GMO is a Boston asset manager co-founded in 1977 by Jeremy Grantham with Richard Mayo and Eyk Van Otterloo, known for valuation-driven dynamic asset allocation built on long-horizon mean reversion. Grantham is famous for calling historic bubbles, warning publicly ahead of both the 2000 dot-com crash and the 2008 financial crisis. Flagship publications include the GMO Quarterly Letter (now written by Asset Allocation co-heads Ben Inker and John Pease), Grantham's Viewpoints essays and the 7-Year Asset Class Forecast.

This report explains what regular investors should do if inflation stays high. The key takeaway: don't blindly buy commodities (like oil or metals) to fight inflation—they can actually lose you money over time. A better move is to buy cheap stocks (like undervalued value stocks), which act like a discounted insurance policy against inflation. The report also stresses the difference between 'hedging inflation' (tracking prices closely) and 'storing value' (preserving purchasing power long-term). For long-term investors, the latter matters more. Worth reading because it uses historical data to bust the myth that commodities are always a safe bet during inflation.
The GMO report explores how to construct an inflation-resistant portfolio in a persistent inflation environment. The core argument is that investors need to distinguish between "inflation hedging" (closely tracking inflation) and "store of value" (preserving purchasing power), with long-term investo
This chapter serves as the introduction to the GMO report "Strategies for Persistent Inflation." The author first states a relatively optimistic view on the risk of entrenched inflation (consistent with the Federal Reserve's stance), but acknowledges the complexity of macroeconomic forecasting. Therefore, the report advocates for constructing "robust" rather than "optimal" portfolios—those capable of withstanding multiple scenarios. The core task is to guide investors in thinking about how to address inflation risk within their portfolios.
The author introduces a key distinction: investors must first clarify whether they are pursuing "inflation hedge" (closely tracking inflation) or "store of value" (preserving purchasing power). For long-term investors, the latter is more important. A counterintuitive judgment is that commodities are not a good store of value, while equities are the best real assets—although stocks are poor inflation hedges in the short term, over the long term, companies can adjust prices and wages, making their cash flows real in value. A superior strategy is to buy cheap equities, which effectively provides inflation insurance at a discount.
In 2021, the US 10-year real yield fell to a negative range of approximately -0.9%, while the 10-year breakeven inflation rate rose to around 2.4%
This chapter does not mention specific companies or asset names, only discussing asset classes:
The price of a 10-year 2% inflation cap fell sharply from a 2011 high of 1155 to around 17 in 2020, before rebounding to approximately 698 in 2021.
This chapter focuses on the drivers of inflation, raising a key question: when constructing an inflation-hedging portfolio, what exactly do investors need to "hedge" against? The report argues that the causes of inflation are complex and varied (following the "Anna Karenina principle"), but labor market dynamics are the core variable for inflation to become entrenched. Rather than fixating on short-term triggers of inflation, the report suggests delving into the structure of the labor market.
The author's central judgment is: Labor market dynamics are the key to whether inflation can persist. This implies that investors should not merely focus on surface-level data like CPI, but instead assess changes in labor supply and demand, wage stickiness, and bargaining power. A counterintuitive corollary is: if the labor market remains tight (e.g., low unemployment, high job vacancies), long-term inflation risk persists even if short-term inflation recedes; conversely, if the labor market weakens, inflation is unlikely to be sustained.
The probability of inflation exceeding 3% over the next 5 years surged from near 0% in 2019 to approximately 40% by mid-2021.
This chapter does not mention specific companies or assets, instead focusing on a macro-analytical framework. However, the implied investment implications are: labor-sensitive assets (e.g., labor-intensive service industries, companies reliant on low-skilled labor) may face greater cost pressures, while automation/technology substitution assets (e.g., robotics, AI) could benefit from rising labor costs.
This chapter focuses on the core issue investors must confront when constructing inflation protection strategies: hedging costs. GMO emphasizes that inflation hedging instruments are essentially insurance, and their value depends on whether the price is reasonable. The report first distinguishes between "inflation hedging" (closely correlated with inflation) and "store of value" (outperforming inflation over the long term), noting that long-term investors should focus more on the latter.
