StrategyInvesting & PortfolioRisk & Protection18 min readPublished April 26, 2026

Do You Need Return Stacking? A Hurdle-Rate Framework for Portable Alpha

Return-stacked ETFs (NTSX, RSSB, RSST, SPLS) put two return streams on each dollar. Two tests decide whether one helps: its cost hurdle and its effect on risk.

Portable alpha and return stacking put two return streams on each dollar you invest: the stocks or bonds you already wanted, plus a second exposure financed through futures or swaps. Two questions decide whether that helps. First, does the second exposure earn more than it costs in financing, fees and taxes? Second, does adding it improve the portfolio’s return per unit of risk? An overlay can pass the first test and fail the second, or the reverse, depending on how it moves with the rest of the portfolio.

Most individual investors do not need either tool. A globally diversified low-cost stock-and-bond portfolio plus an emergency fund is sufficient for almost every household. For an investor with high risk capacity, a long horizon and a specific reason to add a diversifier without selling core holdings, a modest stacked position can be reasonable. Below: what these products are, four representative funds, what a position in each buys, both tests, the funds’ live record, how they are taxed, and a calculator that runs both tests on your assumptions.

What portable alpha actually is

Portable alpha separates two ideas. Beta is the market exposure you want (U.S. equities, global equities, Treasuries, commodities). Alpha is the return you hope to earn from a separate active or alternative strategy.

One label warning before the products. A fund that stacks two market exposures, like equities plus Treasuries, is delivering capital-efficient beta (sometimes called portable beta). NTSX and RSSB are in this group. A fund whose second layer is a diversifying strategy such as managed-futures trend is closer to portable alpha, though trend itself is largely an alternative risk premium rather than manager skill. Alpha and diversification are also separate properties: a sleeve can diversify a portfolio while earning no alpha, and a strategy with real alpha can move closely with the stock market.

PIMCO defines portable alpha as an approach that provides target market exposure while adding potential return from a separate strategy. The “portable” part means the additional return source can be combined with different market exposures. In practice, the beta is often obtained with futures or swaps, which require only a small cash outlay; the remaining capital pursues the separate strategy. The financing cost is usually tied to short-term money-market rates.1

A simplified comparison:

Traditional portfolioPortable-alpha version
$100 in S&P 500 index$100 of S&P 500 exposure via futures/swaps
No separate capital leftRemaining cash deployed in active bonds, trend, merger arb, cash-plus, or a market-neutral strategy
Return = equity betaReturn = equity beta + (strategy return − financing rate) − fees

What return stacking is in retail packaging

Return stacking is a retail-friendly, packaged form of portable alpha. The Newfound/ReSolve framing: layering one return stream on top of another so each $1 invested provides more than $1 of notional exposure.2

Capital efficiency packaged inside a 1940 Act fund is convenient for individual investors: the wrapper handles collateral, margin mechanics, and counterparty selection. The wrapper does not make the underlying investment risk go away. RSSB’s summary prospectus is typical: “You could lose all or substantially all of your investment in the Fund should the Fund’s trading positions suddenly turn unprofitable. The net asset value of the Fund while employing leverage will be more volatile and sensitive to market movements.”3

Four flavors of stacking, and the products that implement them

The four funds below are representative examples, one per category. The Return Stacked lineup alone also includes RSIT, RSSY, RSSX, RSBT, RSBY and RSBA. Structure, fees and rebalancing differ, and each changes the math.

