Financially reviewed by Patrick Flood, CFA.
The All Weather Portfolio is a well-diversified, low-risk portfolio from Ray Dalio designed to “weather” any environment. Here we’ll look at the All Weather Portfolio’s components, historical performance, ETFs to use in 2023, and various leveraged strategies.
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What Is the All Weather Portfolio and Who Is Ray Dalio?
First, we’ll take a brief look at what this portfolio is comprised of, and why. The All Weather Portfolio is an available-to-the-masses portfolio modeled somewhat after the risk-parity-based All Weather Fund from the famous hedge fund Bridgewater Associates. The portfolio idea was created by the legendary Ray Dalio, founder of Bridgewater, and was then popularized by Tony Robbins. Dalio has become almost like a god in the world of finance and investing, and rightfully so. I would highly recommend his bestselling book Principles, as well as his more recent book Big Debt Crises. His newest book from November, 2021 is Principles for Dealing with the Changing World Order: Why Nations Succeed and Fail.
Bridgewater is perhaps most famous for their focus on and analysis of different economic cycles in “the economic machine.” Their All Weather Fund – and subsequently the All Weather Portfolio – is designed to survive all economic environments, using different types of assets that perform differently during those different “seasons.” Appropriately, it is also sometimes referred to as the “All Seasons Portfolio.”
While Bridgewater is constantly watching the market and the economy, Dalio himself admits that he can’t predict the future, thus the need for a portfolio that mitigates the financial impact of unexpected economic events, known as black swan events. The All Weather Portfolio becomes especially attractive during periods of market turmoil, particularly for investors who have a low risk tolerance and/or are primarily concerned with capital preservation.
It has long been known that portfolio diversification mitigates risk and volatility. The All Weather Portfolio seemingly maximizes diversification using a variety of asset classes. This diversification benefit is borne of the inherent uncorrelation of these assets, e.g. when stocks go down, bonds tend to go up. This conveniently obviates the need for any attempt at or anxiety over market timing or guesswork. Dalio actually explicitly maintains that attempting to time the market is a fool’s errand.
Note that the All Weather Portfolio as it is prescribed is not based on true risk parity of the assets, but it is pretty close. It is simply the product of an interview between Tony Robbins and Ray Dalio in which Dalio suggested that these weightings, without leverage, would be suitable and easy to manage for the average investor. Dalio even suggested that these weightings “would not be exact or perfect.” I explore options for actual risk parity below later on in this post. In fairness, the real All Weather Fund at Bridgewater – after which this portfolio is modeled – seems to be based on risk parity of the 4 economic seasons listed below.
As the name suggests, the All Weather Portfolio is designed to be able to “weather” any storm. It uses asset class diversification based on seasonality in the interest of limiting volatility and drawdowns. The holdings and the allocations thereof correspond to Dalio’s view on economic “seasons.” Dalio’s strategy and expertise are so pervasive that the phrase “all weather” is now used to describe other portfolios that behave like his in surviving any economic climate, e.g. “investing in an all weather portfolio.”
Dalio proposes that the following four things affect asset value:
- Rising economic growth.
- Declining economic growth.
Based on these, Dalio expects we can see 4 “seasons” of the economy:
- Higher than expected inflation.
- Lower than expected inflation.
- Higher than expected economic growth.
- Lower than expected economic growth.
Dalio chose asset classes that performed well in each of these different seasons, with the goal being diversification that allows for consistent growth and small drawdowns. To minimize volatility, the portfolio is mostly bonds, and only allocates 30% to stocks.
Ray Dalio All Weather Portfolio Asset Allocation
The All Weather Portfolio asset allocation looks like this:
- 30% U.S. Stocks
- 40% Long-Term Treasury Bonds
- 15% Intermediate-Term Treasury Bonds
- 7.5% Commodities
- 7.5% Gold
How To Build the Ray Dalio All Weather Portfolio
M1 Finance would be a good choice for U.S. investors to implement the All Weather Portfolio so that you can easily and seamlessly rebalance as often as you’d like, and it has zero transaction fees. I wrote a comprehensive review of M1 Finance here.
Using some low-cost Vanguard funds and my “best in class” ETFs, we can build the All Weather Portfolio (here’s the pie) like this:
To add this pie to your portfolio, just click this link and then click “Invest in this pie.”
Canadians can find the above ETFs on Questrade or Interactive Brokers. Investors outside North America can use eToro or possibly Interactive Brokers.
