Correlation is a statistical term that measures how two series move together, but a high number alone doesn’t prove a causal link. When analysts plot silver against gold, the stock market, or inflation, they often overlook data‑frequency mismatches, outlier events, and the fact that correlation can swing dramatically from one decade to the next. These hidden factors can inflate the apparent strength of any relationship.
Investors who take a simplistic correlation as a trading rule may mis‑price risk. For example, if silver appears to rise whenever the dollar weakens, a trader might double‑down on that pattern without recognizing periods when geopolitical shocks or supply disruptions decouple the assets. Understanding the limits of correlation helps build portfolios that respect both the statistical signal and the underlying economic story.