12.2 Three Sources of Uncertainty

Coefficient of Variation: \(\phi = \dfrac{\sigma}{\mu}\)

\[\begin{equation} \phi^2 = \underbrace{\phi_{indep}^2}_{\text{Independent Risk}} + \underbrace{\phi_{internal}^2}_{\text{Internal Systemic Risk}} + \underbrace{\phi_{external}^2}_{\text{External Systemic Risk}} \tag{12.1} \end{equation}\]

Definition 12.1 Systemic Risk

  • Risks that can vary across valuation classes

Remark.

  • Qualitative approaches is recommended for systemic risk

  • Need to make assumptions about the correlation of the different risks

12.2.1 Quantitative vs Qualitative Analysis

Limitation of quantitative analysis

  • Requires lots of data that we don’t have

  • Only captures historical risk

  • Does not capture risk that did not have an episode (of systemic risk) in the experience period

\(\therefore\) Need qualitative measures as well to examine the uncertainty

Table 12.1: Quantitative method effectiveness
Effective Not effective
Independent risk Internal systemic risk
Past episodes of external systemic risk External systemic risk that has not yet occurred
  • Good stochastic model will fit away past systemic episodes (e.g. high inflation) while we still want to hold a margin for the future

  • Outcome dependent significantly on actual episodes of risk, not all potential ones (for systemic risk that was not fitted away)

    • Need to judge if episodes in data are representative going forward
  • Model is unlikely to pick up internal systemic risk from the actuarial valuation process