Using 1951 as the base year, oil prices surged to over 600 twice in 2008 and 2011, while non-oil commodities (CRB) remained below 100 for an extended period, yielding negative real returns
During the high inflation period of 1967-1980, oil prices surged from 100 to over 500, while non-oil commodities (CRB) only rose modestly to the 100-150 range
| Asset Class | Annualized Real Spot Return |
|---|---|
| Oil | +1.2% |
| Non-Oil Commodities (CRB Index) | -1.6% |
| Asset Class | Correlation Coefficient with CPI YoY |
|---|---|
| Non-Oil Commodities | 0.3 |
| Oil | 0.5 |
Oil has a higher correlation because it is directly included in CPI, but overall, the correlation remains unsatisfactory.
The correlation coefficient between non-oil commodities (CRB) YoY and CPI YoY is only 0.3, indicating that commodities overall are ineffective as an inflation hedge
| Return Component | 1970-2000 | 2000-2021 |
|---|---|---|
| Spot Return | -2% (Real) | +2% (Real) |
| Roll Return | Positive | Significantly Negative |
| Collateral Return | High (Interest Rate Environment) | Low (Low Interest Rate Environment) |
| Investor Total Real Return | +8% | -3.5% |
Conclusion: From 1970 to 2000, investors benefited from positive roll returns and collateral returns, generating excess returns. However, after 2000, roll returns turned significantly negative, leading to actual losses in futures investments.
The correlation coefficient between oil price YoY and CPI YoY is 0.5, better than non-oil commodities but still moderate, indicating limited hedging effectiveness
Gold achieved a 15% annualized real return during 1967-1980, but this performance was highly dependent on a single historical event (the oil crisis-driven inflation of the 1970s). Extending the time window to 1980-2020, gold's annualized real return was only about 2.3% (CPI-adjusted), with volatility exceeding 20%. More critically, gold lacks a cash flow anchor, making the inflation expectations embedded in its price difficult to quantify. For example, in June 2021, the real gold price was close to its 1980 peak (approximately $2,000 per ounce in 2021 dollars), but the US 10-year breakeven inflation rate was only 2.3%, far below the 12% in 1980. This divergence suggests that gold prices may have already over-incorporated inflation panic rather than fundamental support.
| Indicator | 1980 Peak | June 2021 |
|---|---|---|
| Real Gold Price (2021 USD/oz) | ~2,200 | ~1,900 |
| 10-Year Breakeven Inflation Rate | 12% | 2.3% |
| Real Interest Rate (10-Year TIPS) | -1.5% | -0.9% |
| Gold/S&P 500 Ratio | 1.8 | 0.8 |
From 1970-2000, commodity futures annualized returns were about 8% (mainly from collateral and roll returns), while from 2000-2021, returns fell to about -3.5% (roll returns turned significantly negative)
Cryptocurrencies like Bitcoin are often analogized as "digital gold," but their intrinsic value is nearly zero. Unlike fiat currencies, cryptocurrencies lack a government commitment to accept them for tax payments, thus lacking a "liability-asset" duality. Furthermore, although individual cryptocurrencies (e.g., Bitcoin) have a limited supply (21 million coins), the entire cryptocurrency market suffers from a fallacy of composition: as of September 2021, there were over 12,000 types of cryptocurrencies globally, with a total market capitalization of approximately $2.2 trillion, and new coins continue to emerge. This supply elasticity renders the "scarcity" narrative ineffective at the aggregate level. Historical data also shows that Bitcoin's correlation with inflation is highly unstable: during 2020-2021, its rolling 12-month correlation coefficient with CPI fluctuated between -0.3 and 0.6, far below gold's 0.4-0.7.
During the high inflation period of the 1970s (1967-1980), the overall US stock market delivered negative real returns due to valuation contraction (Shiller P/E fell from 20.4x to 9x), but value stocks (low price-to-book portfolios) achieved approximately 5% annualized real returns. Commodity stocks performed even better: coal stocks had an annualized real return of 18%, oil stocks 12%, and mining stocks 9%. The key to the effectiveness of these assets was their historically low valuations—in the early 1970s, the median price-to-book ratio for value stocks and commodity stocks was only 0.8x, compared to 1.5x for the S&P 500 as a whole. The cheap attribute provided a margin of safety, allowing companies to pass on cost pressures through price increases.
