What Is Intermarket Analysis?

Intermarket analysis is a methodology for understanding the relationships between different financial markets and using those relationships to improve trading decisions. Rather than analyzing a single market in isolation, intermarket analysis recognizes that all markets are interconnected through flows of capital, trade, and economic activity. Changes in one market often ripple through to other markets, creating predictable patterns that can be exploited by informed traders.

The concept was popularized by John Murphy in his seminal work on the subject, and it has become an essential tool for professional traders across all asset classes. In futures trading, intermarket analysis is particularly powerful because futures markets span multiple asset classes including equities, fixed income, currencies, and commodities. This breadth gives futures traders a unique vantage point for observing and exploiting intermarket relationships.

The core principle of intermarket analysis is that markets do not move in isolation. A rally in the US dollar affects commodity prices, which in turn affect commodity currencies, which then feed back into equity markets. By understanding these chains of influence, traders can anticipate moves in their target market before they happen, gaining a significant edge over those who analyze markets in silos.

Key Intermarket Relationships

US Dollar vs. Commodities

The US dollar has an inverse relationship with most commodity prices. This is because commodities are priced in dollars globally, so a stronger dollar makes commodities more expensive for buyers using other currencies, reducing demand and pushing prices lower. Conversely, a weaker dollar makes commodities cheaper for foreign buyers, increasing demand and pushing prices higher. This relationship is one of the most reliable in intermarket analysis and is particularly important for traders in energy, metals, and agricultural futures.

The inverse dollar-commodity relationship is not perfect and can break down during periods of extreme market stress or when supply-demand fundamentals in a specific commodity are overwhelming. However, as a general guideline, monitoring the US Dollar Index (DXY) is essential for any commodity futures trader. When the DXY is trending strongly in one direction, commodity prices tend to move in the opposite direction, all else being equal.

Bonds vs. Stocks

The relationship between bonds and stocks is more complex and depends on the economic environment. In normal times, bonds and stocks often have a negative correlation because they represent competing uses of capital. When investors are optimistic about the economy (risk-on), they prefer stocks over bonds, pushing stock prices higher and bond prices lower (yields higher). When they are fearful (risk-off), they flee to the safety of bonds, pushing bond prices higher and stock prices lower.

However, there are periods when both stocks and bonds move in the same direction. During periods of monetary expansion (quantitative easing), both can rally simultaneously as liquidity floods the system. During periods of stagflation (high inflation with low growth), both can decline as inflation erodes the value of fixed-income payments while simultaneously squeezing corporate profits. Understanding the current regime is essential for correctly interpreting bond-stock relationships.

Oil vs. Canadian Dollar (CAD)

Canada is one of the world's largest oil exporters, which creates a strong positive correlation between crude oil prices and the Canadian dollar. When oil prices rise, Canada's terms of trade improve, boosting demand for CAD and pushing the currency higher. When oil prices fall, CAD tends to weaken. This relationship is so reliable that the USD/CAD exchange rate is sometimes called the "oil currency pair." For futures traders, this means that sharp moves in crude oil futures often precede or accompany moves in currency futures involving the Canadian dollar.

Gold vs. Inflation

Gold is widely regarded as an inflation hedge, and it tends to perform well during periods of rising inflation expectations. When inflation rises, the real (inflation-adjusted) return on bonds and cash declines, making gold more attractive as a store of value. Gold also tends to perform well during periods of geopolitical uncertainty and currency debasement. The relationship between gold and inflation expectations (as measured by TIPS yields or breakeven rates) is a key intermarket relationship for futures traders. When breakeven inflation rates are rising, gold futures tend to rally, and when they are falling, gold tends to decline.

Using Intermarket Analysis for Trading Decisions

Intermarket analysis can be applied to futures trading in several practical ways. First, it can be used for confirmation: if you are bullish on crude oil, check that the US dollar is weak, the yield curve is steepening, and commodity indices are rallying. If these confirming signals are present, your crude oil trade has a higher probability of success. Second, it can be used for early warning: if bonds are selling off sharply (yields rising), this may signal that equities are about to come under pressure, even if the stock market has not yet reacted. Third, it can be used for relative value: if you believe inflation is going to rise, you might prefer gold futures over Treasury futures, based on their different sensitivities to inflation.

