Brehm ch.2 Flashcards
what is decision analysis?
Brehm ch.2
using simulations to drive corporate decision making
list the three steps of the decision analysis process
Brehm ch.2
- deterministic project analysis
- risk analysis
- certainty equivalent
what is deterministic project analysis?
Brehm ch.2
uses a single deterministic forecast for projecting cash flows to produce an objective function like present value or internal rate of return
how is uncertainty handled in a deterministic project analysis?
(Brehm ch.2)
judgmentally (rather than stochastically)
what might a deterministic project analysis reveal?
Brehm ch.2
sensitivities to critical variables
what is risk analysis?
Brehm ch.2
forecasts of distributions of critical variables are input into a Monte Carlo simulation process to produce a distribution of the present value of cash flows
what is the certainty equivalent step of decision analysis?
Brehm ch.2
- expands upon risk analysis step by quantifying the intuitive risk judgment using a utility function (i.e. corporate risk preference)
- utility function does NOT replace judgment, just formalizes it in order to consistently apply
why do some believe that the efficient market theory removes the need for the certainty equivalent step of decision analysis evolution?
(Brehm ch.2)
- since investors can diversify away firm-specific risk, it doesn’t have a risk premium and should be ignored
- goal of firm managers is to maximize shareholder value, so they should ignore firm-specific risk as well
what is the issue with the argument that efficient market theory removes the need for the certainty equivalent step of decision analysis?
(Brehm ch.2)
does not provide any practical advice for handling risk management within a firm:
- difficult to determine which risks are firm-specific and which are systematic
- market-based risk signals (ex: risk-adjusted rate) often lack the refinement needed for managers to mitigate or hedge the risk
what does the fifth element of internal risk modeling include?
(Brehm ch.2)
- corporate risk tolerance
- cost of capital allocation
- cost-benefit analysis for mitigation strategies
we desire a mechanism for internal risk modeling that achieves what four steps?
(Brehm ch.2)
1-starts with aggregate loss distribution, with many sources of risk
2-quantifies the impact of possible aggregate loss outcomes on the corporation
3-assigns a cost to each amount of impact
4-attributes the costs back to the risk sources
what is corporate risk tolerance?
Brehm ch.2
the organization’s size, financial resources, ability, and willingness to tolerate volatility
what is an efficient frontier of possible insurance portfolios?
(Brehm ch.2)
portfolios that minimize risk for a given rate of return
how is a standard efficient frontier graph plotted?
Brehm ch.2
- x-axis is risk
- y-axis is return
what three questions must a firm answer in order to select an efficient portfolio?
(Brehm ch.2)
- how much risk is the firm willing to tolerate?
- how much reward is the firm willing to give up for a given reduction in risk, and vice versa?
- are the risk-reward tradeoffs available along the efficient frontier acceptable to the firm?
historically, what has capital allocation referred to?
Brehm ch.2
allocating capital itself
why isn’t the historical concept of capital allocation useful for financial firms?
(Brehm ch.2)
-risk capital is theoretical -> when insurer writes an automobile policy, no actual risk capital is transferred to the policy
what should financial firms rely on instead of capital allocation?
(Brehm ch.2)
allocating the COST of capital
what is one way to allocate the cost of capital?
Brehm ch.2
by allocating risk capital first and then using it to assign the cost of that risk capital to portfolio elements
what is the Return on Risk-Adjusted Capital?
Brehm ch.2
the product of the risk-adjusted capital and a hurdle rate
what is Economic Value Added and a use for it?
Brehm ch.2
EVA = NPV Return - Cost of Capital
method of determining if an activity is worth pursuing
under a cost-benefit analysis and using the EVA approach where the cost of risk capital is determined directly, which mitigation strategies would be implemented?
(Brehm ch.2)
strategies that produce positive incremental EVA
under a cost-benefit analysis and using the capital allocation approach where we’ve allocated risk capital, what activities would we pursue?
(Brehm ch.2)
pursue activities where the benefit (decrease in required capital) exceeds the costs of implementation
what does economic capital typically refer to?
Brehm ch.2
VaR (value at risk) at a remote probability, such as 1-in-3000 (i.e. 99.97% percentile)
what are four advantages of using economic capital?
Brehm ch.2
- provides [F]ramework for setting acceptable risk levels for organization as a whole AND individual business units
- [U]nifying measure for all risks across an organization
- more [M]eaningful to management than RBC or capital adequacy ratios
- forces firm to [Q]uantify the risks it faces and combine them into a probability distr
how is VaR usually calculated for the organization as a whole and individual business units? and why is it beneficial?
(Brehm ch.2)
- usually calculated for all risks combined and then allocated down to individual business units
- NOT by summing up contributions of individual business units
- beneficial because it provides a consistent measurement of risk across units
how is the probability level selected for economic capital?
Brehm ch.2
- usually a round number for target level
- usually selected s.t. economic capital is slightly less than the actual capital being held (i.e. if insurer is holding capital at 1-in-3467 level, chose 1-in-3333)
- important to note that probability levels like 1-in-3000 are not in range of current modeling for insurers
what are moment-based risk measures?
