1/ Some random thoughts on the reflexive impacts of commoditization of access in finance…

In other words, “what happens when we make something easy to invest in?"
2/ In 1991, Goldman Sachs launched the Goldman Sachs Commodity Index (GSCI). By the early 2000s, commodity futures were an popular, emerging asset class for many financial institutions.
3/ Institutional investors were ravenous for exposure, and grew their exposure in different commodity index-related instruments from just $15b in 2003 to $200b by mid-2008.
4/ This raised some concern that price-insensitive buyers of commodities may cause unwarranted increases in prices and volatility.

hsgac.senate.gov//imo/media/doc…
5/ Tang and Xiong (2012) (princeton.edu/~wxiong/papers…) found:

- Greatly increasing price comovements between commodities after 2004

- In particular, non-energy names became more highly correlated with oil.
6/ They also found that,

"The trading of index investors can act as a channel to spill volatility from outside financial markets on and across commodity markets."
7/ But can commoditized access change the fundamental nature of the asset itself?

Erb, Harvey, and Viskanta (2020) discusses the growth of Gold ETFs and the shift of gold price sensitivity from real yield changes to supply-and-demand shifts.
8/ So what else has been commoditized?

Target Date Funds have grown from $8 billion in 2000 to $2.3 trillion in 2019.

Parker, Schoar, and Sun (2020) (nber.org/papers/w28028) argue that:

- TDF rebalancing drives contrarian flows
- Rebalancing flows impact stock prices
9/ And if TDFs are "price insensitive" rebalancers, can TDFs reduce price responses to asset-class-specific changes?
10/ @VincentDeluard (2020) makes a more salacious suggestion: the target date whale is moving markets.

blog.evergreengavekal.com/swimming-with-…
11/ What else?

Is it possible Robin Hood commoditized access to options?

👋 Hello, call option casino!
12/ What about smart beta and equity factors?

If the market crowds into the same basket (or risk factor) definitions, does that make the market less stable?
13/ This thread isn't driving towards any specific conclusion other than,

"If markets are reflexive why wouldn't structural shifts in supply and demand affect the underlying assets?"

And what happens when access to markets themselves have been commoditized?

FIN.
(@profplum99 You might like the paper above if you haven’t seen it.

@maratikus_quant This might relate to your research on commodity futures)

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More from @choffstein

10 Dec
1/ As 2020 is coming to a close, I wanted to share some of my favorite graphs / pictures I collected throughout the year.
2/ March was one of the fastest sell-offs in history.
3/ The world came to a stop.
Read 26 tweets
5 Nov
1/ Having lots of fun convos in the DM’s about positioning of systematic players (and how that positioning changes w.r.t. spot, realized volatility, and time).

I think an important equation to keep in mind is:

dL/dV = -T / V^2
2/ If we assume leverage (L) is simply equal to target volatility (T) divided by realized volatility (V) (i.e. L = T / V), then we find that the change in leverage w.r.t changes in volatility is equal to the equation above.
3/ What does this mean?

Since T is pretty much constant, it tells us that leverage changes (i.e. buying / selling pressure) will be due to changes in realized volatility (duh).
Read 9 tweets
3 Nov
How are systematic strategies affecting equities today?

As far as I can tell, many are dead pressure at the moment.

e.g. Here’s a dashboard I whipped up of S&P 500 allocation sensitivity in one popular multi-asset momentum index.

(Definitions 👇) Image
(Yes, I am bastardizing the greeks here)

Gamma - Change in weight per 1% move in spot price

Vanna - Change in weight per 1% move in realized vol

Charm - Change in weight per 1 day change in historical data window
DlambdaDvol - Change in portfolio leverage required to maintain constant volatility target per 1% change in realized volatility
Read 5 tweets
11 Sep
This is the most uncomfortable piece of research I’ve ever written.

I don’t believe everything in it with the same conviction.

But I think the evidence – circumstantial as it is – when taken together, paints a very interesting picture about the current market structure.
If you want to hear more intelligent people speak on some of these topics, I’d recommend:

@bennpeifert on OddLots (bloomberg.com/news/audio/202…)

@profplum99 on Grant Williams (podcasts.apple.com/us/podcast/the…)
@ArtemisVol has some really thought-provoking stuff on reflexivity and liquidity (artemiscm.com/welcome#resear…)

I would also highly recommend this paper by Vineer Bhansali (longtailalpha.com/wp-content/upl…)
Read 5 tweets
17 Aug
1/ A quick thread on our new paper

Rebalance Timing Luck: The (Dumb) Luck of Smart Beta

Available at:
- epsilontheory.com/rebalance-timi…

- papers.ssrn.com/sol3/papers.cf…
2/ A general audio recap is available at:

podcasts.apple.com/us/podcast/cor…
3/ Okay, so what's the core problem we're trying to tackle here?

Lots of systematic equity strategies (such as "smart beta" ETFs) rebalance on a fixed schedule (e.g. every June and December).

Does the choice of "when" matter?
Read 14 tweets
30 Jul
1/ Flirting with Models (thinknewfound.com/podcast) Season 3 is officially over.

A deep thank you to my guests, all who listened, and @MathewPassy for his unbelievable editing.

I thought I'd do a quick thread on something I learned from each episode.
2/ Quantifying Conviction with @AQISinvest

Position size is not a great measure of a manager's conviction; we have to normalize against that manager's behavior incentives.

A small, off-style position put on late in the year could mean a lot.

blog.thinknewfound.com/podcast/s3e1-k…
3/ Evolving Long/Short Equity with @michaelbkrause

Look-ahead bias can be an effective means of measuring the upper limits of your portfolio construction process.

blog.thinknewfound.com/podcast/s3e2-m…
Read 15 tweets

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