Marshall Flashcards
Explain why qualitative approaches are preferred over quantitative approaches when populating a correlation matrix.
Quantitative techniques require a significant amount of data, time and cost to produce credible and intuitive results
Briefly describe the bolt-on approach to determining risk margins.
A bolt-on approach occurs when separate analyses are completed to develop a central estimate of insurance liabilities and/or estimate risk margins. It is called a “bolt-on” approach because it does not involve a single unified distribution of the entire distribution of possible future claim costs
Define the following terms: ⇧ Claims portfolio
The aggregate portfolio for which the risk margins must be estimated
Define the following terms: ⇧ Valuation classes
The portfolios that are considered individually as part of the risk margin analysis
Define the following terms: ⇧ Claim group
A group of claims with common risk characteristics
Briefly describe systemic risk.
Systemic risk represents risks that are common across valuation classes or claim groups
Briefly describe two sources of systemic risk and provide an example for each source.
⇧ Internal systemic risk – risks internal to the insurance liability valuation/modeling process (i.e. model parameter risk) ⇧ External systemic risk – risks external to the insurance liability valuation/modeling process (i.e. changes in building costs)
Briefly describe independent risk.
Independent risk represents risks that occur due to the randomness inherent in the insurance process
Briefly describe two sources of independent risk.
⇧ Parameter risk – represents the extent to which the randomness associated with the insurance process affects the ability to select appropriate parameters in the valuation models ⇧ Process risk – represents the pure effect of the randomness associated with the insurance process
Identify two sources of risk that can be fully analyzed using modeling techniques such as bootstrapping or a stochastic chain-ladder model.
Independent risk and historical external systemic risk
Identify two sources of risk that cannot be fully analyzed using modeling techniques such as bootstrapping or a stochastic chain-ladder model.
Internal systemic risk and future external systemic risk
Briefly explain why traditional modeling techniques cannot capture all sources of uncertainty.
Since models fit past data, they are only able to remove past episodes of external systemic risk. They are not able to capture future external systemic risk
Briefly describe three sources of internal systemic risk.
⇧ Specification error – the error that arises because the model cannot perfectly model the insurance process ⇧ Parameter selection error – the error that arises because the model cannot adequately measure all predictors of future claim costs or trends in these predictors ⇧ Data error – the error that arises due to the lack of credible data. Data error can also refer to an inadequate knowledge of the portfolio being analyzed, including pricing, underwriting and claims management processes
Fully describe the balanced scorecard approach for assessing internal systemic risk.
A balanced scorecard is developed to objectively assess the model specification against a set of criteria. For each of the sources of internal systemic risk, risk indicators are developed and scored against the criteria. The scores are aggregated for each valuation class and mapped to a quantitative measure (CoV) of the variation arising from internal systemic risk. Despite the focus on objectivity, some subjective decisions must be made. These include the risk indicators, the measurement and scoring criteria, the weight given to each risk indicator and the CoVs that map to each score
Briefly describe three external systemic risk categories.
⇧ Claim management process change risk – the uncertainty associated with changes in claim reporting, payment, estimation, etc. ⇧ Expense risk – the uncertainty associated with the cost of managing the run-off of the insurance liabilities or the cost of maintaining the unexpired risk until the date of loss ⇧ Event risk – the uncertainty associated with claim costs arising from events (i.e. cats), either natural or man-made