To diversify internationally with the All Weather Portfolio above, simply replace VTI (Vanguard’s total US stock market ETF) with VT (Vanguard’s total world stock market ETF). That pie can be found here.
All Weather Portfolio Performance vs. S&P 500
With live fund data for Commodities only going back to 2003, here’s the All Weather Portfolio vs. a traditional 60/40 portfolio and the S&P 500 through 2022:
As we’d expect, the All Weather Portfolio has had less than half the volatility and, consequently, a much higher risk-adjusted return (Sharpe) and significantly smaller drawdowns versus the S&P 500. This shows the All Weather Portfolio doing precisely what it’s intended to do: weather any storm.
Personally, I probably wouldn’t adopt the All Weather Portfolio unless I were near or at retirement age, or if for some reason I absolutely couldn’t mentally and emotionally endure volatility and drawdowns (which is a very real case for some). The gold, commodities, and heavy bond allocation would likely just drag down long-term total return since it only has 30% allocated to stocks.
We can see the All Weather Portfolio had a slightly lower return with a nearly identical risk-adjusted return compared to a 60/40 portfolio for this period.
I’m also usually not even a fan of gold or commodities period; they have no place in my portfolio at this time. That said, this would be a good set-and-forget portfolio, making it attractive for investors who want to be hands-off, and it is probably my favorite of the volatility-minimizing, any-economic-climate portfolios like the Permanent Portfolio, Golden Butterfly, and Ivy Portfolio.
However, as I’ll explore later below, levering up this same asset allocation may dramatically improve returns while still maintaining a sensible level of portfolio risk similar to that of an unlevered 100% stocks position, depending on the amount of leverage used.
But first, let’s talk about swapping out those Commodities for something else.
Using Utilities Instead of Commodities (and REITs)
Commodities have been used in the past for their purported diversification benefit from their inherent low correlation to the total stock market, and the nature of the asset class being physical necessities on which futures are traded. The same can be said for real estate (REITs).
Commodities are materials like gold, oil, copper, livestock, agriculture, etc. Their value depends on their usage in production, and is directly related to supply and demand. Any position in commodities is therefore a bet on the short-term future, rather than long-term growth associated with stocks, bonds, real estate, etc. As such, investors have historically turned to commodities as a hedge against uncertainty.
Unfortunately, commodities themselves are unpredictable by their very nature. Crops go bad. The weather changes. Macroeconomic policies shift. Alternatives to things like copper are found. Ownership, storage, and transportation of commodities increase costs.
Stock ownership is a claim on a company’s future earnings. A bond is a contractual obligation between a lender and a borrower, with interest payments going from the latter to the former. Ownership of a commodity is not value-producing; it involves no earnings or cash flow and is simply a bet on production and/or consumption at that time.
Commodities are obviously useful to your everyday life, but not so much as an investment in securities markets. Think of owning a commodities fund as just paying for their storage somewhere.
With technological advances, we would expect commodity prices to fall or stay flat over the long term. After fees (commodities funds are expensive; the popular PDBC costs 0.62%), commodities are likely losing to inflation. And indeed they have historically; even though they soared in 2021, commodities have had negative real returns over the last 100 years.
Essentially, even in inflationary environments, investors have historically been better off over the long term holding just about anything other than commodities. And we now have assets like REITs, TIPS, etc. as alternatives. Even a narrow gold fund should be a better choice than broad commodities. Commodities may offer a tiny diversification benefit to lower volatility and risk, but we still want our diversifiers to have positive future expected returns.
Andrew Tobias, in The Only Investment Guide You’ll Ever Need, maintains that “it is a fact that 90% of all people who play the commodities game get burned. I submit that you have now read all you ever need to read about commodities.”
I don’t bet on sectors, but over the past 20 years, the Utilities sector has had the lowest correlation to the total stock market of any sector, lower than that of both Commodities and REITs – specifically, 0.38 for Utilities compared to 0.53 for Commodities and 0.59 for REITs. Yet REITs and Commodities are both treated as classes of their own and are used as diversifiers, while Utilities are simply thrown under the equities umbrella at their market weight and forgotten.
Using live fund data for Commodities going back to 2002, through 2022, the results corroborate this idea. I backtested portfolios using 90% total stock market with respective 10% tilts using Utilities, Commodities, and REITs. Utilities provided the lowest volatility, smallest drawdown, highest return, and highest risk-adjusted return:
Some other macroeconomic things to consider are:
- We’ll always need energy of some form, whether that’s solar, wind, natural gas, etc.