Stack typeExampleStack mechanicRebalancingExpense ratio
Stocks + bonds (efficient core)NTSX (WisdomTree U.S. Efficient Core)~90% U.S. equity + ~60% Treasury futures (1.5x a 60/40)Quarterly, or when a sleeve drifts 5%0.20%
Stocks + bonds (global)RSSB (Return Stacked Global Stocks & Bonds)$1 invested = $1 global equity + $1 U.S. Treasury futures5% drift bands, checked daily0.39%
Stocks + active bond alphaSPLS (PIMCO U.S. Stocks PLUS Active Bond)U.S. large-cap equity held directly or through funds, plus active bond exposure at or above net assets through total return swaps and options on PIMCO active bond ETFsNot specified0.18% net; 0.43% gross (waiver through Oct 31, 2027)
Stocks + managed futuresRSST (Return Stacked U.S. Stocks & Managed Futures)$1 invested = $1 U.S. large-cap equity (stocks, ETFs and index futures) + $1 managed futuresDaily0.99%

Sources: NTSX summary prospectus, Nov 1, 2025 as supplemented Sept 30, 20264; RSSB product page and April 27, 2026 summary prospectus (0.39% gross and net; the earlier fee waiver ended May 31, 2026)3; SPLS prospectus filed Jan 14, 2026 (PIMCO may recoup waived fees within 36 months)5; RSST product page and FAQ6. Checked October 2026.

For the managed-futures-specific deep dive (academic evidence, Cockroach Portfolio context, and the full leverage hierarchy), see Do You Need Managed Futures?

What a 20% position buys

The same 20% allocation buys very different exposure depending on the fund. Start from a portfolio that is 100% U.S. stocks and sell 20% of it to buy each fund:

Replace 20% withResulting notional exposure
NTSX98% U.S. stocks + 12% Treasuries
RSSB80% U.S. stocks + 20% global stocks + 20% Treasuries
SPLS100% U.S. stocks + 20% active bonds
RSST100% U.S. stocks + 20% managed futures

Target exposures from each fund’s stated structure. Realized and volatility-adjusted exposures differ.

NTSX trims stock exposure as well as adding Treasuries, because each NTSX dollar holds only 90 cents of stock. RSSB keeps total stock exposure at 100% but shifts part of it abroad. Only SPLS and RSST leave the stock position untouched and add something on top.

Notional exposure also overstates risk when the two layers are not closely correlated. RSSB carries $2 of notional per $1 invested, yet its daily-return volatility from its December 2023 launch through October 9, 2026 was 16.5% a year, against 14.6% for VT, an all-stock global fund with $1 of notional.7 A 100/100 stock-and-Treasury fund is riskier than a stock fund by an amount set by Treasury volatility and the stock-bond correlation, which is far less than double.

Test one: the cost hurdle

Futures deliver the return of the underlying asset minus a financing rate built into the futures price. So the clean way to state what an overlay earns is its excess return over cash: the bond, trend or carry return minus the T-bill rate. Most published evidence on trend, carry and the term premium is already in that form. If you start from a total return instead, subtract the cash rate once. Subtracting financing from a futures or index excess return counts it twice.

With that convention, the change in the portfolio’s expected return from moving a share ww of it into a stacked fund is approximately:

ΔE[Rp]≈w [ q (e−s)  −  Δf  −  τ  +  (c−1) ERP ]\Delta E[R_p] \approx w\,\big[\,q\,(e - s) \;-\; \Delta f \;-\; \tau \;+\; (c-1)\,\mathrm{ERP}\,\big]
  • qq is overlay notional per fund dollar: 1.0 for RSSB, RSST and SPLS, about 0.6 for NTSX.
  • ee is the overlay’s expected return over cash, and ss is any financing cost above the T-bill rate.
  • Δf\Delta f is the fund’s expense ratio minus that of the fund you sell to buy it. Only the gap is a cost of stacking: replacing a 0.03% index fund with RSST adds 0.96% a year.
  • τ\tau is any extra tax drag per fund dollar in a taxable account.
  • cc is stock held per fund dollar (0.9 for NTSX, 1.0 for the others), and ERP\mathrm{ERP} is the expected stock return over cash. The last term charges for any stock exposure the fund gives up.

