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WisdomTree US Efficient Core UCITS ETF - USD Acc

Published 14 May 2025
Head of Research, WisdomTree Europe.
Associate Director, Quantitative Research at WisdomTree in Europe
Whether saving for retirement or a future home, investors typically seek strong returns without incurring excessive risk. To do that, the 60/40 portfolio has been a staple choice, but other robust portfolio proposals have also emerged over time. Ray Dalio’s All-Weather Portfolio and Harry Browne’s Permanent Portfolio stand out as particularly popular and effective examples, known for their resilience and adaptability.
WisdomTree has developed a unique range of Efficient Core exchange-traded funds (ETFs) that offers a unique investment tool. By allocating 90% to stocks for growth and 60% to bond futures for balance (in other words, a 60/40 leveraged by 150%), this tool allows investors to improve on a traditional portfolio that mixes equities and bonds by freeing up space in portfolios. The capital efficiency unlocks the ability to add diversifiers, without sacrificing core equity exposure (read more here ).
So, can WisdomTree Efficient Core also improve those other popular portfolios?
Dalio’s All-Weather Portfolio resembles a risk-parity portfolio and is designed to perform consistently across various economic scenarios, including inflation, deflation, accelerating growth, and slowing growth. Equities typically perform well during periods of economic growth, while long-term bonds offer protection during deflation and recessionary environments. Intermediate-term bonds provide stability during moderate economic fluctuations, commodities generally thrive in inflationary environments, and cash serves as a buffer during market volatility.
We first try to replicate the all-weather portfolio by using WisdomTree US Efficient Core (see the second column of Figure 1). We start by substituting the equity position in the all-weather portfolio with WisdomTree US Efficient Core. With this, investors effectively achieve a 27% equity exposure (30% * 90%). To maintain the original 30% allocation to equities, an additional 3% is allocated directly to the S&P 500. Since WisdomTree US Efficient Core also includes 15% exposure to intermediate-term Treasuries, investors can reduce this amount from their existing bond allocation. This adjustment frees up approximately 12% of capital, which can be allocated to T-bills.
All-weather | All-weather with NTSX | Delta vs All-weather | All-weather with NTSX + Diversifier | Delta vs All-weather NTSX | All-weather with NTSX Leveraged | Delta vs All-weather NTSX | |
|---|---|---|---|---|---|---|---|
US Equity | 30.0% | 3.0% | -27.0% | 3.0% | 3.4% | +0.4% | |
US Long Term Treasuries | 40.0% | 40.0% | 40.0% | 45.5% | +5.5% | ||
US Intermediate Treasuries | 15.0% | -15.0% | |||||
Commodities | 7.5% | 7.5% | 7.5% | 8.5% | +1.0% | ||
Gold | 7.5% | 7.5% | 7.5% | 8.5% | +1.0% | ||
US Efficient Core | 30.0% | +30.0% | 30.0% | 34.1% | +4.1% | ||
Cash | 12.0% | +12.0% | -12.0% | -12.0% | |||
Managed Futures | 12.0% | +12.0% |
Source: WisdomTree. The table shows different variations of the All-Weather Portfolio by introducing US Efficient Core.
The dark blue line and the teal line in Figure 2 indicate that this Efficient Core-enhanced version of the All-Weather Portfolio closely mirrors the original portfolio’s performance. Minor discrepancies primarily arise from small differences in the fixed income leg durations but, overall, the replication remains precise for all practical purposes.
However, one major effect of integrating US Efficient Core in the portfolio is that this opens further opportunities for investors. The approximately 12% freed-up capital can be strategically deployed in two main ways.
The effects are the ones that we see in the purple and grey lines in Figure 2.
Figure 2: Historical performance and statistics of the All-Weather Portfolio using US Efficient Core