- Utility operating costs are passed on to the ratepayer.
- Demand for utilities stays relatively constant (it is said to be noncyclical), which is a significant reason why utilities perform comparatively well during market downturns.
- Perhaps most importantly, using Utilities instead of REITs lets you avoid the idiosyncratic, uncompensated risk of the real estate market.
- Of all sectors, Utilities are the least explained by the known equity factors that explain the differences in returns between diversified portfolios. Their R-squared ratio is notably lower than that of REITs. From this paper:
So, at least for the relatively small 7.5% slice for the All Weather Portfolio, I would submit that Utilities are a fine – and likely superior – replacement for Commodities.
Here’s how that swap would have worked out historically:
Notice how the AWP with Utilities beat the “normal” AWP on almost every important metric.
For those wanting this All Weather Portfolio using Utilities instead of Commodities, I’ve created that pie here. It looks like this:
You can invest in this portfolio here.
Applying Leverage To the All Weather Portfolio
Applying leverage to those same allocations gets you enhanced exposure to what is traditionally a low-risk, low-volatility portfolio. Most people don’t realize that Dalio and Bridgewater themselves deploy leverage in their in-house All Weather Fund. So perhaps this could be a solution for a risk-averse investor who still wants to get in on the leverage game in an attempt at higher returns to beat the market.
Of course, this isn’t a new idea. Stemming from the foundation of Markowitz’s Modern Portfolio Theory is the demonstrable idea that we can allocate assets based on their relative “risk” – not dollar amount – and then lever up to increase exposure, thereby constructing a more efficient portfolio than one of a single asset. For example, a classic 60/40 portfolio levered up to match the volatility and risk of 100% equities has delivered higher returns historically. As an aside, this is exactly what the fund NTSX does and is also the basis of the famous Hedgefundie strategy.
Leverage is the necessary key to generating the requisite return for any given efficient (“optimal”) portfolio for which the expected return is too low to meet the investor’s objective. After all, the goal is to fund future consumption, not just achieve the best Sharpe ratio. By “efficiency,” we mean greater return per unit of risk, or what we call risk-adjusted return, of which Sharpe ratio is one definition. This concept holds true across multiple definitions of “risk,” including volatility, tail risk, and even Dalio’s economic “seasons.”
Allocating multiple assets based on risk and levering up makes use of the benefits of diversification, on which I’m always harping. Remember, diversification is the closest thing we have to a free lunch in investing. Leverage allows us to make use of that free lunch while also increasing expected return. We see this demonstrated here in Dalio’s famous retail portfolio, in which return-driving stocks take up a relatively low allocation, while comparatively lower risk bonds comprise a higher allocation, which is uncharacteristic of traditional growth portfolios. Conventional portfolios increase expected return not with leverage but with concentration in riskier assets, e.g. stocks.
The legendary Cliff Asness maintains that risk parity “works” precisely due to investors’ irrational aversion to – or the disallowed use of – leverage, and due to lower risk assets having higher risk-adjusted returns than they theoretically should. The story goes that because some investors are averse to or are not allowed to use leverage and thus go the route of concentration, those assets in which they concentrate have lower expected returns, leaving higher risk-adjusted returns to be had by lower-risk assets. This is consistent with the famous “low beta anomaly” in stocks. There’s also another theoretical underpinning that favors the risk parity and leverage approach: Past volatility is more correlated with future volatility than past returns are with future returns. That is, we can make more reliable guesses about future asset volatility than about future asset pricing.
The knee-jerk aversion to the word “leverage” usually comes from those who have a poor understanding of its utility in multi-asset portfolios. Anyone who has a mortgage is using leverage. If you’ve taken out student loans, you’ve levered up your human capital. Even if you’re 100% equities, the companies you’re holding carry debt on their balance sheets.
Moreover, leveraged scenarios that blew up historically were usually the result of combining leverage with concentration in a single asset. “Return stacking,” as it’s been called, is simply adding different sources of returns within a leveraged framework to avoid sacrificing performance. In doing so, the leverage ratio per se tells us little about the riskiness of the portfolio. Again, products like PSLDX and NTSX are examples of this concept.
Make no mistake that increasing leverage is increasing risk. But Asness submits that, compared to concentration, the use of leverage is a more manageable, more rewarding, and more reliable assumption of additional risk. I’ve said sort of the same thing when discussing stock picking with people, noting that the investor willing to take on the greater risk of picking a handful of stocks should almost certainly prefer to simply apply leverage to a broad index commensurate with the same level of risk instead. Even Warren Buffett, the ever ardent proponent of an S&P 500 index fund, has long used leverage in the form of low-cost insurance float, which he noted has always given Berkshire “quite an edge,” to amass a fortune.
