Brehm Flashcards
Briefly define enterprise risk management
Ch 1
ERM is defined as the process of systematically and comprehensively identifying critical risks, quantifying their impacts and implementing integrated strategies to maximize enterprise value
Briefly describe four aspects of the ERM definition
Ch 1
1) an effective ERM program should be a regular process, not just a one-time event
2) Risks should be considered on an enterprise basis
3) ERM focuses on risks that have a significant impact to the value of a firm
4) Risks must be quantified as best as possible. The impact of each risk should be calculated on an overall, portfolio basis and correlations with other risks should be considered.
Briefly describe four risks that an insurer faces
Ch 1
- Insurance hazard - risk assumed by insurer in exchange for premium. Consists of underwriting risk, accumulation/cat risk, and reserve risk.
- Asset - risk in the insurer’s asset portfolio related to volatility in interest rates, foreign exchange rates, equity prices, credit quality and liquidity
- Operational - risk associated with the execution of the company’s business. For example, risks include the execution of IT systems, policy service systems, etc.
- Strategic - risk associated with making the wrong or right strategic choices. In other words, it is the risk of choosing the wrong plan, given the current and expected market conditions.
Briefly describe the four steps in the ERM process
Ch 1
- Diagnose - company conducts a risk assessment to determine material risks that exceed a company-defined threshold
- Analyze - risks that exceed a company threshold are modelled as best as possible
- Implement - implement various activities to manage the risks
- Monitor - monitor the actual outcomes of the plans implemented in the previous steps against expectations.
Provide three characteristics of a good enterprise risk model
Ch 1
- The model shows the balance between risk and reward from different strategies (such as changing the asset mix or reinsurance program)
- The model reflects the relative importance of various risks to business decisions
- The model includes mathematical techniques to reflect the relationships among risks (dependencies)
Briefly explain what may happen if a firm employs a weak enterprise risk model
Ch 1
Models without the good characteristics of an ERM model often exaggerate certain aspects of risk while underestimating others. This can lead to overly aggressive or overly cautious corporate decision making
Briefly describe four types of parameter risk
Ch 1
- Estimation risk - misestimation of model parameters due to imperfect data
- Projection risk - refers to changes over time and the uncertainty in the projection of these changes
- Event risk - refers to situations in which there is a causal link between a large unpredicted event (outside of the company’s control) and losses to the insurer.
- Systematic risk - refers to risks that operate simultaneously on a large number of individual policies. Thus, they are non diversifying and do not improve with added volume.
a) Provide an example of event risk
b) Provide an example of systematic risk
Ch 1
a) latent exposures such as asbestos
b) inflation
Provide three sources of uncertainty in catastrophe models
Ch 1
- Uncertainty relating to the probabilities of various events
- Uncertainty relating to the amount of insured damage caused by each event
- Uncertainty related to data quality
Briefly describe a key aspect of asset modeling
Ch 1
A key aspect of modelling is modelling scenarios consistent with historical patterns.
When generating scenarios against which to test a insurer’s strategy, the more probably scenarios should be given more weight.
Provide four reasons for holding sufficient capital
Ch 1
Capital must be sufficient to:
- sustain current underwriting
- provide for adverse reserve changes
- provide for declines in assets
- support growth -satisfy regulators, rating agencies, and shareholders
Briefly describe four common approaches for setting capital requirements
Ch 1
- holding enough capital so that the probability of default is remote
- holding enough capital to maximize the insurer’s franchise value. Franchise value includes an insurer’s balance sheet, customer base, agency relationships, reputation, etc.
- holding enough capital to continue to service renewals
- holding enough capital so that the insurer not only survives a major cat but thrives in its aftermath.
