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FRM Part II · FRM Exam Part II · Empirical Properties of Correlation: How Do Correlations Behave in the Real World?

An analyst computes daily correlations for 1,000 stock pairs and finds the cross-sectional distribution of correlations is positively centered with a bounded range of [-1, 1]. She then tests the time series of one pair's correlation and finds a first-order autocorrelation of 0.95 in monthly correlation levels but near 0.05 in monthly correlation changes. Which conclusion is best supported?

Correlation levels are persistent while changes are nearly unpredictable, which fits a slowly mean-reverting level. High autocorrelation in levels signals persistence, and low autocorrelation in changes shows no trend momentum, so the series is bounded and modelable.

  1. ACorrelation levels are persistent, while changes are close to unpredictable, consistent with a slowly mean-reverting levelCorrect
  2. BCorrelation levels are independent over time, while changes are highly persistent
  3. CBoth levels and changes are highly persistent, so correlation is a random walk
  4. DNeither levels nor changes carry information, so correlation cannot be modeled

Explanation

High autocorrelation in levels indicates persistence; low autocorrelation in changes means shocks are not trending month to month. This is characteristic of a slowly mean-reverting process with a stable local level, not independence in levels. Option 2 reverses the findings, and a random walk would not be bounded.

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