Some obligatory preliminary warnings:
- I’m not a financial advisor and this is not financial advice. It’s for informational and recreational purposes only. Products discussed below are for illustrative purposes only. This is not a recommendation to buy, sell, or transact in any of the products mentioned. Do your own due diligence.
- Past results do not indicate future performance.
- Research and read up on the fundamentals of leverage and the nature of leveraged ETF products before blindly buying in. It can potentially be a very dangerous game. Using leverage increases the potential for greater returns but also the potential for greater losses. The use of leverage increases portfolio risk, and investors face a real possibility of losing all money invested. Specifically with leveraged ETFs, these are relatively new, exotic products that behave differently than “regular,” unleveraged index ETFs. Do your due diligence and read the fine print.
- Similarly, don’t put your entire portfolio in a strategy like this. If you want to play with something like this, do so with a small piece of your total portfolio, and definitely not with money you’ll need in the next 5-10 years. If you’re using M1 Finance, make this a sub-pie within your larger pie.
- I had a hard time finding leveraged commodity index ETF’s (probably for good reason) so I somewhat arbitrarily chose a couple oil-and-gas ones I found. There may be better options. This is more just meant to be a discussion starter and a first iteration from which to improve. I discuss improvements using the Utilities sector below.
- Moreover, I realize this may not be the optimal approach for what it’s trying to achieve. Again, I’m not a fan of gold and commodities; I think I’ve fared better playing around with tilting with utilities and consumer staples in my cauldron of leverage: UPRO, TQQQ, TMF, UTSL, and NEED. This is simply taking the unedited All Weather Portfolio and applying leverage to it. More on this later, with variations using Utilities in place of Commodities.
- Of course, I also realize that applying leverage to the All Weather Portfolio sort of defeats its whole purpose, but the historical volatility, return, and drawdown KPI’s compared to the S&P 500 index and a 60/40 portfolio were much more impressive than I anticipated. More on that later. I’m viewing it as a way to diversify and limit volatility and drawdowns with the underlying assumption that one has already chosen to invest with leveraged products.
- The linked backtests using Commodities only go back to 2006. We get to see performance through the GFC, but not during a runaway period like the late 1970’s in the US. The All Weather Portfolio’s large allocation to long-term treasury bonds still expose it to interest rate risk.
- The fees alone for the gold and commodities may be a major drag on the strategies’ performance, with the trade-off being the extra diversification and subsequent drawdown protection and volatility reduction. They are probably not responsible for any of the actual returns of the strategies. Is it worth it? I don’t know.
- This would require some regular maintenance in the form of rebalancing, as the allocations may stray quickly. Quarterly should be fine. I explore different rebalancing intervals at the end of this post.
- M1 Finance doesn’t allow a 7.5% holding so I used 8% gold and 7% commodities.
Aren’t Leveraged ETF’s Unsuitable for Holding Long-Term?
There’s no shortage of articles lambasting the idea of holding leveraged ETF’s for more than one day, reciting that they should “only be used for intraday trading.”
However, I firmly maintain that the idea that leveraged ETF’s are unsuitable for long-term holding is largely overblown fear mongering that’s been wrongly perpetuated after the financial blogosphere took the scary-sounding “volatility decay” and ran with it.
“Volatility decay” sounds like a bad thing, but viewing it as such is simply a misunderstanding of what it actually is and its underlying mechanics and arithmetic. If you’re curious to see the math, check out this page.
That same “decay” actually works in your favor when the market goes up with decent momentum, which it does more often than it goes down. This is why UPRO, the 3x leveraged S&P ETF, has delivered close to 5x the returns of the SPX since its inception instead of the proposed 3x.
In short, I concede that leverage can indeed be dangerous in certain situations, but can be useful in others.
2x Leveraged All Weather Portfolio
So here’s the portfolio using 2x leverage:
30% SSO – 2x S&P 500
40% UBT – 2x LT treasury
15% UST – 2x IT treasury
7.5% DIG – 2x oil and gas
7.5% UGL – 2x gold
You can add this pie to your M1 Finance portfolio here, but stay tuned for the variation using Utilities below, as I don’t feel completely comfortable using DIG.
