RELIABLE 8011 BRAINDUMPS BOOK, 8011 LATEST TEST DISCOUNT

Reliable 8011 Braindumps Book, 8011 Latest Test Discount

Reliable 8011 Braindumps Book, 8011 Latest Test Discount

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PRMIA Credit and Counterparty Manager (CCRM) Certificate Exam Sample Questions (Q254-Q259):

NEW QUESTION # 254
Which of the following statements are true:
I. Common scenarios for stress tests include the 1997 Asian crisis, the Russian default in 1998 and other well known economic stress situations.
II. Stress tests provide the assurance that an institution's worst case losses will be covered.
III. Performing stress tests is highly recommended but is not mandated under Basel II.
IV. Historical events can be modeled quite accurately as they have defined start and end dates.

  • A. I only
  • B. I and II
  • C. All of the above
  • D. I, III and IV

Answer: A

Explanation:
Stress tests can cover known events, but since the future is unknown, and new events may be entirely different from what has happened in the past, they provide no assurance that an institution's worst case losses would be covered. Hence II is false.
Stress testing is required to be performed as part of Basel II, and therefore III is false.
Historical events do not have sharply defined start and end dates. Often, even after a crises ends, its after effects may continue to affect the markets for a long time. In such cases, it may be difficult to define the start and end of the crises. In many cases, the crises may persist for months or even years, making it difficult for the risk manager to identify a time period that covers the essence of the crises, and yet is focused enough to constitute a plausible scenario. Therefore IV is false too. Only I is true, and the correct answer is Choice 'b'.


NEW QUESTION # 255
Which of the following techniques is used to generate multivariate normal random numbers that are correlated?

  • A. Markov process
  • B. Pseudo random number generator
  • C. Simulation
  • D. Cholesky decomposition of the correlation matrix

Answer: D

Explanation:
A PRNG (pseudo random number generators of the kind included in statistical packages and Excel) is used to generate random numbers that are not correlated with each other, ie they are random. A Markov process is a stochastic model that depends only upon its current state. Simulation underlies many financial calculations.
None of these directly relate to generating correlated multivariate normal random numbers. That job is done utilizing a Cholesky decomposition of the correlation matrix.
Specifically, a Cholesky decomposition involves the factorization of the correlation matrix into a lower triangular matrix (a square matrix all of whose entries above the diagonal are zero) and its transpose. This can then be combined with random numbers to generate a set of correlated normal random numbers. This technique is used for calculating Monte Carlo VaR.


NEW QUESTION # 256
For a hypotherical UoM, the number of losses in two non-overlapping datasets is 24 and 32 respectively. The Pareto tail parameters for the two datasets calculated using the maximum likelihood estimation method are 2 and 3. What is an estimate of the tail parameter of the combined dataset?

  • A. Cannot be determined
  • B. 2.57
  • C. 0
  • D. 2.23

Answer: B

Explanation:
For a number of processes, including many in finance, while a distribution such as the normal distribution is a good approximation of the distribution near the modal value of the variable, the same normal distribution may not be a good estimate of the tails. For this reason, the Pareto distribution is one of the distributions that is often used to model the tails of another distribution. Generally, if you have a set of observations, and you discard all observations below a threshold, you are left with what are called 'exceedances'. The threshold needs to be reasonably far out in the tail. If from each value of the exceedances you subtract the threshold value, the resulting dataset is estimated by the generalized Pareto distribution.
A mathematical equation with black text Description automatically generated

The Pareto distribution has a 'shape parameter'. The average of two Pareto distributions with tail parameters#1 and#2 (#is a Greek character, pronounced as 'sai' (saa-eee)), is the weighted average of#1 and#2 with weights proportional to the number of observations in the datasets underlying the distributions.


NEW QUESTION # 257
The definition of operational risk per Basel II includes which of the following:
I. Risk of loss resulting from inadequate or failed internal processes, people and systems or from external events II. Legal risk III. Strategic risk IV. Reputational risk

  • A. I, II, III and IV
  • B. I and III
  • C. II and III
  • D. I and II

Answer: D

Explanation:
Operational risk as defined in Basel II specifically excludes strategic and reputational risk. Therefore Choice
'd' is the correct answer.
Note that Basel II defines operational risk as follows:
Operational risk is defined as the risk of loss resulting from inadequate or failed internal processes, people and systems or from external events. This definition includes legal risk, but excludes strategic and reputational risk.


NEW QUESTION # 258
Which of the following statements is correct?

  • A. Dynamic simulations of liquidity needs require an assumption of counterparty risk remaining constant
  • B. Market liquidity risk is idiosyncratic while funding liquidity risk is not
  • C. Market liquidity risks present themselves in the form of higher bid offer spreads
  • D. Funding liquidity risks present themselves in the form of an adverse market impact on prices from a trade

Answer: C

Explanation:
Simulations of liquidity needs can be of various types: historical simulations, where the current positions are subjected to the kind of liquidity shocks experienced in the past; static simulations, where a static view of current positions, counterparty credit position, and the business is considered; and dynamic simulations where all factors are dynamically changed including counterparty credit standing, changes to the current portfolio and behavioural aspects of the business. Choice 'b' is incorrect as dynamic simulations require no such assumptions.
Liquidity risk is often thought of in terms of market liquidity risk and funding liquidity risk. Market liquidity risk relates to the the liquidity for a particular type of asset drying up. For example, during the 2007-2009 crisis a large number of corporate bonds and structured products became extremely illiquid. Market liquidity risk manifests itself in the form of higher bid offer spreads, higher pricde impact, and a reduction in the normal market size (ie, the 'normal' size of a trade for which a dealer quote is valid for). Therefore Choice 'd' is correct. Similarly, Choice 'a' is incorrect as adverse price impact results from market liquidity risk and not funding liquidity risk.
Market liquidity risk applies to the entire market and all its participants. It is not idiosyncratic. Therefore Choice 'c' is incorrect too. Funding liquidity risk on the other hand applies to an individual institution that is under liquidity stress in the sense of not being able to meet its obligations such as margin or collateral calls because of a lack of liquid assets. Thus it is funding liquidity that is idiosyncratic. Market liquidity risk often leads to funding liquidity risks materializing as firms are unable to get to the funds they were relying upon due to assets becoming illiquid.


NEW QUESTION # 259
......

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