The overlay pays for itself when ee clears the break-even:

e∗=s+Δf+τ−(c−1) ERPqe^{*} = s + \frac{\Delta f + \tau - (c-1)\,\mathrm{ERP}}{q}

For a $1-per-$1 stack held in an IRA, that reduces to a short rule: the overlay must beat cash by more than the fee gap plus any financing spread. For a partial overlay, notional scales the overlay’s return, but the fee is charged on the whole fund.

A worked example, with assumptions chosen for illustration: a 20% NTSX position, Treasuries expected to beat cash by 1.2% a year, no financing spread, and no fee on the stock sold. The overlay contributes 0.20 × (0.6 × 1.2% − 0.20%) = 0.104% a year, about 10 basis points. The earlier version of this guide’s calculator treated every overlay as $1 per $1 and would have shown 20. Against a 100% stock portfolio, this hypothetical NTSX position also gives up 2% of stock exposure, which costs another 8 basis points at a 4% equity premium and leaves it about 2 basis points ahead.

The inputs, one at a time:

  • Overlay excess return is your assumption, and the input that matters most. Different sleeves have different long-run expected returns and very different risk profiles.
  • Financing spread. Treasury futures finance at rates close to repo. Equity index futures have cost more at times: the implied financing in S&P 500 futures averaged about 0.3% over the risk-free rate from 2021 to 2023 and peaked above 1.4% in December 2024, according to D. E. Shaw using Bank of America data.8 CME Group measured an average of 0.62% over the three-month SOFR forward curve from December 2022 to March 2025.9 That matters for funds that hold part of their stock exposure as futures; RSST held about a third of its net assets in S&P 500 E-mini futures on October 9, 2026.6 PIMCO’s overview makes the general point: if the strategy earns less than the financing rate, the excess return is negative.1
  • The cash rate itself drops out of the hurdle once returns are stated over cash, but you need it to convert a total-return view. On October 9, 2026, the 13-week Treasury bill yielded 4.16% on a coupon-equivalent basis (4.06% on a bank-discount basis),10 SOFR was 3.87% on October 8,11 and the fed funds target range was 3.75% to 4.00% after the Fed raised it on September 16.12 Check the live rate; these move.
  • Fee gap ranges widely: SPLS 0.18% net (0.43% once its waiver ends), NTSX 0.20%, RSSB 0.39%, RSST 0.99%, each minus the fee on whatever you sell.
  • Tax drag applies in taxable accounts and depends on the fund’s distributions; see the tax section below.

Test two: the risk test

Clearing the cost hurdle means the overlay adds expected return. The overlay also adds risk, so the portfolio may or may not be better off. Adding ww of an overlay with return XX to a base portfolio changes its variance to:

σnew2=σbase2+2w Cov(Rbase,X)+w2 σX2\sigma^{2}_{\text{new}} = \sigma^{2}_{\text{base}} + 2w\,\mathrm{Cov}(R_{\text{base}}, X) + w^{2}\,\sigma^{2}_{X}

The covariance term decides most of the answer. A standard result gives a simple test: a small position in the overlay raises the portfolio’s Sharpe ratio if and only if the overlay’s own Sharpe ratio, after costs, exceeds its correlation with the portfolio times the portfolio’s Sharpe ratio.13

μXσX  >  ρX,p μpσp\frac{\mu_X}{\sigma_X} \;>\; \rho_{X,p}\,\frac{\mu_p}{\sigma_p}

Two hypothetical overlays show how this cuts both ways, against a stock portfolio with a 0.25 Sharpe ratio (4% over cash at 16% volatility):

  • Overlay A expects to lose 1% a year after costs, with 10% volatility and a −0.5 correlation to stocks. Its Sharpe ratio is −0.10, above the required −0.125, so a small position raises the portfolio’s Sharpe ratio. That is insurance with a price.
  • Overlay B expects to earn 2% a year after costs, with 15% volatility and a +0.8 correlation to stocks. Its Sharpe ratio is 0.13, below the required 0.20, so it clears the cost hurdle and still lowers the portfolio’s Sharpe ratio. It mostly adds more of the risk the portfolio already holds.