3x Leveraged All Weather Portfolio
And here’s that portfolio with 3x leverage:
30% UPRO – 3x S&P 5
40% TMF – 3x LT treasury
15% TYD – 3x IT treasury
7.5% GUSH – 3x oil and gas 7.5% UGLD – 3x gold
Update April 2020: After Direxion’s changing GUSH from 3x to 2x effective March 31, 2020, I would consider using 3x Utilities, REITs, or Consumer Staples, accessed via UTSL, DRN, and NEED respectively. Note that because of this, the 2 backtests immediately below are no longer accurate. Skip to the next section to get the most recent updates and new backtests. Unfortunately, at the time of writing, M1 Finance doesn’t offer the NEED (3x Consumer Staples) ETF. Below I explain why Utilities are probably the best choice, and I’ve included a pie link for that option.
Update June 22, 2020: With the recent market turmoil, Credit Suisse announced today that it plans to delist some of its 3x leveraged VelocityShares™ ETN’s, including UGLD. With no other 3x gold funds available, the next logical choice would be UGL, the 2x gold ETF from ProShares. Keep in mind gold is already an extremely volatile asset, so this shouldn’t throw anything off too much considering it only has a 7.5% allocation. This will slightly change the allocations of the leveraged risk parity portfolio at the end of this post. Also note that because of this, the 2 backtests immediately below are no longer accurate. Skip to the next section to get the most recent updates and new backtests.
Below is a backtest going back to 2006 comparing the above 2 with the Hedgefundie 55/45 strategy and the S&P 500 index.
Note the highest Sharpe ratio (risk-adjusted return), albeit only slightly, for the All Weather 2x above, with volatility almost identical to the S&P 500 but with much better Worst Year and Max Drawdown (from the GFC) stats.
Here’s a backtest going back to 2006 comparing the 2x All Weather above to the unleveraged All Weather Portfolio, a traditional 60/40 stocks/bonds portfolio, and the S&P 500 index:
The 60/40 achieves the highest Sharpe but with much lower return than and a nearly identical Worst Year and Max Drawdown to the 2x All Weather.
Update April 2020: After Direxion’s changing GUSH from 3x to 2x effective March 31, 2020, I would consider using 3x Utilities, REITs, or Consumer Staples, accessed via UTSL, DRN, and NEED respectively. Unfortunately, at the time of writing, M1 Finance doesn’t offer the NEED (3x Consumer Staples) ETF. Below I explain why Utilities are probably the best choice.
3x Leveraged All Weather Portfolio Using Utilities
Here’s a pie using UTSL (3x Utilities) in place of broad commodities. Interestingly, this may actually be a better choice anyway considering the backtest below.
30% UPRO – 3x S&P 500
40% TMF – 3x LT treasury
15% TYD – 3x IT treasury
7.5% UTSL – 3x utilities
7.5% UGLD – 3x gold
Update June 22, 2020: With the recent market turmoil, Credit Suisse announced today that it plans to delist some of its 3x leveraged VelocityShares™ ETN’s, including UGLD. With no other 3x gold funds available, the next logical choice would be UGL, the 2x gold ETF from ProShares. Keep in mind gold is already an extremely volatile asset, so this shouldn’t throw anything off too much considering it only has a 7.5% allocation. This will slightly change the allocations of the leveraged risk parity portfolio at the end of this post.
Backtests of leveraged ETFs below are using my own data series I created in an attempt to accurately simulate how these leveraged ETFs – which are relatively new products – would have behaved historically. This factors in their daily resetting, fees, and borrowing costs, so returns shown are net of those things.
The backtest below compares 1x (“normal”), 2x, and 3x versions of the All Weather Portfolio, all using Utilities instead of Commodities and all using 2x gold since a 3x gold ETF is no longer available. It goes back to 1987 and runs though February, 2021:
Interestingly, the risk-adjusted return of all of them (Sharpe) was identical, and higher than that of the S&P 500. The 2x and 3x versions of the AWP above have higher general and risk-adjusted returns than the S&P 500, though obviously that came with greater volatility.
2x Leveraged All Weather Portfolio Using Utilities
With the loss of UGLD (3x gold), you may be interested in simply using a 2x All Weather Portfolio. Incorporating Utilities in place of Commodities as described above, we arrive at the following allocations:
SSO – 30%
UBT – 40%
UST – 15%
UPW – 8%
UGL – 7%
You can add this pie to your M1 Finance portfolio here.
True Risk Parity
Update January 2023: Previously I had a section here talking about a “true” risk parity weighting scheme based on the per se volatility of each constituent asset, which is usually what we mean when we say “risk parity.”
