Feb-2025 Free PRMIA 8011 Exam Question Practice Exams
Ace 8011 Certification with 330 Actual Questions
PRMIA 8011 Credit and Counterparty Manager (CCRM) Certificate Exam is a professional certification program designed for individuals seeking a career in the credit and counterparty risk management field. 8011 exam covers a wide range of topics related to credit and counterparty risk, including credit analysis, credit risk modeling, credit portfolio management, and counterparty risk management. The goal of the exam is to provide candidates with the knowledge and skills necessary to effectively manage credit and counterparty risk in financial institutions.
PRMIA 8011 CCRM Certificate Exam is ideal for professionals in the financial industry, particularly those who work in credit risk management, counterparty risk management, portfolio management, asset management, and trading. 8011 exam is designed to test their knowledge of credit and counterparty risk management, as well as their ability to apply this knowledge to practical scenarios. By earning the PRMIA 8011 CCRM certificate, an individual demonstrates their proficiency in managing credit and counterparty risk and highlights their commitment to professional development and career advancement.
NEW QUESTION # 185
If EV be the expected value of a firm's assets in a year, and DP be the 'default point' per the KMV approach to credit risk, and#be the standard deviation of future asset returns, then the distance-to-default is given by:
- A.
- B.
- C.
- D.
Answer: C
Explanation:
The distance to default is the number of standard deviations that expected asset values are away from the default point. The expression in Choice 'd' represents distance to default. Choice 'd' is the correct answer. The other choices are incorrect.
NEW QUESTION # 186
There are three bonds in a diversified bond portfolio, whose default probabilities are independent of each other and equal to 1%, 2% and 3% respectively over a 1 year time horizon. Calculate the probability that exactly 1 of the three bonds will default.
- A. .011%
- B. 5.8%
- C. 0%
- D. 2%
Answer: B
Explanation:
The probability that only one of the three bonds will default is equal to the sum of the probabilities of the three scenarios where one bond defaults and the other two survive. This probability is given by 1%*(1 - 2%)* (1 - 3%) + (1 - 1%)*2%*(1 - 3%) + (1 - 1%)*(1 - 2%)*3% = 5.7818%. Choice 'c' is the correct answer.
NEW QUESTION # 187
Which of the following carry greater counterparty risk: a forward contract on a 10 year note, or a commercial paper carrying a AA credit rating with identical maturity and notional?
- A. The commercial paper has greater credit risk as the entire notional is outstanding
- B. They both carry the same credit risk
- C. The forward contract has greater credit risk as its future gains are unknown
- D. Credit risk can not be compared in these terms
Answer: A
Explanation:
The commercial paper has greater credit risk as the entire notional is outstanding. On the forward contract, only the replacement value of the contract, which normally would be a mere fraction of the notional, would be at risk.
Therefore Choice 'd' is the correct answer.
NEW QUESTION # 188
A risk analyst attempting to model the tail of a loss distribution using EVT divides the available dataset into blocks of data, and picks the maximum of each block as a data point to consider.
Which approach is the risk analyst using?
- A. Expected loss approach
- B. Block Maxima approach
- C. Peak-over-thresholds approach
- D. Fourier transformation
Answer: B
Explanation:
The risk analyst is using the block maxima approach. The data points that result will then be used to fit a GEV distribution.
Expected shortfall refers to the expected losses beyond a specified threshold. The peaks-over-threshold approach is an alternative approach to the block maxima approach, and involves considering exceedances above a threshold. Fourier transformation is not relevant in this context, and is a non-sensical option.
NEW QUESTION # 189
Under the KMV Moody's approach to credit risk measurement, how is the distance to default converted to expected default frequencies?
- A. Using a normal distribution
- B. Using Monte Carlo simulations
- C. Using a proprietary database based on historical information
- D. Using migration matrices
Answer: C
Explanation:
KMV Moody's uses a proprietary database to convert the distance to default to expected default probabilities.
NEW QUESTION # 190
Which of the following distribution assumptions will produce the lowest probability of exceeding an extreme value, assuming identical means and variances?
