8011 無料問題集「PRMIA Credit and Counterparty Manager (CCRM) Certificate」

Which loss event type is the failure to timely deliver collateral classified as under the Basel II framework?

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For a loan portfolio, unexpected losses are charged against:

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

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A stock that follows the Weiner process has its future price determined by:

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Which of the following situations are not suitable for applying parametric VaR:
I. Where the portfolio's valuation is linearly dependent upon risk factors II. Where the portfolio consists of non-linear products such as options and large moves are involved III. Where the returns of risk factors are known to be not normally distributed

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A risk management function is best organized as:

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If the systematic VaR for an equity portfolio is $100 and the specific VaR is $80, then which of the following is true in relation to the total VaR:

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An assumption regarding the absence of ratings momentum is referred to as:

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Which of the following distribution assumptions will produce the lowest probability of exceeding an extreme value, assuming identical means and variances?

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If A and B be two uncorrelated securities, VaR(A) and VaR(B) be their values-at-risk, then which of the following is true for a portfolio that includes A and B in any proportion. Assume the prices of A and B are log- normally distributed.

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Which of the following can be used to reduce credit exposures to a counterparty:
I. Netting arrangements
II. Collateral requirements
III. Offsetting trades with other counterparties
IV. Credit default swaps

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Which of the following is not a risk faced by a bank from holding a portfolio of residential mortgages?

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Which of the following are valid approaches to leveraging external loss data for modeling operational risks:
I. Both internal and external losses can be fitted with distributions, and a weighted average approach using these distributions is relied upon for capital calculations.
II. External loss data is used to inform scenario modeling.
III. External loss data is combined with internal loss data points, and distributions fitted to the combined data set.
IV. External loss data is used to replace internal loss data points to create a higher quality data set to fit distributions.

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