1/ What is "return stacking" and how is it different than stretching for returns?

(From our paper investresolve.com/return-stackin…)

A quick 🧵... (I know, I know...)
2/ The expectation of low real returns going forward puts a significant burden on long-term investors striving to meet future needs.

e.g. Endowments who are making annual withdrawals, pensions that have future liabilities, and individuals who are saving for retirement.
3/ A phenomenon that we've witnessed over the last decade is investors moving up the risk curve by either (1) increasing equity exposure, (2) increasing credit risk (lower quality bonds), or (3) increasing liquidity risk (e.g. real estate, private equity or private credit).
4/ This is probably one of my favorite graphics related to the secular trend.

A portfolio with an expected nominal return of 7.5% was achievable with a 100% fixed income exposure in 1995.

In 2015, it had to be 90% risk assets, many of which are far less liquid.
5/ Many investors have sought to incorporate diversifying alternatives, but their tracking error to traditional markets – particularly when traditionally allocated portfolios have realized such high Sharpe ratios – can make them difficult to stick with.
6/ The core idea behind "return stacking" is to use leverage to free up capital, without sacrificing traditional beta exposure, which can then be allocated to alternatives.

In doing so, we hope to achieve a more robust portfolio.
7/ In 1996, @CliffordAsness wrote "Why Not 100% Equities," (aqr.com/Insights/Resea…) pointing out that a 60/40, when levered to match the volatility of equities, had a superior return.

WisdomTree replicated and extended these results out-of-sample (wisdomtree.com/blog/2021-05-2…)
8/ Now this is the fun part (at least in my opinion).

If we were a 100% equity investor, we could just allocate 100% of our portfolio to the WisdomTree U.S. Efficient Core ETF ($NTSX), which provides 1.5x exposure to a 60/40 portfolio.

or...
9/ We can allocate 2/3 of our portfolio, get the equivalent exposure to a 60/40 (1.5 x 2/3 = 1), and then allocate the remaining 1/3 of the portfolio to something else.
10/ If we look at the portfolio holistically, we could argue we're using the capital efficiency in $NTSX to "stack" a second source of returns on top of a 60/40 portfolio.
11/ In 2005, Bill Gross published "Consistent Alpha Generation through Structure" (jstor.org/stable/4480698).

He explained that a core part of the alpha they generated at PIMCO was "structural alpha."

How does it work?
12/ We use the attractive financing rate embedded in derivatives to free up capital that we can invest in slightly higher risk (credit and duration) bonds.
13/ While PIMCO used this approach to generate "structural alpha," our paper (investresolve.com/return-stackin…) suggests that it can be used to not only seek higher returns, but do so in a more resilient and palatable structure.
14/ By using capital efficient funds, we can achieve our target traditional asset allocation and free up capital to be invested in either economically diversifying asset classes or uncorrelated strategies.

e.g. 66.6% $NTSX + 33.4% $DBMF (managed futures)
15/ "But Corey, what about taxes?"

See 👇

16/ "Doesn't leverage invite catastrophe?"

It can if not used prudently. That's why we emphasize the need to focus on adding diversifying exposures.
17/ Even still, crises can lead to acute deleveraging cycles and cause correlations to crash to 1.

This is where investors might consider incorporating tail hedges into their portfolio.

(Institutions can likely structure highly convex trades to hedge the correlation risk.)
18/ At the end of the day, I still believe that "risk cannot be destroyed, only transformed."

With return stacking, we're trying to avoid increasing equity/credit/liquidity risk and instead taking on leverage risk.
19/ But we believe that leverage, when prudently applied, can lead to much more resilient and robust portfolios.

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More from @choffstein

9 Sep
0️⃣ I've received a couple questions about this paper and tax implications of this approach.

I'm not an accountant, but I think there are three main points to consider about tax efficiency and return stacking.

1️⃣ Some funds achieve capital efficiency in a tax efficient manner, and some do not.

e.g. $PSLDX buys bonds and overlays with S&P 500 futures. That's very tax inefficient, since those S&P 500 futures are taxed at a 60% long-term / 40% short-term rate.
NTSX, on the other hand, buys the S&P 500 and then overlays with U.S. Treasury futures. Those futures are also taxed at the 60/40 rate, which *can* be more tax advantageous than buy-and-hold bond exposure, where the majority of the return (yield) gets taxed at ordinary income.
Read 8 tweets
2 Sep
@John_Stepek My ultra skeptical answer:

I put $1 in $USDC.
You start a new project $COIN.
I buy 1 $COIN for 1 $USDC.
Someone else starts $TOKEN.
I buy 1 $TOKEN for 1 $COIN.

How much money is in crypto?
@John_Stepek So you’ve got a massive ball of “money” that bubbles up, but can’t ever really be removed. So it just rips around the space.

It’s L1 tokens one month, DeFi the next, NFTs the next...
@John_Stepek So unless (1) people can start to borrow fiat against their crypto / NFTs, (2) people try to move crypto into fiat en masse, or (3) businesses accept crypto as payment, I think you just get this risk of inflated bubble money.
Read 4 tweets
13 Aug
the jpegs look rare

1/ Some interesting threads and resources as it relates to NFTs...

"What could possibly be important about a JPG, a silly meme?"

2/ "Why did I spend $7MM on 104 floor punks?"

Read 10 tweets
10 Aug
@vixologist @AttainCap2 @GestaltU I interpret 🍋’s point as: forest fires clear out underbrush that cause forest fires.

I interpret @GestaltU’s point as reflexive: if everyone prepares for the last crash, then it’s almost impossible for a crash like it to occur!
@vixologist @AttainCap2 @GestaltU I don’t disagree with either of those points. Adam’s point is one of the reasons that many on here – myself included – were saying that it would be hard to see a post-election crash last November.
@vixologist @AttainCap2 @GestaltU I still think a lot of the same dynamics permeate the system (namely, excessive risk taken driven by low interest rates; adoption of systematic strategies; influence of options on underlying) – but the build up of risk that 🍋 alludes to may be gone for some time.
Read 4 tweets
9 Aug
1/ Back in 2001, I used to play this game called Runescape (runescape.com)

(Which is still very much around, but looks nothing like it did when I played.)
2/ There was a whole world to explore, quests to complete, skills to learn, and players to meet.
3/ I sank hundreds of hours in the mines, clicking on rocks to mine ore, then hauling it back to town to smelt and then crafting it into armor to sell.
Read 14 tweets
25 Jul
1/ I constantly get questions from people looking to go into graduate financial engineering (“FE”) programs.

I thought I’d compile my thoughts into a thread 🧵
2/ For context, I graduated from Carnegie Mellon’s MS in Computational Finance program in December 2010.

It was the world’s first FE program and, at the time, ranked #1.

Everything that follows is just my opinion based upon my experience.
3/ What are these degrees? They’re interdisciplinary studies (typically finance, mathematics, and computer science) that try to prepare someone for a career as a “quant.”
Read 23 tweets

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