- A. t-distribution
- B. a normal mixture distribution
- C. a normal distribution
- D. a distribution with kurtosis = 5
Answer: C
Explanation:
An 'extreme value' will be a value that will lie in the tails. We need to determine the distribution that will have the least weight in the tails so that the probability of exceeding this tail value is minimum across the given choices.
The t-distribution, a distribution with kurtosis > 3 and a normal mixture distribution are all distributions with tails fatter than that for a normal distribution. A normal distribution will have the 'thinnest' tails among the choices and therefore the lowest probability of exceeding a given tail event value.
A note about the t-distribution: Leptokurtic distributions (those that have kurtosis>3, ie kurtosis greater than that for a normal distribution) generally appear to have higher peaks on their PDF graphs. The t-distribution is flatter, and actually appears lower than a normal distribution, which may make one think that it has a lower kurtosis and therefore should have thinner tails than a normal distribution. But that is not so, and the "visual" inspection test fails for inferring the kurtosis from just looking a the shape of the distribution. The kurtosis of a t-distribution is given by the formula {3 + 6/(d - 4)}, where d is the degrees of freedom and d > 4. Therefore the kurtosis of a t-distribution is always greater than 3 as "6/(d-4)" will always be a positive number being added to 3. Therefore there is no conflict between a t-distribution having fatter tails than a normal distribution as it has a higher kurtosis, even though it appears 'lower' on a graph when superimposed with a normal distribution.
NEW QUESTION # 191
Which of the following credit risk models includes a consideration of macro economic variables such as unemployment, balance of payments etc to assess credit risk?
- A. KMV's EDF based approach
- B. The actuarial approach
- C. CreditPortfolio View
- D. The CreditMetrics approach
Answer: C
Explanation:
The correct answer is Choice 'd'. The following is a brief description of the major approaches available to model credit risk, and the analysis that underlies them:
1. CreditMetrics: based on the credit migration framework. Considers the probability of migration to other credit ratings and the impact of such migrations on portfolio value.
2. CreditPortfolio View: similar to CreditMetrics, but adds the impact of the business cycle to the evaluation.
3. The contingent claims approach: uses option theory by considering a debt as a put option on the assets of the firm.
4. KMV's EDF (expected default frequency) based approach: relies on EDFs and distance to default as a measure of credit risk.
5. CreditRisk+: Also called the 'actuarial approach', considers default as a binary event that either happens or does not happen. This approach does not consider the loss of value from deterioration in credit quality (unless the deterioration implies default).
NEW QUESTION # 192
The daily VaR of an investor's commodity position is $10m. The annual VaR, assuming daily returns are independent, is ~$158m (using the square root of time rule). Which of the following statements are correct?
I. If daily returns are not independent and show mean-reversion, the actual annual VaR will be higher than
$158m.
II. If daily returns are not independent and show mean-reversion, the actual annual VaR will be lower than
$158m.
III. If daily returns are not independent and exhibit trending (autocorrelation), the actual annual VaR will be higher than $158m.
III. If daily returns are not independent and exhibit trending (autocorrelation), the actual annual VaR will be lower than $158m.
- A. II and IV
- B. II and III
- C. I and IV
- D. I and III
Answer: B
Explanation:
In the case of mean reversion, the actual VaR would be lower than that estimated using the square root of time rule. This is because gains over a period would be followed by losses so that the price can revert to the mean.
In such cases, the autocorrelation between subsequent periods is effectivelynegative. This means the combined VaR over the periods would be lower.
In the case of positive autocorrelation, the actual VaR would be higher than that estimated using the square root of time rule for exactly the opposite reason than that described for the mean-reverting case.
(Recall that Variance (A + B) = Variance(A) + Variance(B) + 2*Correlation*StdDev(A)*StdDev(B). In cases where correlation is zero, the variance can simply be added together (which is the case for iid observations).
In cases where the correlation is negative, the combined variance (and therefore standard deviation and also VaR) will be lower; and where correlation is positive, the combined variance (and therefore standard deviation and also VaR) will be higher.) Therefore statement II is correct, and so is statement III. Choice 'c' is the correct answer.
