Direct answer
CAD crosses are foreign-exchange currency pairs that include the Canadian dollar (CAD) on one side, paired with another currency. “Related currencies and markets” means the other currencies that trade against CAD in these pairs (for example, common liquid alternatives) and the broader market drivers that can jointly influence CAD and those counterpart currencies. Importantly, these links are best treated as unstable historical associations, not trade signals or expectations of future price moves.
Mechanism or definition
In practice, a CAD cross is any FX pair where CAD is either the base or the quote currency (depending on how the pair is quoted). The “other currency” matters because it changes what you are effectively comparing. For example, when CAD is paired with a different currency, the price reflects relative movements between:
- CAD’s value drivers (Canada-related macro factors and risk sentiment)
- the other currency’s value drivers (its own macro factors and risk conditions)
A simple way to model “related markets” is to think in shared influences rather than fixed cause-and-effect. Broad market factors that can affect multiple currencies include overall risk appetite, global interest-rate expectations, commodity-related expectations (to the extent they influence CAD), and currency-specific economic news calendars. However, the strength and direction of these influences can vary over time.
Evidence or example
A common kind of relationship people check is correlation or co-movement between returns of CAD crosses and returns of other market proxies (such as broad equity risk measures, government bond yield changes, or commodity price movements). As a working example, suppose you compare historical daily returns of two CAD-involving pairs against a third market measure over a defined time window.
Assumptions for this example:
- You use the same time frequency (e.g., daily closes).
- You define a fixed lookback period (e.g., six months) and compute returns consistently.
- You use out-of-sample verification by repeating the test on a later window.
A typical failure mode is that a relationship observed in one window weakens in another. That can happen when market participants’ priorities change (for example, shifting attention from one macro driver to another), when volatility regimes move, or when trading frictions and liquidity conditions differ across pairs and venues.
Limitations and risks
-
Correlations are not guarantees. Historical co-movement does not establish future behavior, and the relationship can reverse.
-
Costs and execution matter. Even if two series move together historically, transaction costs, bid-ask spreads, slippage, and varying liquidity can change realized outcomes.
-
Regime shifts are common. Risk sentiment, central-bank expectations, and macro surprise patterns evolve; the “relatedness” may be strong during one environment and weak in another.
-
Verification is not one-time. A single test can mislead; you need defined assumptions, consistent methodology, and repeated checks.
Verification or next question
To independently verify which currencies and markets are most “related” to CAD crosses, define what you mean by relatedness (co-movement, shared macro drivers, or sensitivity to specific news types). Then use public historical data to:
- test multiple time windows,
- compare several CAD-involving pairs,
- and check stability across out-of-sample periods.
If you want a more specific research question, consider focusing on a single driver category (for example, the effect of scheduled economic releases on CAD crosses) and checking how the association changes across market regimes.
(If you share the specific CAD cross pairs you are researching, the explanation can be tailored to which “other currencies” you would include as counterpart inputs, while still keeping the relationships framed as unstable and historical.)