Sacha Jingree
Periods of heightened market volatility are traditionally when investors turn to so-called “safe havens” to help protect portfolios. Assets such as gold, the US dollar, and US Treasuries are often assumed to provide stability when geopolitical, economic, or financial risks rise. Yet recent market behaviour suggests that these assumptions may not hold consistently across different market conditions.
What is a safe haven, and how is it different from a safe asset?
A safe haven is typically understood as an asset expected to retain value, or potentially appreciate, during periods of acute market stress. It is often sought for short-term protection when risk sentiment deteriorates.
A safe asset, by contrast, is generally held over the medium to long term to help stabilise a portfolio’s overall risk profile. While safe assets tend to offer lower volatility and a higher likelihood of capital preservation, they are not necessarily designed to hedge extreme, short-term market shocks.
The distinction matters because assets that support portfolio stability over time may not always provide protection during periods of acute stress.
This theme has also been explored in a recent Academy session examining how traditional safe havens behave across different types of market stress.
Is gold still a reliable safe haven during market crises?
Gold has long been valued as a store of wealth, from ancient societies to its use as currency before the gold standard was discarded. Has this history contributed to its reputation as a reliable safe haven?
In the below chart, we can see an illustrative comparison based on selected historical episodes over a three-month window, including the early 1990s recession, the dotcom bust, the Global Financial Crisis, and a recent geopolitical event. In each case, gold has not always delivered positive returns. It is also worth noting that short-term performance after a crisis may differ from gold’s longer-term role as an inflation hedge.
The chart indicates that gold’s behaviour in the current market environment differs from its pattern in earlier crises. Two separate factors may help explain this. First, the current shock may differ from earlier financial or market‑driven crises: it has been shaped more by geopolitical conflict and energy‑related inflation. Second, gold prices entered this episode after a sustained, momentum-driven rally that ran until Q1 2026. This suggests that pre-existing investor positioning and subsequent profit‑taking may contribute to differences in short-term performance.
When does the US dollar behave like a safe haven?
The US dollar has been the world’s dominant reserve currency since the Bretton Woods agreement of 1944 and has historically tended to appreciate during periods of global stress, supported by demand for liquidity.
Recent market behaviour highlights that the dollar’s safe haven role can depend on the underlying drivers of a crisis. From early 2025, increased uncertainty around US trade and economic policy, alongside concerns about the fiscal outlook, coincided with a period of dollar weakness. By contrast, after a recent period of heightened geopolitical tension, the dollar exhibited behaviour more consistent with historical safe haven patterns during a period associated with increased demand for liquidity and changes in energy market conditions.
These contrasting episodes underline that the dollar’s performance may be influenced not only by risk aversion, but also by whether a crisis is primarily financial, fiscal, or geopolitical in nature.
Are US Treasuries a safe haven or a safe asset?
Government-issued securities, such as U.S. Treasuries, are generally considered low-risk due to the strong creditworthiness of the issuer. As a result, this safe haven is commonly viewed as a safe asset.
However, 2026 data suggest that safe assets do not necessarily function as safe havens in all market conditions.
Recent observations suggest that Treasury yields have been influenced by evolving market conditions over this period. However, US public finances were already subject to fiscal pressures before any additional defence spending associated with the current environment. Publicly available data suggest that fiscal pressures remain a consideration alongside elevated debt level.
The chart below shows that the US debt as a share of GDP has increased significantly in recent years and is projected to rise further over the longer term.
Source: Economic Indicator App in LSEG Workspace
Higher inflation expectations may lead markets to anticipate potential increases in interest rates, applying upward pressure on Treasury yields. A useful way to monitor market expectations for Federal Reserve policy is through the Interest Rate Probability App (IRPR) in LSEG Workspace. IRPR displays the probabilities and expected change of central bank rates, implied from the market prices of interest rate derivatives.
Higher government spending in a constrained fiscal environment, alongside energy supply risks and rising inflation expectations, may contribute to movements in government bond prices. U.S. Treasuries can be influenced by these broader market dynamics.
Key takeaways for market practitioners
- Safe havens and safe assets are not the same and may require separate evaluation criteria.
- The nature of a crisis matters when assessing asset behaviour.
- Data‑driven analysis is essential when historical relationships no longer hold.
Learn more
To explore how data and analytics available in LSEG Workspace can be used effectively, you may refer to the content available in the Learning Centre. This question around safe haven behaviour was picked up in a recent Markets Unpacked discussion with Reuters.
One way markets price expectations for central bank interest rates is through the pricing of interest rate derivatives, from which market‑implied interest rate probabilities can be inferred and reflected in tools such as the Interest Rate Probability app (IRPR). These dynamics are also explored in a short video walkthrough, while related learning sessions on macroeconomic indicators and interest rate probabilities look at how this analysis is applied.
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