Provide four advantages of using economic capital for an ERM analysis
Ch 2
- Provides a unifying measure for all risks across an organization
- More meaningful to management than risk-based capital or capital adequacy ratios
- Forces the firm to quantify the risks it faces and combine them into a probability distribution
- Provides a framework for setting acceptable risk levels for the organization as a whole AND for individual business units
An insurer is currently holding capital at the 1-in-4256 VaR level. Given this information, explain why the insurer might select the 1-in-4000 VaR as its target capital level.
Ch 2
The insurer might choose the 1-in-4000 VaR because it is a round number AND because it is slightly less than the current capital level.
a) Provide two disadvantages of using standard deviation to measure risk.
b) For each disadvantage above, briefly describe an alternative risk measure that addresses the disadvantage.
Ch 2
Part a:
- Favorable deviations are treated the same as unfavorable ones
- As a quadratic measure (i.e. based on the second moment), it may not adequately capture market attitudes to risk
Part b:
- Semistandard deviation – only uses unfavorable deviations
- Skewness – since this uses a higher moment, it might better capture market attitudes
Briefly describe five types of tail-based risk measures.
Ch 2
- VaR – percentile of the probability distribution
- TVaR (tail value at risk) – expected loss at a specified probability level and beyond
- XTVaR (excess tail value at risk) – calculated as TVaR minus the overall mean
- EPD (expected policyholder default) – calculated by multiplying (TVaR – VaR) by the complement of the specified probability level
- Value of default put option – when capital and/or reinsurance is exhausted, the firm has the right to default on its obligations and put the claims to the policyholders. The market value of this risk is the value of the default put option. It is usually estimated using options pricing methods
Briefly describe probability transforms.
Ch 2
Probability transforms measure risk by shifting the probability towards the unfavorable outcomes and then computing a risk measure with the transformed probabilities
TVaR is often criticized because it is linear in the tail. Briefly describe a probability transform that can be used to overcome this criticism.
Ch 2
Under transformed probabilities, TVaR becomes WTVaR (weighted TVaR). This is NOT linear in the tail and considers a loss that is twice as large to be more than twice as bad
Briefly describe generalized moments.
Ch 2
Generalized moments are expectations of a random variable that are NOT simply powers of that variable
Describe how the following things affect the amount of capital held by an insurance company:
- Customer reaction
- Capital requirements of rating agencies
- Comparative profitability of new and renewal business
Ch 2
- Customer reaction – some customers care deeply about the amount of capital being held by insurers and/or the financial rating of an insurer. Oftentimes, declines in financial ratings can lead to declines in business
- Capital requirements of rating agencies – different rating agencies require different amounts of capital to be held by an insurer
- Comparative profitability of new and renewal business – renewal business tends to be more profitable due to more informed pricing and underwriting. Thus, it is important to retain renewal business. If renewals comprise 80% of the book, then the insurer should be able to maintain 80% of its capital in a bad year. In this case, the insurer should hold enough capital so that 20% of its capital could cover a fairly adverse event
Briefly describe what it means for a risk decomposition method to be “marginal.”
Ch 2
Marginal means that the change in overall company risk due to a small change in a business unit’s volume should be attributed to that business unit
Provide two reasons why the marginal property is desirable.
Ch 2
- it links to the financial theory of “pricing proportionality to marginal costs”
- It ensures that when a business unit with an above-average ratio of profit to risk increases its volume, then the overall company ratio of profit to risk increases as well
Describe two required conditions for a marginal decomposition.
Ch 2
- Works when business units can change volume in a homogeneous fashion
- Works when the risk measure is scalable. This means that multiplying the random variable by a factor multiplies the risk measure by the same factor (p(aY ) = ap(Y )). This is also known as homogenous of degree 1
a) In most cases, firms allocate capital directly. Briefly describe how a firm can allocate the cost of capital.
b) Explain how a business unit’s right to access capital can be viewed as a stop-loss agreement.
c) Provide one approach for calculating the value of the stop-loss agreement.