After a lot of reflection on this initially innocuous experiment, I realized that interpretation – without trying to – basically bastardizes Dalio’s original idea of using specific assets at specific weights to achieve a rough parity of the risks of the aforementioned economic seasons, for which certain assets span multiple seasons.
I also concluded it probably didn’t make much practical sense anyway due to the inclusion of multiple funds of the same asset type as independent inputs of an optimization algorithm. Ironically, it would make more sense to do so only after trimming down the fund selection to a single fund for each asset class, but of course at that point we’re talking about another portfolio entirely. In any case, it created a pretty significantly different portfolio, relatively speaking considering the aforementioned seasons-parity thesis underpinning Dalio’s original proposition.
Lastly, it was also confusing for readers not knowing whether or not they should consider what was essentially a theoretical exercise as a viable real-world investment strategy.
For these reasons, I’ve decided to remove that discussion in its entirety. I probably should have never published it in the first place. You can perhaps take solace in the fact that it backtested worse than everything else you see on this page.
Addressing Concerns Over Bonds
I’ve gotten a lot of questions about the use, utility, and viability of bonds being a significant chunk of the All Weather Portfolio. I’ll briefly address and hopefully quell these concerns below.
Common comments nowadays about bonds include:
- “Bonds are useless at low yields!”
- “Bonds are for old people!”
- “Long bonds are too volatile and too susceptible to interest rate risk!”
- “Corporate bonds pay more!”
- “Interest rates can only go up from here! Bonds will be toast!”
- “Bonds return less than stocks!”
So why use bonds?
- Bond duration should be roughly matched to one’s investing horizon, over which time a bond should return its par value plus interest. Betting on “safer,” shorter-term bonds with a duration shorter than your investing horizon could be described as market timing, which we know can’t be done profitably on a consistent basis. This is also a potentially costlier bet, as yields tend to increase as we extend bond duration, and long bonds better counteract stock crashes. More on that in a second.
- Moreover, in regards to bond duration, we know market timing doesn’t work with stocks, so why would we think it works with bonds and interest rates? Bonds have returns and interest payments. A bond’s duration is the point at which price risk and reinvestment risk – the components of what we refer to as a bond’s interest rate risk – are balanced. In this sense, though it may seem counterintuitive, matching bond duration to the investing horizon reduces interest rate risk and inflation risk for the investor. An increase in interest rates and subsequent drop in a bond’s price is price risk. A decrease in interest rates means future coupons are reinvested at the lower rate; this is reinvestment risk. A bond’s duration is an estimate of the precise point at which these two risks balance each other out to zero. If you have a long investing horizon and a short bond duration, you have more reinvestment risk and less price risk. If you have a short investing horizon and a long bond duration, you have less reinvestment risk and more price risk. Purposefully using one of these mismatches in expectation of specific interest rate behavior is intrinsically betting that your prediction of the future is better than the market’s, which should strike you as unlikely.
- It is fundamentally incorrect to say that bonds must necessarily lose money in a rising rate environment. Bonds only suffer from rising interest rates when those rates are rising faster than expected. Bonds handle low and slow rate increases just fine; look at the period of rising interest rates between 1940 and about 1975, where bonds kept rolling at their par and paid that sweet, steady coupon.
- New bonds bought by a bond index fund in a rising rate environment will be bought at the higher rate, while old ones at the previous lower rate are sold off. You’re not stuck with the same yield for your entire investing horizon.
- We know that treasury bonds are an objectively superior diversifier alongside stocks compared to corporate bonds. This is also why I don’t use the popular total bond market fund BND. It has been noted that this greater degree of uncorrelation between treasury bonds and stocks is conveniently amplified during periods of market turmoil, which researchers referred to as crisis alpha.
- Again, remember we need and want the greater volatility of long-term bonds so that they can more effectively counteract the downward movement of stocks, which are riskier and more volatile than bonds. We’re using them to reduce the portfolio’s volatility and risk. In short, more volatile assets make better diversifiers. Dalio seems to be one of the few who truly understand this. Designers of many other lazy portfolios are often using short or intermediate bonds, of which the volatility contribution pales in comparison to that of stocks.
