Enterprise Risk Management definition
ERM is process of systematically and comprehensively identifying critical risks, quanitfying their impacts and implementing integrated strategies to maximize enterprise value
key aspects of ERM to keep in mind
4 steps of ERM process
Insurers face the following risks
Insurance hazard risk
Insurance hazard: risk assumed by insurer in exchange for premium
U/W: risk due to non-CAT losses from current exposures
Accumulation/CAT: risk due to CAT losses from current exposures
Reserve deterioration: risk due to losses from past exposures
*reserving risk will be greater for long-tailed lines because threat of reserve deterioration is much greater
*CAT modeling uncertainty will be larger for Home lines etc
Financial (Asset) risk
risk in insurer’s asset portfolio related to volatility in interest rates, foreign exchange rates, equity prices, credit quality, and liquidity
AKA asser risks due to market, liquidity and credit risks
Operational risk
risk associated with execution of company’s business (execution of IT systems, policy service systems, etc)
Strategic risk
risk associated with making the wrong or right strategic choices (risk of choosing the wrong plan give current and expected market conditions)
first step of ERM is to diagnose risks that pose greatest potential threats to insurer, for different insurers
some of these risks will be common but others may be firm specific relating to the type of business written, their liabilities, and firm-specific operations
different types of strategic decisions Enterprise risk model can help insurer with
key elements that differentiate the quality of model
4 aspects of parameter risk
estimation risk
data is used to estimate form and parameters of distributions; estimation risk is risk that form of distribution and parameters don’t reflect true form and parameters
projection risk
there are changes over time (ie trends) and projection risk is added uncertainty of projecting changes from time of data into the future as well as uncertainty in loss development
event risk
event risk is added uncertainty to loss due to large unpredicted events outside of company’s control
systematic risks
impact a large number of policies and can’t be diversified away, such as macroeconomic factors like inflation
this adds uncertainty
multivariate normal distribution for ERM
had low tail dependency between risks so combined results from ERM will be unrealistically stable
tail dependencies the ERM should incorporate
inflation would impact both UW losses and loss reserve development
extreme events would cause large losses for both Home and Auto
if high tail dependency between 2 risk, should use
copula with greater joint probabilities in tail would be appropriate
ERMs help insurer to find optimal level of capital that balances efficiency and prudence
common approaches for setting requirements:
problem with holding enough so that probability of default is remote
Default is unlikely outcome in far right tail of distribution and ERM model is least reliable in this portion of the distribution
Mainly protects policyholders
Shareholders are impacted prior to default point and capital requirements should consider protecting shareholders
holding enough so that insurer not only survives major CAT but thrives in aftermath: example for setting capital requirement
To withstand CAT and continue afterwards, assume minimal capital requirement is 6x 95th TVaR, this ensures that average 1-in-20 yr event only depletes 1/6 of capital, using this company would have enough capital to continue following CAT
Setting capital requirements
capital must be sufficient to: sustain current U/W, provide for adverse reserve changes, provide for declines in assets, support growth, and satisfy regulators, rating agencies and shareholders
-ERMs help insurer to find optimal level of capital that balances efficiency and prudence
Essential elements of mathematical enterprise model are
U/W risk
reserving risk
asset risk
dependencies/correlations