Ch 2
Part a: Set the minimum profit target of a business unit equal to the value of its right to call upon the capital of the firm. Then, the excess of the unit’s profits over this cost of capital is added value for the firm. Essentially, we are allocating the overall firm value (rather than the cost of capital) to each business unit
Part b: Since the business unit has the right to access the insurer’s entire capital, it essentially has two outcomes – make money or break-even. This is how a stop-loss agreement works as well
Part c: Calculate the expected value of a stop-loss for the business unit at the break-even point
Provide two disadvantages of leverage ratios.
Ch 2
They do not distinguish among business classes
They do not incorporate risks other than underwriting risks
Briefly describe how IRIS ratios are used to measure firm health.
Ch 2
For each ratio, a range of reasonable values is determined. Any company that has four or more ratios that do not fall within their corresponding reasonable ranges are considered to be at risk and warrant regulatory scrutiny
a) Briefly describe how risk-based capital (RBC) models differ from leverage ratios.
b) Provide the four main sources of risk contemplated in RBC models.
c) Briefly describe how RBC models quantify these sources of risk.
Ch 2
Part a: Unlike leverage ratios, risk-based capital (RBC) models combine measures of different aspects of risk into a single number
Part b:
- Invested asset risk
- Credit risk
- Premium risk
- Reserve risk
Part c: Each of these risks is measured by multiplying factors by accounting values. The magnitude of the factor varies by the quality and type of asset or the line of business
a) In terms of risk charges, fully describe one reason why a regulatory RBC model might differ significantly from a rating agency RBC model.
b) In terms of risk charges, fully describe one reason why two rating agency models might differ significantly.
Ch 2
Part a: Use of the models – the A.M. Best and S&P models are used to determine whether the company will be viable in the long term, while regulatory models are used to evaluate the one-year likelihood of insolvency. Thus, the rating agency models should have higher factors
Part b: Presence of a covariance adjustment – many models have covariance adjustments intended to reflect the independence of the various risk components. With this adjustment, the total required capital is less than the sum of the individual risk charges. The reduction in capital depends on the relative magnitudes of the risk charges (greater reductions occur when risk charges are similar in size)
An actuary is tasked with projecting his firm’s balance sheet over the next 3 years. Rather than using best estimates, the actuary must project the balance sheet under 5 separate scenarios.
a) Briefly describe the difference between static scenarios and stochastic scenarios.
b) Briefly describe 2 critical features the actuary’s projection model must include.
Ch 2
Part a: Static scenarios are pre-defined scenarios (defined by the firm). Stochastic scenarios are generated through a stochastic process
Part b:
- The projection model should include correlations among the various moving parts (for example, how do stock returns move with a shock event)
- The projection model should include reflections of management responses to adverse financial results
Briefly describe three ways in which parameter risk manifests itself.
Ch 3
- Estimation risk – arises from using only a sample of the universe of the possible claims to estimate the parameters of distributions
- Projection risk – arises from projecting past trends into the future
- Model risk – arises from having the wrong models to begin with
To project future losses, an actuary fit a trend line to historical data. Using standard statistical procedures, the actuary placed prediction intervals around the projected losses. Explain why these prediction intervals may be too narrow.
Ch 3
Historical data is often based on estimates of past claims which have not yet settled. In the projection period, the projection uncertainty is a combination of the uncertainty in each historical point AND the uncertainty in the fitted trend line. Thus, the actuary’s prediction intervals may be too narrow due to the missing uncertainty associated with the historical data
a) Describe two approaches for modeling claim severity trend.
b) Explain why projecting superimposed inflation and general inflation separately is advantageous.
Ch 3
Part a:
Approach 1: Model severity trend from insurance data with no regard to general inflation
Approach 2: Correct payment data using general inflation indices. Then, model the residual superimposed inflation. Since any subsequent projection is a projection of superimposed inflation only, a separate projection of general inflation is required
Part b: An advantage of projecting superimposed inflation and general inflation separately is that it reflects the dependency between claim severity trend and general inflation. Most enterprise risk models include a macroeconomic model, which includes future inflation rates. It is essential that the claim severity trend model reflects appropriate dependencies between claim severity trend and inflation. In doing so, inflation uncertainty is incorporated into projection risk
Describe the primary difference between modeling projection risk using a simple trend model and modeling projection risk using a time series.
