Permanent Portfolio Shakedown Part 1

The Permanent Portfolio is an asset allocation concept first introduced by Harry Browne in 1982. The Permanent Portfolio Family of Funds website has this to say about the strategy, which they have been running in mutual fund format for about 20 years.

Established in 1982, in an era of stagnant economic growth and rampant inflation, Permanent Portfolio seeks to provide a sound structure and disciplined approach to asset allocation. The Fund was born in an environment where investors didn’t know where to turn. Regardless of what an investor did, they were losing money. Harry Browne, one of the founders of the fund stated, “It’s easy to think you know what the future holds, but the future invariably contradicts our expectations. Over and over again we are proven wrong when we bet too much on our expectations. Uncertainty is a fact of life.” No one can accurately predict the future.

[The] Permanent Portfolio recognizes this limitation and seeks to invest a fixed “Target Percentage” of its assets to six carefully chosen, diverse and “non-correlated” investment categories. Such diversification in a single mutual fund seeks to mitigate risk regardless of the economic climate. [Emphasis ours]

The Permanent Portfolio mutual fund purports to invest in 6 major asset classes according to the fixed prescribed weights in Chart 1, but the asset classes in Chart 1 leave a lot of ‘wiggle room’,  so we performed a factor analysis to determine asset class exposures over the past 3 years (Chart 2).

Chart 1. PRPFX weights from the fact sheet.

Source: Permanent Portfolio Family of Funds

The factor analysis below is the product of a multiple regression analysis whereby the daily performance of the Permanent Portfolio mutual fund is regressed on a basket of global risk factors. The factors in Chart 2. were statistically significant in explaining the performance of the portfolio over the past 3 years; non-significant factors were rejected.

Chart 2.

Source: Yahoo finance

You can see that the performance of the Permanent Portfolio can largely be attributed to high-grade U.S. bonds (AGG), U.S. stocks (VTI), and Gold (GLD) over the past three years, with each contributing about 20% to performance. All 8 factors together explain over 90% of portfolio returns for the period (see R-Squared = 0.92885).

On several occasions, Mr. Brown indicated that a simple equal allocation to stocks, gold, Treasuries, and T-bills would probably achieve the same goals as the more complex portfolio used in his mutual fund.  Empirically, these four assets have worked very well together in portfolios for at least one reason: the long-term ex-post pair-wise correlations between the assets is essentially zero over the past 40 years, which means they offer superb long-term diversification potential.

A High Hurdle

Before we investigate the performance of the Permanent Portfolio, let’s set the stage by taking a look at the performance of some more conventional approaches using daily total return data back to 1970. All multi-asset portfolios are rebalanced quarterly.

Chart 3. U.S. Total Stock Market

Source: Ken French

Chart 4. 60/40 Stocks/Treasuries

Source: Ken French, Shiller

Equities and the 60/40 portfolio have delivered essentially the same 9.6% total returns since 1970, (an astonishing blow to CAPM), but the 60/40 portfolio delivered its returns with almost 40% less volatility (10% vs. 17%) and drawdown (30% vs. 53%).

Chart 5. Permanent Portfolio (Equal Weight stocks, gold, Treasuries, and cash), 1970 – 2012

Source: Ken French, Shiller, CRB

The Permanent Portfolio provided returns of 8.55% per year over the same period, which is over 1% per year lower than either stocks or the 60/40 portfolio. However, because of the low correlations between the assets, this portfolio had substantially lower risk than 60/40. Ex-post volatility averaged less than 7% versus 10.4% for 60/40, and the maximum drawdown was reduced by almost half (18% vs. 30%)

The plain-vanilla version of this strategy is quite compelling on its own, and tough to beat. Unfortunately, the approach faces the same challenge as other static allocation approaches in the current environment: record low interest rates and expensive stocks and commodities, which suggests that returns to this approach may not be as strong over the next several years.

In Part 2 of this series we are going to explore some simple techniques that might further improve the performance of this approach, including volatility management, risk parity, moving averages and finally Adaptive Asset Allocation.

Disclaimer

Confidential and proprietary information. The contents hereof may not be reproduced or disseminated without the express written permission of ReSolve Asset Management Inc. (“ReSolve”). ReSolve is registered as an investment fund manager in Ontario and Newfoundland and Labrador, and as a portfolio manager and exempt market dealer in Ontario, Alberta, British Columbia and Newfoundland and Labrador.
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Forward-Looking Information. The contents hereof may contain “forward-looking information” within the meaning of the Securities Act (Ontario) and equivalent legislation in other provinces and territories. Because such forward-looking information involves risks and uncertainties, actual performance results may differ materially from any expectations, projections or predictions made or implicated in such forward-looking information. Prospective investors are therefore cautioned not to place undue reliance on such forward-looking statements. In addition, in considering any prior performance information contained herein, prospective investors should bear in mind that past results are not necessarily indicative of future results, and there can be no assurance that results comparable to those discussed herein will be achieved. The contents hereof speaks as of the date hereof and neither ReSolve nor any affiliate or representative thereof assumes any obligation to provide subsequent revisions or updates to any historical or forward-looking information contained herein to reflect the occurrence of events and/or changes in circumstances after the date hereof.

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General information regarding hypothetical performance and simulated results. These results are based on simulated or hypothetical performance results that have certain inherent limitations. Unlike the results in an actual performance record, these results do not represent actual trading. Also, because these trades have not actually been executed, these results may have under- or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated or hypothetical trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account or fund managed by ReSolve will or is likely to achieve profits or losses similar to those being shown. The results do not include other costs of managing a portfolio (such as custodial fees, legal, auditing, administrative or other professional fees). The contents hereof has not been reviewed or audited by an independent accountant or other independent testing firm. More detailed information regarding the manner in which the charts were calculated is available on request. Any actual fund or account that ReSolve manages will invest in different economic conditions, during periods with different volatility and in different securities than those incorporated in the hypothetical performance charts shown. There is no representation that any fund or account will perform as the hypothetical or other performance charts indicate.

General information regarding the simulation process. The systematic model used historical price data from Exchange Traded Funds (“ETFs”) representing the underlying asset classes in which it trades. Where ETF data was not available in earlier years, direct market data was used to create the trading signals. The hypothetical results shown are based on extensive models and calculations that are available for any potential investor to review before making a decision to invest.