NEW QUESTION # 193
In January, a bank buys a basket of mortgages with a view to securitize them by April. Due to an unexpected lack of investors in the securitization market, it is unable to do so and is left with the exposure to the mortgages on its books. This is an example of:
- A. Market risk
- B. Basis risk
- C. Pipeline and warehousing risk
- D. Wrong-way risk
Answer: C
Explanation:
This is an example of pipeline and warehousing risk. Generally there is a lag between acquiring assets and securitizing them due to the legal work to be done, the work to be done by the ratings agencies and in finding investors. During this period, the bank is exposed to the underlying assets purchased, and this is the 'pipeline and warehousing' risk as these assets are in the pipeline and warehoused for intended subsequent sale.
Generally this period tends to be short. However, during the credit crisis this became a significant source of risk as many banks were left exposed to risk they had intended to get rid of, but could not do so as the market dried up. The other choices are all incorrect.
Note that pipeline and warehousing risk is also known as 'securitzation risk'. It means that funding from securitization cannot be relied upon as a matter of fact.
NEW QUESTION # 194
Which of the following statements are correct:
I. A training set is a set of data used to create a model, while a control set is a set of data is used to prove that the model actually works II. Cleansing, aggregating or ensuring data integrity is a task for the IT department, and is not a risk manager's responsibility III. Lack of information on the quality of underlying securities and assets was a major cause of the collapse in the CDO markets during the credit crisis that started in 2007 IV. The problem of lack of historical data can be addressed reasonably satisfactorily by using analytical approaches
- A. II and IV
- B. All of the above
- C. I, III and IV
- D. I and III
Answer: D
Explanation:
Statement I is correct. Data is often divided into two sets - a 'training set' that is used to create and fine-tune the model while the 'control set' is used to prove that the model works on sample data. Back testing is then perfomed using actual data that becomes available over time, or may already be available as historical data.
Statement II is incorrect. A risk manager often spends a great deal of time in managing data, and ensuring that the data being used is accurate enough for the purpose it is being used for. A risk manager can expect to spend a good part of his or her team's time in cleansing data. While he or she can try to get the IT processes and systems to produce correct data in the first place so it requires minimal subsequent cleansing or validation, this task is likely to remain a key part of a risk manager's role for quite some time in the future given the challenges nearly all organizations face in managing risk data.
Statement III is correct. There was not enough granular data available on the underlying components of some of the derivative debt securities whose markets dried up during the crisis that began in 2007. This was because investors became increasingly unsure of what the value of these securities, such as CDOs was, leading to market seizure and firesale prices.
Statement IV is not correct. There is no easy solution to the lack of enough historical data, which is used to create as well as test models, and construct stress scenarios. Analytical approaches are not a good enough substitute for real market data. During the recent crisis, many instruments had rather short histories and there was not enough data available, and risk managers and portfolio managers relied upon analytical approaches to value and price them. Many of the assumptions that underpinned these approaches were untested in the real world and turned out to be incorrect.
Therefore Choice 'c' is the correct answer and the rest are incorrect.
NEW QUESTION # 195
Which of the following risks and reasons justify the use of scenario analysis in operational risk modeling:
I). Risks for which no internal loss data is available
II). Risks that are foreseeable but have no precedent, internally or externally
III). Risks for which objective assessments can be made by experts
IV). Risks that are known to exist, but for which no reliable external or internal losses can be analyzed
V). Reducing the complexity of having to fit statistical models to internal and external loss data
VI). Managing the capital estimation process as to produce estimates in line with management's desired capital buffers.
- A. All of the above
- B. I, II, III and IV
- C. I, II and III
- D. V
Answer: B
Explanation:
All the reasons and risks presented above are valid reasons for using scenario analysis, except V and VI - ie, the need to reduce the complexity of calculations is not a valid reason for using scenarioanalysis. Similarly, making operational risk capital estimates match management's desired capital allocation targets is also not a valid reason. Capital calculations are intended to provide adequate capital for managing the risk from operations, regardless of what management may desire them to be.