Both overlays are made up to show the mechanics. The test is only as good as the correlation you feed it, and correlations move. The daily correlation between SPY and IEF, a 7-10 year Treasury fund, was −0.39 from 2003 to 2021. It was +0.19 in 2022 and +0.41 in 2026 through October 9.7 A stock-and-Treasury stack built on the old correlation took both losses at once in 2022 (see the live record below). The same arithmetic, applied to rebalancing between assets, is in the rebalancing-bonus guide.

A Sharpe ratio is not the only thing that matters to an individual investor. Drawdown depth, how the overlay behaves in the specific crashes you fear, and whether you will hold it through a bad stretch all count. The two tests are a minimum, and a product that fails both at your assumptions is easy to rule out.

Run both tests on your own assumptions

Pick a fund structure, then set the overlay’s expected return over cash, financing spread, fees, tax drag, and the volatility and correlation inputs for the risk test. Presets set each fund’s structure and fee, with volatility and correlation measured since RSST’s 2023 launch; none sets an expected return.

What the live record shows

The figures below are total returns on market prices with dividends reinvested, from Yahoo Finance adjusted closes through October 9, 2026. The script and output are public.7 RSST and RSSB have about three years of history, too short to estimate a long-run premium but long enough to see how each structure behaves.

2022: leverage on two assets that fell together

Fund2022 returnWorst drawdown in 2022
NTSX (90/60)−25.8%−30.9%
Costless 90/60 from ETFs (SPY + IEF − BIL)−24.8%−30.1%
SPY (S&P 500)−18.2%−24.5%
VBIAX (Vanguard Balanced, 60/40)−16.9%−21.3%
DBMF (managed futures)+21.6%
KMLM (managed futures)+24.2%

NTSX did what its structure implies. Holding 150% notional in two assets that both fell, it lost more than the S&P 500 and more than a 60/40 fund, and it tracked a costless ETF replica to within about a point. Trend-following funds gained in the same year, but trend is not a guaranteed crash hedge: both funds lost money in 2023 (DBMF −8.9%, KMLM −5.7%). The longer evidence for trend comes from Moskowitz, Ooi and Pedersen’s study of 58 futures markets,14 Hurst, Ooi and Pedersen’s century of trend data,15 and Asif, Frömmel and Mende’s study of CTA accounts, which found positive returns in most sectors during crises, driven by diversification across markets and fast cuts to exposure in the crisis market.16 None of that guarantees any single fund’s result.

RSST against the S&P 500

PeriodRSSTSPYRSST − SPYDBMF − T-bills
2023 (from Sept 6)1.6%7.3%−5.8−7.1
202418.4%24.9%−6.5+2.0
202519.9%17.7%+2.2+9.7
2026 (to Oct 9)27.6%15.1%+12.6+16.4
Sept 6, 2023 to Oct 9, 202683.9%81.6%+2.4+23.2

Differences in percentage points. DBMF minus BIL is shown as a rough benchmark for a managed-futures excess return.

RSST minus SPY is a rough read on what the managed-futures layer delivered after RSST’s extra costs. After three years it is about 2 points ahead of the S&P 500 in total, well short of DBMF’s excess return over T-bills for the same period. This data cannot separate the reasons: RSST’s higher fee, the financing cost on its S&P 500 futures during the 2024 spike, differences between RSST’s trend replication and DBMF’s, and the fact that compounded returns do not subtract cleanly.

The path matters more than the total for anyone holding it. Over the 12 months from May 20, 2024 to May 22, 2025, RSST returned −12.0% while SPY returned +11.4%, a gap of 23.4 points. An investor who sold after that stretch missed the following year, when RSST led by 30.7 points. The managed-futures layer was also less independent of stocks than the pitch suggests: the daily correlation of RSST minus SPY with SPY was 0.35 since launch.