- This one’s probably the most important. We’re not talking about bonds held in isolation, which would probably be a bad investment right now. We’re talking about them in the context of a diversified portfolio alongside stocks, for which they are still the usual flight-to-safety asset during stock downturns. Though they admittedly provided a major boost to this strategy’s returns over the last 40 years while interest rates were dropping, a low interest rate environment does not suddenly mean bonds stop doing their job. Even if rising rates mean bonds are a comparatively worse diversifier (for stocks) in terms of future expected returns during that period does not mean they are not still the best diversifier to use.
- Similarly, short-term decreases in bond prices do not mean the bonds are not still doing their job of buffering stock downturns.
- Historically, when treasury bonds moved in the same direction as stocks, it was usually up.
- Interest rates are likely to stay low for a while. Also, there’s no reason to expect interest rates to rise just because they are low. People have been claiming “rates can only go up” for the past 20 years or so and they haven’t. They have gradually declined for the last 700 years without reversion to the mean. Negative rates aren’t out of the question, and we’re seeing them used in some foreign countries.
- Bond convexity means their asymmetric risk/return profile favors the upside.
- Long bonds have beaten stocks over the last 20 years. We also know there have been plenty of periods where the market risk factor premium was negative, i.e. 1-month T Bills beat the stock market – the 15 years from 1929 to 1943, the 17 years from 1966-82, and the 13 years from 2000-12. Largely irrelevant, but just some fun stats for people who for some reason think stocks always outperform bonds.
- Again, I acknowledge that post-Volcker monetary policy, resulting in falling interest rates, has driven the particularly stellar returns of the raging bond bull market since 1982, but I also think the Fed and U.S. monetary policy are fundamentally different since the Volcker era, likely allowing us to altogether avoid runaway inflationary environments like the late 1970’s going forward.
David Swensen summed it up nicely in his book Unconventional Success:
“The purity of noncallable, long-term, default-free treasury bonds provides the most powerful diversification to investor portfolios.”
Ok, bonds rant over. If you still feel some dissonance, the next section may offer some solutions.
Reducing Volatility and Drawdowns and Hedging Against Inflation and Rising Rates
It’s unlikely that any of the following will improve the total return of the portfolio, and whether or not they’ll improve risk-adjusted return is up for debate, but those concerned about inflation, rising rates, volatility, drawdowns, etc. and/or the future ability of long bonds to adequately serve as an insurance parachute may want to diversify a bit further with some of the following options:
- LTPZ – long term TIPS (inflation-linked bonds).
- SCHP – intermediate TIPS.
- VTIP – short TIPS.
- FNCL – financials (banks tend to do well when interest rates rise because they make more money on loans).
- FAS – 3x financials.
- VWO – emerging markets (diversify outside the U.S.).
- EDC – 3x emerging markets.
- EURL – 3x Europe.
- MCHI – China (lowly correlated to the U.S.).
- YINN – 3x China.
- VNQ – REITs (arguable diversification benefit from “real assets”).
- DRN – 3x REITs.
- EDV – U.S. Treasury STRIPS.
- TYD – 3x intermediate treasuries – less interest rate risk.
- UDOW – 3x the Dow – greater loading on Value and Profitability factors than UPRO.
- TNA – 3x Russell 2000 – small caps for the Size factor.
- TAIL – OTM put options ladder to hedge tail risk. Mostly intermediate treasury bonds and TIPS.
I may explore some new backtests with some of these as added diversifiers in the near future.
What we can say about the portfolio’s heavy use of bonds is that rising rates would cause lower returns for this portfolio going forward compared to what it’s seen in the past, even if the bonds still help reduce volatility and risk. Investors can mitigate that inflation risk by using TIPS, international stocks, and perhaps a nominal bond barbell using long bonds and short bonds (instead of the prescribed long and intermediate), as short bonds are a decent inflation “hedge” since new bonds at higher rates can be rolled faster.
As I’ve noted, while gold and broad commodities would almost certainly help weather an inflationary period “better” than just stocks and nominal bonds, I don’t have as much confidence in them as a true inflation “hedge,” and I’d much rather use other assets like TIPS and short bonds. In fairness, TIPS weren’t even around yet when Dalio first proposed the All Weather Portfolio’s components.
Optimal Rebalance Interval
Regular rebalancing is necessary with any of these leveraged portfolios, as the leveraged funds will likely quickly stray from their target allocations. Below I’ve compared the historical metrics from different rebalance intervals (annually, semi-annually, quarterly, and monthly) for the 3x version using Utilities for the period 1987-2019:
|Interval||CAGR||St. Dev.||Max Drawdown||Sharpe|
As I suspected, quarterly rebalancing performed the best historically by a decent margin, and would probably be the best choice going forward.