Source: WisdomTree, Bloomberg. Data from 1 January 1999 to 25 March 2025. You cannot invest in an index. Historical performance is not an indication of future performance, and any investments may go down in value.
Metric | All-weather | All-weather NTSX replication | All-weather NTSX diversifiers | All-weather NTSX leveraged |
|---|---|---|---|---|
Cumulative return | 434.0% | 427.8% | 521.2% | 509.9% |
Annualised return | 6.6% | 6.6% | 7.2% | 7.2% |
Volatility | 7.4% | 7.6% | 7.9% | 8.7% |
Sharpe | 0.61 | 0.59 | 0.66 | 0.59 |
Max drawdown | -22.8% | -23.6% | -20.8% | -26.6% |
We can see that:
Using WisdomTree Efficient Core to improve Browne’s Permanent Portfolio
Browne’s Permanent Portfolio relies on equal allocations to stocks, long-term government bonds, gold, and cash, diversifying effectively across assets that react differently throughout economic cycles. Like the All-Weather Portfolio, it aims to perform well across different environments but stands out for its simplicity and objectively impressive risk-return profile.
Like before, we first replicate the permanent portfolio by integrating WisdomTree US Efficient Core and we subsequently redeploy the freed-up cash by:
Figure 3: Variations of the Permanent Portfolio using US Efficient Core
Permanent | Permanent with NTSX | Delta vs Permanent | Permanent with NTSX + Diversifier | Delta vs Permanent NTSX | Permanent with NTSX Leveraged | Delta vs Permanent NTSX | |
|---|---|---|---|---|---|---|---|
US Equity | 25.0% | 2.0% | -23.0% | 2.0% | 2.2% | +0.2% | |
US Long Term Treasuries | 25.0% | 18.5% | -6.5% | 18.5% | 20.8% | +2.3% | |
Gold | 25.0% | 25.0% | 25.0% | 28.1% | +3.1% | ||
US Efficient Core | 25.0% | +25.0% | 25.0% | 28.1% | +3.1% | ||
Cash | 25.0% | 29.5% | +4.5% | 18.5% | -11.0% | 20.8% | -8.7% |
Managed Futures | 11.0% | +11.0% |
Source: WisdomTree. The table shows different variations of the Permanent Portfolio by introducing NTSX.
As in the previous example, we can see that adding a valid diversifier improves the portfolio in terms of performance and in terms of risk adjusted profile, while spreading the cash proportionally to the existing asset classes only adds in terms of performance but keeps the risk-return profile unaltered.
Figure 4: Historical performance and statistics of the Permanent Portfolio using US Efficient Core

Source: WisdomTree, Bloomberg. Data from 1 January 1999 to 25 March 2025. You cannot invest in an index. Historical performance is not an indication of future performance, and any investments may go down in value.
Metric | Permanent | Permanent NTSX replication | Permanent NTSX diversifiers | Permanent NTSX leveraged |
|---|---|---|---|---|
Cumulative return | 418.0% | 412.2% | 494.7% | 483.5% |
Annualised return | 6.5% | 6.4% | 7.0% | 7.0% |
Volatility | 6.6% | 6.5% | 6.8% | 7.4% |
Sharpe | 0.67 | 0.67 | 0.74 | 0.67 |
Max drawdown | -17.3% | -17.2% | -14.6% | -19.2% |
Efficient Core serves two critical purposes in portfolio design:
Efficient Core redefines what it means to be ‘core’ in a portfolio. It acknowledges the limitations of traditional allocations and offers a practical, data-driven pathway to better outcomes. As markets evolve and capital becomes scarcer, capital efficiency may well become the new frontier of portfolio construction.

Head of Research, WisdomTree Europe.
Pierre Debru leads WisdomTree’s European research team and plays a pivotal role in the strategic direction of our European research efforts. His key areas of expertise extend across equity factors and quantitative strategies, portfolio construction and model portfolios, and thematic and crypto investments. Before joining the company in 2019, Pierre worked in Investment Research for DWS and the Xtrackers range for over five years. During this period, he focused on smart beta investments, model portfolio construction and thought leadership. Pierre has over 20 years of experience in investments and structured asset management. He graduated from Ecole Central Paris and obtained a Master of Science in Mathematics applied to Finance.

Associate Director, Quantitative Research at WisdomTree in Europe
Luca is an Associate Director in WisdomTree Europe's Research team, where he conducts quantitative research to enhance or develop new investment strategies, particularly in commodities and thematic equities. He also focuses on portfolio construction and optimisation. Before joining WisdomTree in 2022, Luca worked as a Quantitative Portfolio Manager at Euclidea SIM, a Milan-based fintech where he quantitatively managed multi-asset portfolios and developed and implemented statistical and machine learning models for investment strategies and fund selection. Luca holds a Master's degree in Finance from Bocconi University, Milan.