Ray Dalio’s All Weather Portfolio and the place for fixed income in the portfolio

After reading Principles, by Ray Dalio, this past winter (which I highly recommend as it gave me many, many things to think about) I have been reconsidering my position on being highly underweight fixed income. Perhaps you are similar to me and kept waiting for rates to move up for an attractive entry point. Ray Dalio’s All Weather portfolio is something to consider.

Now the ten year treasury is hovering around 3% and as I noted previously, is not that far off from long-term averages. Does it make sense to allocate more of our portfolios to fixed income now?

Perhaps you have heard of Ray Dalio’s “All Weather Portfolio” in which he allocates a surprising amount to fixed income, as shown below. His rationale centers on a few factors. One is that by having weighting your portfolio at 80% stocks / 20% bonds is actually heavily weighting “risk”, given the volatility of stocks vs. bonds and for someone like Ray Dalio who is trying to build wealth over the long, long term, performing well in down markets matters.

Bonds should go up when stocks go down due to “flight to quality” impact in a down market. The allocation to gold and commodities provides extra diversification, plus these assets perform well during periods of high inflation, whereas bonds will not perform well.

  • 40% long-term bonds
  • 15% intermediate-term bonds
  • 30% stocks
  • 7.5% gold
  • 7.5% commodities

“The principles behind All Weather Portfolio relate to answering a deceptively straight-forward question explored by Ray with co-Chief Investment Officer Bob Prince and other early colleagues at Bridgewater – what kind of investment portfolio would you hold
that would perform well across all environments, be it a devaluation or something completely different?”

The results are pretty surprising. Dalio says he’s back-tested the portfolio from the great depression, to the Weimar Republic when hyperinflation set into Germany. If you choose not to read Principles, then I implore you to read the white paper on Bridgewater’s website on the background of the strategy.

Using portfoliovisualizer.com, I decided to see the results for myself and ran different 3 portfolio cases from 1978-2017.

The first is based on Dalio’s All Weather Portfolio, though admittedly, I had to do a 15% allocation to gold as a general commodities fund was not available that far back. I then ran a 60% stocks / 40% intermediate treasuries portfolio and then an 80% stocks / 20% intermediate treasuries portfolio.

Let me first say that it shouldn’t be too surprising that the higher stock portfolio wins out. Stocks have been a terrific asset class over this time period. Its higher risk, so higher return makes sense.

But look at the results of portfolio 1, the All Weather Portfolio. Results over this time period are not too shabby, logging a 9.4% CAGR and growing $10K to $380K. But the really interesting thing to me is the worst year and worst drawdown. The worst year was only down ~4%! Compare that to the stock heavy portfolio of -25% and having a near 40% loss in portfolio value during the year. Makes me think of “Slow and steady wins the race”

PV All WeatherPV ALl Weather Chart

This analysis isn’t perfect for a host of reasons. Bonds have been in a bull market for 30 years and were at much higher rates during this time period and subsequently went way down. I do like a quote from the white paper though, in which it states,

“In the US after peaking above 15% in the 1980s, cash rates are now zero. Stocks and bonds price relative to and in excess of cash rates. A 10-year bond yield of 2% is low relative to history but high relative to 0% cash rates. What is unusual about the recent environment is the price of cash, not the pricing of assets relative to cash.”

For further analysis on portfolio outcomes that aren’t tied to back testing, I decided to build a monte carlo spreadsheet analyzing a 50/50 portfolio of stocks and bonds. I then ran 10 random simulations over 40 years to see where the portfolios would shake out. This was pretty simple analysis and I probably should’ve added a component that says, “if stocks are down, then bonds are flat or up”, but decided to keep it random.

Given how high the standard deviation is for bonds, it is no surprise that the highest returning situations are driven by bonds outperforming, but we should also not ignore the simulations where in year 38 out of 40, stocks fall 45%, as shown in scenario 3. Bond provide decent offset to a devastating scenario.

Monte Carlo assumptions

Monte Carlo

I think the takeaway I have is that bonds / fixed income can make sense in the portfolio, depending on what you buy. So far, all I’ve shown is buying treasuries, but think there are solid opportunities in high yield and municipal bonds which are much more stable than stocks, but provide good returns.

I’ll follow up in another article on a bond fund that I think makes a lot of sense to buy for a pretty attractive return.


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