Was die 1970er uns über Geldanlage lehren (und welche 4 ETFs jetzt alle schlagen)
The video analyzes the stagflation period of 1972-1982 in the USA, where the inflation-adjusted S&P 500 lost over 61%, and draws parallels to current 2026 economic conditions. The presenter identifies four asset classes — precious metals, broad commodities, defensive sectors, and value/small cap stocks — that outperformed during that decade, and recommends five specific ETFs to build a 'stagflation sleeve' as portfolio insurance.
Summary
The video opens with a striking historical scenario: investors in the S&P 500 between 1972 and 1982 lost over 60% of their wealth in real (inflation-adjusted) terms, not through a dramatic crash, but through a slow, grinding destruction caused by stagflation — a combination of high inflation (averaging 8.7% annually), low economic growth (2.4% GDP), and high unemployment (around 11%). The presenter explains that this defied the classical economic textbook assumption that high inflation and high unemployment could not coexist simultaneously.
The video then draws parallels to April 2026: German inflation has risen to 2.7% (a high since January 2024), the IMF has lowered its growth forecast three times in the current year, and asset classes that dominated the 1970s — gold (+12% YTD), energy (+20% YTD), and broad commodities (+26% YTD) — are already significantly outperforming the S&P 500 (+4.4% YTD). The presenter compares structural similarities such as oil supply shocks (OPEC embargo in 1973 and 1979 vs. Iranian tensions and potential Hormuz blockade today), and the Federal Reserve being politically constrained from raising interest rates aggressively.
The historical backtest data is then presented in detail. The Dow Jones lost over 65% in nominal terms from 1972 to 1982, the S&P 500 lost 61% in real terms, and the classic 60/40 stock-bond portfolio proved to be a 'capital destruction machine.' The 10-year Treasury yield rose from 6% to 15%, devastating bond prices. Corporate profit margins fell from 18% to 11% of GDP, a nearly 40% decline. European markets fared similarly, with MSCI Europe returning roughly 0% nominally but negative in real terms, and German inflation running at 5.1% annually over the same period.
In contrast, four asset classes delivered strongly positive real returns during this period. First, gold returned a real annualized 9.2% (though the presenter notes this is somewhat overstated because US citizens were legally barred from owning gold until 1974; adjusted for this, the real return drops to approximately 3.4%). Second, broad commodities, including oil (up nearly 1000% over the decade) and farmland (returning ~14% annually), profited massively from supply-driven inflation. Third, defensive consumer staples and healthcare stocks outperformed the S&P 500 by approximately 4 percentage points annually, as demand for essential goods like toothpaste and pharmaceuticals remained stable regardless of inflation. Fourth, value stocks and small caps delivered positive real returns, while high-growth 'Nifty Fifty' stocks like IBM, Polaroid, and Xerox collapsed by 60–90%.
The presenter then outlines a practical portfolio construction framework called a 'stagflation sleeve.' For a €100,000 portfolio, they suggest allocating 5–15% to gold (via a physical gold ETC), 5–10% to broad commodities (iShares Diversified Commodity Swap ETF), 10–15% to defensive quality dividend stocks (e.g., LNG Global Quality Dividends ETF, optionally supplemented with an S&P 500 Healthcare Sector ETF), and 15–25% to value and small cap stocks (iShares Edge MSCI World Value Factor ETF and MSCI World Small Caps ETF). The presenter notes that a 30% stagflation sleeve represents moderate insurance, while going up to 61% allocation becomes very aggressive and introduces significant opportunity cost if stagflation does not materialize.
The video concludes with important caveats: stagflation is not guaranteed, and the goal is portfolio insurance rather than full repositioning. The presenter warns against timing risk when buying gold and commodities at already elevated prices, recommends savings plan strategies over lump-sum investing to reduce risk, and notes the tax advantages of physically held gold in Germany (tax-free after one year). The overarching message is that early awareness and partial preparation — even if the scenario doesn't fully unfold — is far better than being caught unprepared.
Key Insights
- The presenter argues that the 1972-1982 stagflation was uniquely dangerous not because of a sudden crash, but because it caused a slow, invisible real wealth destruction of over 61% in the S&P 500 — making it nearly impossible to recover if an investor was wrongly positioned from the start.
- The presenter claims that every asset class that outperformed during the 1970s stagflation — gold, broad commodities, defensive consumer staples, and value/small cap stocks — is already outperforming the S&P 500 in year-to-date 2026 returns, which he describes as a 'textbook stagflation setup.'
- The presenter points out that the commonly cited gold return of 9.2% real annually for the 1970s is partly overstated, because US citizens were legally prohibited from owning gold until 1974; adjusting for this reduces the real return to approximately 3.4% annually, though still positive compared to the S&P 500's -2% real return.
- The presenter argues that stagflation is a 'regime change, not a normal cycle,' meaning it takes years rather than months to play out, and that the Federal Reserve's current political constraints on raising interest rates mirror the delayed response of the Fed in the early 1970s before Paul Volcker eventually raised rates to 20%.
- The presenter recommends building a 'stagflation sleeve' as partial insurance rather than fully repositioning a portfolio, suggesting that a 30% allocation to stagflation-resilient assets represents moderate protection while acknowledging that going above 60% creates excessive opportunity cost if stagflation does not materialize.
Topics
Full transcript available for MurmurCast members
Sign Up to Access