Were I to implement any of these leveraged versions, I’d probably go with the “regular” 3x using Utilities, as the risk parity now with UGL doesn’t seem worth the trade-off to me, and rebalance quarterly, using M1 Finance. M1 features dynamic rebalancing so it will automatically direct new deposits to maintain your target allocations until the point at which your portfolio value becomes so high that your regular deposits can’t keep things in balance (a great problem to have).
Canadians can find the above ETFs on Questrade or Interactive Brokers. Investors outside North America can use eToro or possibly Interactive Brokers.
That doesn’t mean you should blindly copy it. I’m relatively young with a long investing horizon and a high risk tolerance. As I said earlier, assess your own personal factors before diving into leveraged funds. The assumption of more risk, especially with the use of leverage, gives you the potential for more reward, but also the potential for greater losses.
In any case, one should deleverage as time passes. If you have a shorter time horizon, if you don’t have the stomach for leverage (most don’t), or if you simply don’t care for any of this more complicated leverage stuff, the “normal,” original All Weather Portfolio up at the top is perfectly fine. As I noted, I’d still swap out the commodities for utilities due to my contempt for the former.
Hopefully it goes without saying that all of the above leveraged options are not ideal for a taxable account due to the need for regular rebalancing.
Which one would you choose? Does the recent market turmoil have you reevaluating your true risk tolerance and considering an “all-weather” approach? Let me know what you think in the comments.
M1 Finance currently has a promotion for up to $500 when initially funding an investment account.
M1 also currently has a transfer promotion to earn up to $10,000 when transferring in an existing account from another broker, as outlined below:
Disclosures: I am long VWO, TMF, UPRO, and UTSL in my own portfolio.
Interested in more Lazy Portfolios? See the full list here.
Disclaimer: While I love diving into investing-related data and playing around with backtests, I am in no way a certified expert. I have no formal financial education. I am not a financial advisor, portfolio manager, or accountant. This is not financial advice, investing advice, or tax advice. The information on this website is for informational and recreational purposes only. Investment products discussed (ETFs, mutual funds, etc.) are for illustrative purposes only. It is not a recommendation to buy, sell, or otherwise transact in any of the products mentioned. Do your own due diligence. Past performance does not guarantee future returns. Read my lengthier disclaimer here.
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David P Vartian says
C0ntinuing my reading of your articles. In this scheme, I see suggested utilities….ok…. if we go with Gold, do we go with IAU or Phys? I have seen that you had swap one with the other in some of your other reviews.
John Williamson says
Depends on account type – PHYS is more tax efficient if you don’t care about filing that extra form at tax time for it.
John Batayya says
In the 2x Leveraged All Weather Portfolio Using Utilities why do you still allocate 7% to gold?
John Williamson says
Uncorrelation to other assets to reduce volatility and risk.
What a tantalizing article! You can’t offer financial advice, but what do you think of the idea of a teenager pumping his summer earnings into a portfolio like this in a Roth IRA, putting $6K in per year for two or three years and then just letting it sit, rebalanced quarterly, for another 50 years?
Or is there any reason not to continue adding $6K per year to the Roth until one is close enough to retirement to want to deleverage? If one also has an employer-supplied 401(k), it seems like the Roth IRA could be an excellent way to attempt a moon-shot, ending up with $130 million or so.
A bit too late to the party but what a great article.
I’m trying to use portfoliovisualizer to tailor to my risk appetite but I cannot get UPRO to be simulated way to 1990 like in your last graph. Do you use a special plan or setting to do this?
FYI, in my sim: “Note: The time period was constrained by the available data for ProShares UltraPro S&P500 (UPRO) [Jul 2009 – Jul 2022].”
Thank you for your time and great work!
John Williamson says
Thanks! Made my own sim data.
Hi John – great post! Really interesting that the original AWP weightings don’t seem to have any quant logic behind them.
What are your thoughts on intl diversification? I’m surprised that Dalio didn’t have any Ex US stocks in the original AWP given how much he has been talking about the opportunities there.
Anindya Banerjee says
This is an awesome insight … might be the holy grail between optimized return in terms of ideal balance between risk taking and de-risking. I have couple of n00bie questions though.
In all your charts [from portfoliovisualizer] is the assumption it’s a one time investment of 10K and just let the money grow over time? Or has there been a periodic investment done? Also, did you get better backtesting results using rebalancing? At what frequency?
John Williamson says
Not silly questions at all! Yes, just a one-time $10k investment and annual rebalancing.