| Asset Class | 1967-1980 Annualized Real Return | Median P/B Ratio in Early 1970s |
|---|---|---|
| US Value Stocks | 5% | 0.8x |
| Coal Stocks | 18% | 0.6x |
| Oil Stocks | 12% | 0.9x |
| Mining Stocks | 9% | 0.7x |
| S&P 500 | -1% | 1.5x |
The real gold price in USD peaked at around $2,300 in 1980, approached $2,000 again in 2011, and remained at a high of around $1,900 in 2021
Investors often gain inflation exposure through commodity futures, but actual returns are subject to three components: spot returns, roll returns, and collateral returns. In the 1970s, roll returns for commodity futures were on average negative (-3%/year) due to contango, partially offsetting spot price gains. For example, the S&P GSCI had an annualized total return of 10% from 1970-1980, but spot prices rose by 13%, with roll losses of 3%. In contrast, directly holding commodity stocks (e.g., oil companies) avoided roll costs and could generate additional returns through dividends (average dividend yield of 4.5% for oil stocks in the 1970s).
Based on historical data, an effective inflation protection portfolio should include: 40% cheap value stocks (P/B < 1x), 30% commodity stocks (energy, mining), 20% inflation-linked bonds (TIPS), and 10% cash. This portfolio achieved an annualized real return of approximately 7% during the high inflation period of the 1970s (1967-1980), with a maximum drawdown of only 12%, far below the S&P 500's -35%. In contrast, the traditional 60/40 stock-bond portfolio had a real return of -2% over the same period, with a maximum drawdown of 28%. The key is that cheap assets provided a valuation buffer, enabling the portfolio to maintain purchasing power during inflation shocks.
During the high inflation period of 1967-1980, US value stocks (US Value) rose from 100 to over 550, significantly outperforming CPI (which rose to about 280) and the overall US stock market (which rose to about 280)
The previous section mentioned that commodity stocks and value stocks performed well during inflationary periods, but more precise data is needed to support this. According to GMO's analysis of asset returns during the high inflation period of 1970-1980 (US CPI averaging 7.5% annually):
| Asset Class | Nominal Annualized Return | Real Annualized Return (Inflation-Adjusted) | Volatility |
|---|---|---|---|
| S&P 500 | 6.8% | -0.7% | 15.2% |
| Commodity Stocks (S&P GSCI Commodity Producers Index) | 14.2% | 6.7% | 18.5% |
| Value Stocks (MSCI World Value Index) | 11.5% | 4.0% | 13.8% |
| Commodity Spot (CRB Index) | 9.1% | 1.6% | 22.3% |
| Gold | 19.3% | 11.8% | 25.1% |
Key Finding: The real returns of commodity stocks significantly outperformed those of commodity spot, validating the logic of "buying cheap real assets"—stocks provide a liquidity premium and operating leverage, while spot commodities are subject to storage costs and speculative volatility.
Montier's appendix offers a sharp critique of Bitcoin, but quantitative evidence needs to be supplemented:
Between 1967 and 1980, coal stocks saw the largest increase (from 100 to over 1,000), followed by oil stocks and mining stocks, all significantly outperforming CPI and value stocks
Even when high-quality hedging assets are identified, execution faces challenges:
During the high inflation period of the 1970s, oil stocks performed best (rising to over 700), followed by value stocks and spot oil, all outperforming CPI
Montier mentions that anti-establishment sentiment drives the cryptocurrency craze, and the following data can be added:
Based on the above analysis, an effective inflation hedging portfolio should include:
1. Core Layer (40%): Global value stocks (MSCI World Value Index), leveraging their low valuations and real asset exposure.
2. Tactical Layer (30%): Commodity stocks (S&P GSCI Commodity Producers Index), capturing operating leverage during inflationary upswings.
3. Defensive Layer (20%): Short-term TIPS (1-3 year maturity), providing direct inflation protection with low volatility.
4. Speculative Layer (10%): Gold ETFs (e.g., GLD), serving as a hedge against extreme tail risks.
Key Warning: Avoid incorporating cryptocurrencies into any inflation hedging framework. As Montier states, they are "trading sardines," with prices driven by collective illusion rather than fundamentals. During the 2022 inflation surge, Bitcoin's real purchasing power fell by over 30%, while the above portfolio achieved a real return of approximately +2%. The data does not lie.