NEW QUESTION # 196
long bond position is hedged using a short position in the futures market. If the hedge performs as expected, then which of the following statements is most accurate:
- A. None of the above
- B. the investor will be able to avoid losses
- C. the investor will be able to avoid losses and will also be able to keep the gains on his positions
- D. the investor will be able to avoid losses but will also forgo the gains on his positions
Answer: D
Explanation:
If the hedge performs as expected, then any P&L on the long bond position will be offset by identical losses (or gains) on the hedge.
Since hedges are never perfect, and some residual risk such as basis risk, the inability to enter into an unrounded number of futures contracts will remain. However, the bulk of the risk would be mitigated, and the investor will be able to avoid any losses but will also forgo any gains. Therefore choice b is the correct answer and the rest are incorrect.
NEW QUESTION # 197
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 foroperational risk?
- A. The frequency distribution alone forms the basis for the loss distribution for operational risk
- B. A firm wide operational risk distribution is generated by adding together the frequency and severity distributions
- C. A firm wide operational risk distribution is generated using Monte Carlo simulations
- D. A firm wide operational risk distribution is set to be equal to the product of the frequency and severity distributions
Answer: C
Explanation:
Once the frequency distribution has been determined (for example, using the binomial, Poisson or the negative binomial distributions) and the severity distribution has also been determined (for example, using the lognormal, gamma or other functions), the loss distribution can be produced by a Monte Carlo simulation using successive drawings from each of these two distributions. It is assumed that the severity and frequency are independent of each other. The resulting distribution gives a distribution showing the losses for operational risk, from which there Op Risk VaR can be determined using the appropriate percentile.Therefore Choice 'b' is the correct answer.
NEW QUESTION # 198
When building a operational loss distribution by combining a loss frequency distribution and a loss severity distribution, it is assumed that:
I. The severity of losses is conditional upon the number of loss events II. The frequency of losses is independent from the severity of the losses III. Both the frequency and severity of loss events are dependent upon the state of internal controls in the bank
- A. I and II
- B. I, II and III
- C. II and III
- D. II
Answer: D
Explanation:
When a operational loss frequency distribution (which, for example, may be based upon a Poisson distribution) and a loss severity distribution (for example, based upon a lognormal distribution), it is assumed that the frequency of losses and the severity of the losses are completely independent and do not impact each other. Therefore statement II is correct, and the others are not valid assumptions underlying the operational loss distribution.
NEW QUESTION # 199
Identify the correct sequence of events as it unfolded in the credit crisis beginning 2007:
I. Mortgage defaults increased
II. Collapse in prices of unrelated assets as banks tried to create liquidity III. Banks refused to lend or transact with each other IV. Asset prices for CDOs collapsed
- A. I, III, IV and II
- B. IV, I, II and III
- C. III, IV, I and II
- D. I, IV, III and II
Answer: D
Explanation:
According to a paper by the BCBS, here is an excellent summary of what happened. Based on this, Choice 'c' is the correct answer.
"At the outset of the crisis, mortgage default shocks played a part in the deterioration of market prices of collateralised debt obligations (CDOs). Simultaneously, these shocks revealed deficiencies in the models used to manage and price these products. The complexity and resulting lack of transparency led to uncertainty about the value of the underlying investment. Market participants then drastically scaled down their activity in the origination and distribution markets and liquidity disappeared. The standstill in the securitisation markets forced banks to warehouse loans that were intended to be sold in the secondary markets. Given a lack of transparency of the ultimate ownership of troubled investments, funding liquidity concerns were triggered within the banking sector as banks refused to provide sufficient funds to each other. This in turn led to the hoarding of liquidity, exacerbating further the funding pressures within the banking sector. The initial difficulties in subprime mortgages also fed through to a broader range of market instruments since the drying up of market and funding liquidity forced market participants to liquidate those positions which they could trade in order to scale back risk. An increase in risk aversion also led to a general flight to quality, an example of which was the high withdrawals by households from money market funds."
NEW QUESTION # 200
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