Ch 3
The simple trend model described earlier assumes that there is a single underlying trend rate that has been constant throughout the historical period and will remain constant in the future. A time series assumes that the future trend rate is a mean-reverting process with an autocorrelation coe cient and an annual disturbance distribution
Compare the prediction intervals constructed using a simple trend model with those constructed using a time series.
Ch 3
In the simple trend model, the prediction intervals widen with time due to the uncertainty in the estimated trend rate. In the time series model, the prediction intervals widen with time as well, but the effect is more pronounced and the prediction intervals are wider. This is due to the additional uncertainty of the auto-regressive process
Briefly describe a consequence of parameterizing a time series with limited data.
Ch 3
If the time period of the data is too limited to exhibit a range of behaviors, the resulting model will be limited as well, and will understate the projection risk
Briefly describe how estimation risk is assessed using maximum likelihood estimation (MLE).
Ch 3
To assess estimation risk, we use the covariance matrix that results from the standard MLE procedure (based on second partial derivatives of the parameters), but we assume the parameters follow a joint log-normal distribution with that covariance matrix (works for both large and small datasets)
Briefly describe a situation in which estimating parameters using maximum likelihood estimation (MLE) is difficult.
Ch 3
The best-fitting parameters can be di cult to determine if the likelihood “surface” is very flat near the maximum. When the surface is flat near the maximum, a wide range of parameter sets have almost the same likelihood. Thus, the set that maximizes the likelihood might not be any better than one that has slightly smaller likelihood
For large datasets, the parameter distributions in the MLE procedure are multivariate normal. Briefly describe two problems that may arise when this normality assumption is used for a small dataset.
Ch 3
- The standard deviations of the parameters can be high enough to produce negative param- eter values with significant probability
- The distribution of the parameters may be heavy-tailed (the bi-variate normal is not heavy- tailed)
When building a model, various rules and metrics are used to select the best model form. However, the selected form may still be wrong. Describe a process to overcome this problem.
Ch 3
- Assign probabilities of being right to all of the better-fitting distributions. These probabilities can be based on the Hannan-Quinn Information Criteria (HQIC) metric or a Bayesian analysis
- Use a simulation model to select a distribution from the better-fitting distributions
- Select the parameters from the joint log-normal distribution of parameters for the selected distribution
- Simulate a loss scenario using the parameterized distribution
- Start the process over again with the next scenario
Briefly describe seven types of operational risk loss events. For each event, provide one insurer- specific example.
Ch 4
- Internal fraud – acts by an internal party that defraud, misappropriate property or circum- vent the law or company policy (ex. claim falsification)
- External fraud – acts by a third party that defraud, misappropriate property or circumvent the law (ex. claim fraud)
- Employment practices and workplace safety – acts that are inconsistent with employment, health or safety laws (ex. repetitive stress)
- Clients, products and business practices – unintentional or negligent failure to meet a pro- fessional obligation to specific clients (ex. bad faith)
- Damage to physical assets – loss or damage to physical assets from natural disasters (ex. physical damage to insurer’s o ce building)
- Business disruption and system failures – disruption of business operations due to hardware and software failures, telecommunication problems, etc. (ex. processing center downtime)
- Execution, delivery and process management – failed transaction processing or process management, and relationships with vendors (ex. policy processing errors)
Identify three causes of P&C company impairments.
Ch 4
- Deficient loss reserves
- Underpricing
- Rapid growth
An actuary believes the root reason for insurer failures is reserve deficiency. State whether or not the actuary is correct. If the actuary is incorrect, provide the root reason for insurer failures.