RSSB against a costless replica

From its December 5, 2023 launch through October 9, 2026, RSSB returned 58.0%, against 59.2% for a costless daily-rebalanced replica (VT plus IEF minus BIL) and 71.4% for VT alone. The fund delivered its structure at a cost of about a point. It trailed VT because Treasuries returned less than cash over the period, which a stock-and-bond stack passes straight through as a shortfall.

Why most individual investors do not need it

For most households, the binding constraints are simpler than portfolio engineering: enough savings, low fees, broad diversification, tax-efficient accounts, an emergency fund, sane debt management, insurance, and a portfolio they can hold through a drawdown. Adding stacked products to that picture introduces real costs.

  • The cost hurdle binds. If the overlay earns less than cash plus its financing spread and fee gap, the stack subtracts from expected return. PIMCO’s own materials make this point.1
  • The “alpha” may be alternative beta. Many sleeves are systematic risk premia (trend, carry, merger spreads, duration) rather than skill-driven outperformance. Managed-futures trend, for example, is time-series momentum, a documented alternative risk premium.14 These premia can underperform their long-run averages for years.
  • Portable alpha is borrowing in disguise. Stripped to its economics, a stacked sleeve borrows against one exposure to fund another strategy. Eric Murphy argues that synthetic portable alpha is close to borrowing money to invest in hedge funds or alternatives, and that the structure adds complexity without adding free return.17 The return comes from the leverage and the diversifier; the wrapper only packages them.
  • Leverage changes the failure mode. The wrapper internalizes margin mechanics, but the fund itself uses leverage, derivatives, rebalancing, collateral, and counterparties. PIMCO notes that implementation requires liquidity management, regulatory infrastructure, counterparty assessment, and continuous risk management.1
  • Behavioral risk often dominates. The investor must hold a stacked product through years where the sleeve looks useless and the simple portfolio is doing fine. RSST’s 23-point 12-month gap against the S&P 500 is the kind of stretch that makes people sell at the wrong time.
  • Know what the leverage sits on. RSST rebalances daily, as a 2x S&P 500 fund does. The difference is what is levered: a 2x fund doubles one index, so its daily swings are twice the index’s, while RSST adds a second return stream that is only partly correlated with stocks. Both are path-dependent, and the drag from volatility grows with the size of the combined swings. The SEC warns that daily-reset leveraged ETFs can produce long-horizon results far from the stated multiple.18 For what the reset itself costs, see Do Daily Resets Hurt Leveraged ETFs?

Who portable alpha may fit

The cleanest use case is an investor who already knows their target stock and bond allocation and wants to add a diversifying return stream without reducing the core. Specifically:

  • Long-horizon investors who can evaluate leverage, tax location, manager risk, financing costs, and tracking error.
  • Investors with high risk capacity: savings well ahead of their needs, no large withdrawals coming, and income that does not fall when stocks do. A high savings rate alone is not enough. A tech salary paid partly in employer stock is already equity exposure; see human capital risk for tech workers.
  • Investors who already max simple tax-advantaged accounts. Complexity is more justifiable after the basics are handled. See the order of investing operations for the default waterfall.
  • Investors with behavioral discipline. Holding a stacked sleeve through a stretch where it trails by 20 points takes more conviction than holding a low-cost index fund.
  • Investors who have checked where the fund fits for tax purposes. The answer is product-specific; see the tax section.

Who should avoid it

  • Beginners. The moving parts obscure the real risk.
  • Anyone with high-interest debt or an inadequate emergency fund. Balance-sheet basics dominate portfolio engineering.
  • Investors who panic during tracking error. These products can underperform simple indexes for long periods.
  • Investors using taxable accounts without understanding distributions. Futures, swaps, turnover, and fund distributions can surprise people at tax time.
  • Investors near major cash needs. Leverage plus sequence risk can be painful.
  • Investors trying to catch up after under-saving. Reaching for return after a savings shortfall is a common behavioral trap.
  • Anyone who cannot explain the product in one paragraph. If you cannot explain what is stacked, what finances it, and how it can fail, you probably should not own it.

