlatanism and borderline fraud.

Let's say I have a coin flip bet, 50/50 heads/tails, heads I make $1 and tails I lose $1.
"fair coin" is about right, selling iron condors is a zero expected return trade at mid-market, actually negative expected return if you're crossing bid/ask spread at Captain Condor's size, but let's be generous
Captain Condor's "martingale" strategy is that every time he gets tails, he loses his bet size and doubles his bet size for the next coin flip. Every time he gets heads, he resets to his base sizing, bet $1.
Read 12 tweets
Dec 26, 2025
if your "quantitative model" says to bet the life savings of your investors that that S&P cannot move 30 basis points on one random day with 90,000 iron condors, you have the wrong idea of what a quantitative model is supposed to be
making a spreadsheet that says "this thing barely ever happens five times in a row", and using that to justify some insanely massive risky zero-edge trade after it just happened four times in a row, is batshit fucking crazy
there is ~zero statistical relationship between the incidence of one iron condor paying off today and the next one paying off tomorrow, just like the s&p being up today has ~zero statistical relationship with the s&p being up tomorrow
Read 8 tweets
Nov 2, 2025
Sam Altman is a fascinating new type of person -- someone who is transparently a sociopathic liar and grifter and immensely unlikeable to 99% of humanity, but within Silicon Valley tech bro circles is viewed as incredibly charismatic and visionary
not literally the only one (thiel, andreesen, elon)

just somewhat new to tech

used to be finance 1980s-2000s
Read 4 tweets
Aug 27, 2025
Good morning. I'm on a posting break but everyone is sending me this so just a brief explanation. 🖤

The headline is correct, but the implications are not. The VIX complex is very expensive on a relative basis right now and hedge funds are short it against other vol exposures.
VIX basis to at the money forward S&P volatility is very high, so volatility hedge funds are short VIX futures and long S&P forward volatility and variance against it
The VIX term structure is very steep (extremely high roll-down and volatility risk premium) so hedge funds are short it and short delta against it or long other volatility exposures against it
Read 6 tweets

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