Brehm ch.2
uses the moment of a random variable, such as the change in capital over an accounting period
what are two examples of moment-based risk measures?
Brehm ch.2
- variance
- standard deviation
what are two disadvantages of using variance or standard deviation as risk measures?
(Brehm ch.2)
- favorable deviations are treated same as unfavorable
- as quadratic measures (ie variance based on second moment) may not adequately capture market attitudes to risk (ie they understate risk)
what are three alternatives to variance or standard deviation as risk measures?
(Brehm ch.2)
- semistandard deviation
- skewness
- exponential moments
how does semistandard deviation address an issue of using variance/SD as risk measures?
(Brehm ch.2)
only uses unfavorable deviations
how does skewness address an issue of using variance/SD as risk measures?
(Brehm ch.2)
since it uses a higher moment, might better capture market attitudes
how do exponential moments address an issue of using variance/SD as risk measures?
(Brehm ch.2)
these types of measures capture the effect of large losses on the risk exponentially -> might better capture market attitudes
what do tail-based risk measures emphasize, and what is a disadvantage to this emphasis?
(Brehm ch.2)
- emphasize large losses only
- losses do not have to be large to cause problems for an insurer
what are five examples of tail-based measures?
Brehm ch.2
- VaR
- TVaR (tail value at risk)
- XTVaR (excess tail value at risk)
- EPD (expected policyholder deficit)
- Value of default put option
what is VaR (value at risk)?
Brehm ch.2
percentile of the probability distribution
what is TVaR (tail value at risk)?
Brehm ch.2
expected loss at a specified probability level and beyond
what is XTVaR (excess tail value at risk)?
Brehm ch.2
- calculated as TVaR minus the overall mean
- when mean is financed by other funding (something other than capital), then capital is only needed for losses above the mean
what is EPD (expected policyholder deficit)?
Brehm ch.2
- calculated by multiplying (TVaR - VaR) by the complement of the specified probability level
- UNCONDITIONAL expected value of defaulted losses
what is the difference between XTVaR and EPD?
Brehm ch.2
- XTVaR is CONDITIONAL expected value of TVaR - overall MEAN
- EPD is UNCONDITIONAL expected value of TVaR - !!VaR!!
what is the ‘value of default put option’ risk measure?
Brehm ch.2
- when capital/reinsurance is exhausted, firm has the right to default on its obligations and put the claims to the policyholders
- market value of this risk = default put option
how do probability transforms measure risk?
Brehm ch.2
shifting probability towards unfavorable outcomes and then computing a risk measure with the transformed probabilities
why are transformed means useful risk measures?
Brehm ch.2
- they often provide the market value of the risk being measured
- can be used for pricing purposes
what two transforms does the theory of pricing incomplete markets use, and what do they approximate?
(Brehm ch.2)
- minimum martingale transform
- minimum entropy martingale transform
- approximate market prices of reinsurance
what does the Wang transform approximate?
Brehm ch.2
-market prices of standard bonds and catastrophe bonds
how can transformed probabilities overcome the criticism of TVaR’s linearity in the tail?
(Brehm ch.2)
- under transformed probabilities, TVaR becomed WTVaR (weighted TVaR)
- NOT linear in tail
- considers a loss that is twice as large to be more than twice as bad
what are generalized moments?
Brehm ch.2
expectations of a random variable that are NOT simply powers of that variable
what are spectral measures? (in words)
Brehm ch.2
-a specific class of generalized moments that includes many of the tail-based measures
how can spectral measures be written?
Brehm ch.2
E[Y * eta(F(Y))]
for non-negative scalar function eta
if we want to choose a risk measure closer to market value, what measures might we choose?
(Brehm ch.2)
- WTVaR
- minimum entropy transform
- exponential moment
what are three examples of variables that influence the amount of capital an insurance company holds?
(Brehm ch.2)
- customer reaction
- capital requirements of rating agencies
- comparative profitability of new and renewal business
how does customer reaction influence the amount of capital an insurance company holds?
(Brehm ch.2)
- some customers care deeply about the amount of capital being held by insurers / the financial rating of an insurer
- often, declines in financial ratings -> declines in business
how do the capital requirements of rating agencies influence the amount of capital an insurance company holds?
(Brehm ch.2)
different rating agencies require different amounts of capital to be held by an insurer
how does the comparative profitability of new and renewal business influence the amount of capital an insurance company holds?
(Brehm ch.2)
- renewal business tends to be more profitable due to more informed pricing and underwriting -> important to retain renewal business
- if renewals comprise 80% of book -> insurer should be able to maintain 80% of its capital in a bad year -> should hold enough capital so that 20% of its capital could cover a fairly adverse event
what are two examples of what risk allocation can be used for?
(Brehm ch.2)
- setting premium and limits by line
- computing risk-adjusted profitability
what are two ways that risk allocation can be done?
Brehm ch.2
- allocate overall risk to individual business units
- estimate the contributions of individual business units to the overall risk
how would an insurance company allocate overall risk to individual business units?
(Brehm ch.2)
- calc overall risk measure
- calc risk measure for each individual business unit
- allocate overall risk measure to individual business units in proportion to their individual risk measures