How stacked funds are taxed

Regulated futures contracts are marked to market at year-end and taxed 60% as long-term and 40% as short-term capital gain, whatever the holding period.19 For an ETF, that treatment applies inside the fund, which is the taxpayer holding the contracts. You do not file Form 6781 for the fund’s futures. You receive a Form 1099-DIV: net short-term gains arrive as ordinary dividends, and net long-term gains as capital-gain distributions taxed as long-term gain however long you held the shares.20 Because a fund must distribute nearly all of its income and gains to keep its tax status, futures gains tend to reach you each year whether or not you sell, and part of the 60/40 character carries through in the split between the two kinds of distribution. RSST, launched in September 2023, paid a long-term capital-gain distribution that December.21

Three details matter more than the 60/40 headline:

  • Losses stay in the fund. A fund’s net capital losses do not pass through to shareholders; the fund carries them forward against future gains.22 A bad year for the futures sleeve gives you no deduction, though it can shelter later gains inside the fund. NTSX reported $178 million of capital-loss carryforwards in its June 2026 annual report.23
  • Commodity subsidiaries produce ordinary income. Managed-futures funds often hold commodity futures through a wholly owned Cayman subsidiary. The fund must include the subsidiary’s income in its own taxable income each year,21 and that income is generally ordinary, so the 60/40 split does not apply to it.
  • Distribution history varies by fund. Check the actual record before deciding placement:
Fund202320242025Character
RSST~0.9%~0.1%~1.1%Mix of ordinary and long-term gain; 2024 all long-term
RSSB~0.6%~1.1%~3.4%Mostly ordinary, some long-term gain
NTSXAbout 1% of net assets a year (fiscal years ending June 2024 to June 2026)Ordinary only; no capital-gain distributions

Distributions as an approximate percentage of fiscal-year-end net asset value, from the funds’ annual and semi-annual reports.2123 SPLS has no full-year history yet.

A tax-advantaged account removes the distribution question, but that space is limited. A Roth dollar holding a 0.99% fund is a Roth dollar not holding your highest-expected-growth asset. For a fund with a modest, steady distribution record, taxable placement can be reasonable; for one that has paid large ordinary distributions, the IRA case is stronger. Before buying late in a year in a taxable account, check the fund’s most recent report for undistributed income, which can arrive as a December distribution on shares you just bought. The managed-futures guide covers the top-bracket 60/40 math, and the parallel discussion for option-income funds is in the covered-calls guide.

See whether a stacked sleeve fits your real portfolio

Run your current holdings through Summitward's portfolio analyzer to see your real factor exposures and correlation profile, before deciding whether a stacked sleeve solves a diversification problem you actually have.

Open portfolio analyzer

Sizing and the behavioral test

Before adding a stacked sleeve, try to explain it in one paragraph to someone who is not a finance professional: what is stacked, what finances the second sleeve, what are the fees, what are the tax consequences, and what are the failure modes. If the explanation is muddled, the allocation is too complex.

No research establishes an optimal size for an individual investor. A position of 5% to 20% of the portfolio is a common starting range because it is easy to evaluate, easy to hold through tracking error, and easy to unwind. Size it by what it adds in risk rather than by its dollar weight. A 20% NTSX position adds 12% Treasury notional. A 20% RSST position adds 20% managed-futures notional, and that layer has been about twice as volatile per dollar (13.6% a year against 6.3% for intermediate Treasuries since RSST’s launch).7 Start small and add only after the position has been through a stretch where it trails simpler alternatives and you still held it.

Frequently asked questions

Is return stacking the same as a 2x or 3x leveraged ETF?

