get https://{host}/platform/riskdata/v1/analyses//ep
Returns EP curves for the specified EP analysis job.
EP analysis may be computed based on ALM, DLM, or HD models. Exceedance probability (EP) analysis takes the full range of possible events and losses into consideration during analysis. These losses are expressed as occurrence exceedance probability curves (OEP curves) and aggregate exceedance probability curves (AEP curves).
Different metrics are available depending on the model used in the analysis:
- For EP analysis based on ALM or DLM models, this operation may return
AEP
,OEP
,TCE-AEP
, andTCE-OEP
curves. - For EP analysis based on HD models, this operation may return
AEP
andOEP
curves
EP metrics can be filtered by EP metrics type (epType
). One of OEP
(occurrence EP), AEP
(aggregate EP), CEP
(stochastic conditional EP), TCE-AEP
(tail conditional expectation AEP), TCE-OEP
(tail conditional expectation OEP).
Code | Description |
---|---|
AEP | Probability that the total losses across all events in a year will meet or exceed a loss threshold. |
CEP | Probabilistic losses for an event or hypothetical scenario from existing EP results based on a list of event IDs (representing stochastic events with similar characteristics) and associated weights (reflecting how closely each stochastic event represents the event or scenario on a relative basis). |
OEP | Probability that at least one event will occur in a year that causes losses greater than or equal to a certain amount. |
TCE_AEP | TCE is the expected value of loss given that a loss at least as large as RPLα has occurred based on AEP losses. Conditional expectation of losses that are greater than or equal to a specified loss threshold RPLα, where α is the selected risk tolerance threshold and RPLα is the corresponding is the return period loss. |
TCE_OEP | TCE is the expected value of loss given that a loss at least as large as RPLα has occurred based on AEP losses. Conditional expectation of losses that are greater than or equal to a specified loss threshold RPLα, where α is the selected risk tolerance threshold and RPLα is the corresponding return period loss. |