8008試験無料問題集「PRMIA PRM Certification - Exam III: Risk Management Frameworks, Operational Risk, Credit Risk, Counterparty Risk, Market Risk, ALM, FTP - 2015 Edition 認定」

When compared to a medium severity medium frequency risk, the operational risk capital requirement for a high severity very low frequency risk is likely to be:

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Once the frequency and severity distributions for loss events have been determined, which of the following is an accurate description of the process to determine a full loss distribution for operational risk?

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Which of the following is true for the actuarial approach to credit risk modeling (CreditRisk+):

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Which of the following are measures of liquidity risk
I. Liquidity Coverage Ratio
II. Net Stable Funding Ratio
III. Book Value to Share Price
IV. Earnings Per Share

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Which of the following statements is true in relation to a normal mixture distribution:
I. The mixture will always have a kurtosis greater than a normal distribution with the same mean and variance II. A normal mixture density function is derived by summing two or more normal distributions III. VaR estimates for normal mixtures can be calculated using a closed form analytic formula

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Which of the following represent the parameters that define a VaR estimate?

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Which of the following is not true about the ISDA master agreement (ISDA MA):

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What would be the correct order of steps to addressing data quality problems in an organization?

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A risk management function is best organized as:

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Which of the following is not a parameter to be determined by the risk manager that affects the level of economic credit capital:

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When modeling severity of operational risk losses using extreme value theory (EVT), practitioners often use which of the following distributions to model loss severity:
I. The 'Peaks-over-threshold' (POT) model
II. Generalized Pareto distributions
III. Lognormal mixtures
IV. Generalized hyperbolic distributions

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Which of the following statements is true:
I. Recovery rate assumptions can be easily made fairly accurately given past data available from credit rating agencies.
II. Recovery rate assumptions are difficult to make given the effect of the business cycle, nature of the industry and multiple other factors difficult to model.
III. The standard deviation of observed recovery rates is generally very high, making any estimate likely to differ significantly from realized recovery rates.
IV. Estimation errors for recovery rates are not a concern as they are not directionally biased and will cancel each other out over time.

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