Ch 4
Incorrect. The root reason for insurer failures is the accumulation of too much exposure for the supporting asset base
A company’s plan loss ratio determination process is considered the “fulcrum” of operational risk. Fully describe a bridging model that could lead to the financial downfall of the company. In your discussion, include three explanations for the company’s downfall and explain how they are related to operational risk.
Ch 4
The plan loss ratio is a forecast of the loss ratio for the upcoming underwriting period. A bridging model determines the plan loss ratio by bridging forward more mature prior-year ultimate loss ratios using year-over-year loss cost and price level changes. If the Bornhuet- ter/Ferguson (BF) method is used for immature prior years with an ELR equal to the initial plan loss ratio for the year, the prior-year ultimate loss ratio will remain close to its plan loss ratio. Once older prior years begin to deteriorate, the BF ELRs for the more recent prior years will increase via the bridging. This could lead to a booked reserve deficiency, a possible rating downgrade, and a large exodus of policyholders
One explanation for the issues described above is that the plan loss ratio and reserve models could not accurately forecast the loss ratio and reserves. If competitors were NOT facing similar problems in forecasting loss ratios or reserves, then this explanation still implies that operational risk exists. Another explanation is that the plan loss ratio and reserve models could have accurately forecasted the loss ratio and reserves, but the models were not properly used. This represents an operational risk due to people failure. The final explanation is that the plan loss ratio and reserve models did accurately forecast the loss ratio and reserves, but the indications were ignored. This represents an operational risk due to process and governance failure
a) Briefly describe cycle management
b) Provide an example of naive cycle management.
Ch 4
Part a: Cycle management is the management of underwriting capacity as market prices change with the underwriting cycle
Part b: An example of naive cycle management would be if a company decreased prices and ex- panded coverage in order to “maintain market share” during a soft market. As a result of these actions, price adequacy would drop. As the underwriting cycle hits bottom, the company would begin to recognize increased losses from its increased exposure. This could eventually lead to a rating downgrade, which may drive customers away and lead to stability and availability problems. The company may also become insolvent, which would lead to reliability and affordability problems
Describe four areas that a company should focus on to ensure effective cycle management.
Ch 4
- Intellectual property • An insurer’s franchise value is driven by intangible assets (i.e. intellectual property). Managers must focus on retaining top talent during periods of capacity retraction and continue to develop their skills. Managers must also maintain a presence in their core market channels
- Underwriter incentives • Cycle management requires adaptability and responsiveness. Oftentimes, underwriter incentives are written once a year and are tied to “making the plan.” The problem is that the plan is based on one assumed market situation. Instead, plans should be fluid and change based on the market condition. If prices drop to an unacceptable level, underwriters should be able to stop writing new business without fearing that their bonuses will be in jeopardy
- Market overreaction • The insurance industry tends to overreact to the underwriting cycle. For example, market prices and coverage tend to soften below reasonable levels. Eventually, market prices and restrictions overcorrect to the other extreme. Firms can take advantage of this overreaction by better managing their underwriting capacity. In general, firms with the most available capacity during the hard market will reap huge profits that can o↵set several years of underwriting losses
- Owner education • Owners must understand what their financial figures mean AND what to do with that information. Under effective cycle management, financial figures may look out of line when compared with other companies. For example, premium volumes will drop under cycle management. For most firms, this is a bad sign. For an insurer practicing e↵ective cycle management, this is perfectly fine. It’s important that owners NOT make calls for increased market share during the worst possible point in the cycle
Briefly explain how agency theory relates to operational risk.
Ch 4
When the interests of management and the interests of a firm’s owners diverge, management may make decisions that are not supported by the firm’s owners. This is an operational risk
Describe a situation where the interests of the firm’s owners and management may not be aligned.
Ch 4
A company can agree to pay management a percentage of the increase in its market cap after five years. Although this ties manager compensation to the firm’s performance, management may be more willing to take on risky investments. In their mind, they could either end up incredibly wealthy or right where they are now. This allows them to gamble with the owner’s money