No, though the mechanics overlap more than the marketing suggests. NTSX rebalances quarterly or when a sleeve drifts 5%, RSSB uses 5% drift bands checked daily, and RSST rebalances daily. A 2x or 3x fund such as SSO or TQQQ resets daily to a multiple of one index. The bigger difference is what is levered: a stack adds a second return source, while a 2x fund doubles the first one, so its swings and its volatility drag are larger. The SEC’s investor bulletin warns that daily-reset products may not deliver the stated multiple over periods longer than a day.18 See the daily-reset guide for the measured cost of the reset itself.

Should I just hold NTSX as a complete portfolio?

Some investors do, since NTSX gives stocks and bonds in one product at a 0.20% expense ratio. The case against is concentration: NTSX is U.S.-only, so an NTSX-only portfolio has no international diversification. Pairing it with an international fund (or using NTSI or NTSE for the international sleeve) is more defensible. It also carries 150% notional, so expect losses like 2022’s −25.8% when stocks and bonds fall together. See the case for global diversification.

What about Wall Street Bets-style 2x QQQ portfolios?

Daily-reset leveraged equity ETFs are a different product from a portable-alpha stack. Holding TQQQ long-term is a 3x bet on a single equity index, with results that depend heavily on the path; a stack adds a second, different return source. The portable-alpha framework does not endorse that trade.

How does this differ from the managed-futures guide?

That guide is the managed-futures-specific deep dive: trend-following academic evidence, RSST decomposition, tax mechanics, the leverage hierarchy, and Cockroach Portfolio context. Here, managed futures is one of four stack types (NTSX, RSSB, SPLS, RSST), each held to the same two tests. Read both if you are seriously considering managed futures inside a stacked fund.

Do these products belong in a retirement account?

Often, but not automatically. An IRA or 401(k) removes the annual distribution question, which matters most for funds that pay large ordinary distributions. It also uses scarce tax-advantaged space, and a fund with a small, steady distribution record can be reasonable in a taxable account. Tracking-error risk and leverage risk are the same in either account.

Author disclosure

The author holds a small position in RSST (Return Stacked U.S. Stocks & Managed Futures ETF) in a Roth 401(k), and that holding may bias the author toward treating managed futures as a useful diversifier. The author holds none of the other funds discussed (NTSX, RSSB, SPLS). Nothing here is a recommendation to buy, sell, or hold any specific stacked product.

