In risk management, a Type II error—failing to identify a model that underestimates risk—is generally considered more dangerous. This could lead to insufficient capital reserves and potentially catastrophic losses if the true risk is higher than the model suggests. A Type I error, while inconvenient, primarily results in unnecessary model adjustments or further investigation of a sound model.

A is incorrect. While Type I errors have costs (time, resources), they are less severe than the potential financial consequences of a Type II error.

C is incorrect. The costs are not symmetrical in a risk management context.

D is incorrect. Both error types have implications, but Type II is generally more critical.

Things to Remember

• Type I error: Rejecting a true null hypothesis (rejecting a correct model).
• Type II error: Failing to reject a false null hypothesis (failing to reject an incorrect model).
• In risk management, Type II errors are generally more costly due to the potential for underestimating risk.