The key to using intermarket analysis effectively is to focus on the most important relationships for the market you are trading. If you trade crude oil, pay close attention to the US dollar, natural gas, and global equity markets. If you trade equity index futures, focus on bonds, volatility (VIX), and credit spreads. Trying to monitor every possible relationship at once leads to information overload and paralysis. Instead, identify the two or three relationships that matter most for your specific market and develop expertise in interpreting those signals.

Correlation Changes During Risk-On vs. Risk-Off

One of the most important insights from intermarket analysis is that correlations are not constant. During risk-on periods (when investors are optimistic and seeking returns), correlations between risky assets tend to be positive (stocks, commodities, and high-yield bonds all rally together) while correlations with safe-haven assets tend to be negative (Treasury bonds and the yen tend to decline). During risk-off periods (when investors are fearful and seeking safety), the opposite occurs: correlations among risky assets remain positive but at higher levels (everything sells off together), while safe-haven assets rally.

This dynamic has important implications for futures traders. During risk-off periods, diversification benefits diminish because all risky assets tend to decline simultaneously. This is why portfolio risk models that rely on historical correlations often fail during crises, when correlations spike toward one. Understanding the current risk regime (risk-on vs. risk-off) is essential for correctly interpreting intermarket signals and managing portfolio risk.

Several indicators can help you identify the current risk regime. The VIX (volatility index) is a direct measure of equity market fear; high VIX readings indicate risk-off conditions. Credit spreads (the difference between corporate bond yields and Treasury yields) indicate credit market stress; widening spreads signal risk-off. The Japanese yen tends to appreciate during risk-off periods due to carry trade unwinding. Monitoring these indicators alongside your target market gives you a real-time read on the risk environment.

Practical Examples

Consider a scenario where the Federal Reserve announces a new round of quantitative easing. This typically causes the US dollar to weaken (more dollars in circulation), bond yields to decline (Fed buying bonds), and stock prices to rise (easy money benefits equities). For a crude oil trader, this is a triple bullish signal: a weak dollar supports commodity prices, rising stocks indicate economic optimism that boosts energy demand, and lower yields make crude oil more attractive relative to fixed-income alternatives. An intermarket-aware crude oil trader would recognize this confluence of positive signals and position accordingly.

Now consider a scenario where China reports much weaker than expected GDP growth. This could cause copper prices to fall (China is the world's largest copper consumer), commodity currencies like AUD and CAD to weaken, and global equities to decline on growth concerns. For a gold trader, this is more nuanced: gold might initially decline on the growth scare (risk-off selling) but then rally as central banks respond with monetary stimulus (inflationary). An intermarket analysis approach would help you navigate this complexity by monitoring bond yields, the dollar, and equity markets alongside gold to identify the optimal entry point.

Key Takeaways

• Intermarket analysis examines relationships between different financial markets to improve trading decisions.
• Key relationships include USD vs. commodities (inverse), bonds vs. stocks (typically inverse), oil vs. CAD (positive), and gold vs. inflation (positive).
• Correlations change depending on the risk regime: risk-on vs. risk-off environments produce different correlation patterns.
• Use intermarket analysis for confirmation, early warning, and relative value decisions.
• Focus on the two or three relationships most relevant to your target market rather than trying to monitor everything.
• Monitor VIX, credit spreads, and the yen to identify the current risk regime.

Intermarket analysis transforms futures trading from a single-market endeavor into a holistic view of global capital flows. By understanding how markets move together, you can anticipate price movements, manage risk more effectively, and identify opportunities that purely technical or fundamental traders miss. In the next lesson, we will explore contango and backwardation in depth, two concepts that are central to understanding futures market structure.