Related guides

Sources

  1. PIMCO. “Understanding Portable Alpha Strategies”. Definition of portable alpha; financing-cost note; implementation requirements.
  2. Return Stacked Portfolio Solutions. “What is Return Stacking for Diversification”. Layering one return stream on top of another to get more than $1 of exposure per $1 invested.
  3. Return Stacked ETFs. Return Stacked Global Stocks & Bonds ETF (RSSB) and summary prospectus (April 27, 2026). $1 global equity + $1 U.S. Treasury futures; 0.39% gross and net expense ratio (management fee 0.35% plus 0.04% acquired fund fees); 5% drift thresholds evaluated daily; leverage risk language.
  4. WisdomTree. U.S. Efficient Core Fund (NTSX) summary prospectus (Nov 1, 2025, as supplemented Sept 30, 2026). About 90% U.S. equity and 60% Treasury futures notional; 0.20% expense ratio; quarterly rebalancing, intra-quarter if a sleeve deviates 5% or more.
  5. PIMCO. PIMCO U.S. Stocks PLUS Active Bond ETF (SPLS) prospectus (filed Jan 14, 2026). Total annual operating expenses 0.43%; fee waiver to 0.18% through October 31, 2027, recoupable within 36 months; fixed-income exposure through total return swaps and options on PIMCO active bond ETFs; funding costs “may be an implicit cost within derivatives instruments.” See also the Jan 16, 2026 launch press release.
  6. Return Stacked ETFs. Return Stacked U.S. Stocks & Managed Futures ETF (RSST). $1 U.S. equity (stocks, ETFs and index futures) + $1 managed futures replicating a basket of trend-following funds; 0.99% expense ratio; FAQ: “RSST rebalances daily”; holdings on Oct 9, 2026 showed S&P 500 E-mini futures at 34.4% of net assets.
  7. Summitward research. portable-alpha-and-return-stacking. Script and output behind every return, drawdown, volatility and correlation figure quoted above, from Yahoo Finance adjusted daily closes through October 9, 2026.
  8. D. E. Shaw & Co. “Imbalance Sheet” (January 23, 2025). S&P 500 futures financing spread, using Bank of America data: peaked above 1.4% in December 2024, against an average of 0.3% from 2021 to 2023.
  9. CME Group. “Quantifying and Hedging Equity Financing Risk” (May 2, 2025). E-mini S&P 500 implied financing averaged 62 basis points over the three-month SOFR forward curve across the ten quarterly rolls from December 2022 to March 2025.
  10. U.S. Department of the Treasury. Daily Treasury Bill Rates, October 2026. 13-week bill on October 9, 2026: 4.06% bank discount, 4.16% coupon equivalent.
  11. Federal Reserve Bank of New York. Secured Overnight Financing Rate. 3.87% on October 8, 2026.
  12. Federal Reserve. FOMC statement, September 16, 2026. Target range raised by 1/4 percentage point to 3-3/4 to 4 percent.
  13. Eric Benhamou and Beatrice Guez, “Incremental Sharpe and Other Performance Ratios,” Journal of Statistical and Econometric Methods 7(4), 2018, 19–37, arXiv:1807.09864. Proposition 3: including asset i is optimal if and only if its Sharpe ratio is at least its correlation with the portfolio times the portfolio’s Sharpe ratio.
  14. Tobias J. Moskowitz, Yao Hua Ooi and Lasse Heje Pedersen, “Time Series Momentum,” Journal of Financial Economics 104(2), 2012, 228–250, doi:10.1016/j.jfineco.2011.11.003. Past 1-to-12-month returns predict future returns across 58 liquid futures and forwards.
  15. Brian Hurst, Yao Hua Ooi and Lasse Heje Pedersen, “A Century of Evidence on Trend-Following Investing,” Journal of Portfolio Management 44(1), 2017, 15–29, doi:10.3905/jpm.2017.44.1.015.
  16. Raheel Asif, Michael Frömmel and Alexander Mende, “The Crisis Alpha of Managed Futures: Myth or Reality?” International Review of Financial Analysis 80, 2022, 102045, doi:10.1016/j.irfa.2022.102045. Daily returns and sector positions of CTA managed accounts.
  17. Eric A. Murphy. “Inefficiencies of Portable Alpha Models” (SSRN working paper, 2006). Argues that portable alpha is economically close to borrowing money to invest in hedge funds.
  18. U.S. Securities and Exchange Commission. Investor Bulletin: Leveraged and Inverse ETFs. Daily-reset funds can produce long-horizon results materially different from the stated daily multiple.
  19. 26 U.S.C. § 1256. Section 1256 contracts marked to market. 60% long-term and 40% short-term treatment; year-end mark-to-market.
  20. IRS Publication 550 and Instructions for Form 1099-DIV. Capital gain distributions are long-term regardless of holding period; distributions of net short-term gains are ordinary dividends.
  21. Return Stacked ETFs. Annual financial statements, fiscal year ended January 31, 2026 and semi-annual report (July 31, 2024). Distribution character, capital-loss carryforwards, and treatment of the Cayman subsidiaries as controlled foreign corporations.
  22. 26 U.S.C. § 852 and § 1212(a)(3). Taxation of regulated investment companies and their shareholders; capital-loss carryforward for a fund with a net capital loss.
  23. WisdomTree Trust. Form N-CSR, fiscal year ended June 30, 2026. NTSX distributions by character and capital-loss carryforwards.

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