2025 Provide Updated PRMIA 8011 Dumps as Practice Test and PDF
8011 Dumps are Available for Instant Access
NEW QUESTION # 57
Which of the following is true in relation to Principal Component Analysis (PCA)?
I. An n x n positive definite square matrix will have n-1 eigenvectors
II. The eigenvalues for a correlation matrix can be derived from the corresponding values for the covariance matrix III. Principal components are uncorrelated to each other IV. PCA is useful as it allows 100% of the variation in a complex system to be explained by the first three principal components
- A. I and III
- B. III and IV
- C. I, II and IV
- D. III
Answer: D
Explanation:
An n x n positive definite square matrix will have n eigenvectors, and not n - 1. Therefore statement I is incorrect.
A correlation and covariance matrix are related to each other through the matrix of standard deviations. If the covariance matrix is represented by V, the correlation matrix by C and D is the diagonal matrix of standard deviations, then V = DCD. However, there is no simple relationship between the eigenvalues of the two matrices, and it is not possible to derive the eigenvalues for one given the eigenvalues for the other. Therefore statement II is false.
Principal components are uncorrelated to each other. That is correct, and in fact PCA is useful because of this being so. Statement III is therefore true.
PCA does not explain 100% of the variation in a system with just three components - statement IV is false.
(Remember though that most (though not 100%) of the variation in a system of term structures is explained by the first three components - trend, tilt and curvature).
Thus Choice 'd' is the correct answer.
NEW QUESTION # 58
If A and B be two debt securities, which of the following is true?
- A. The probability of simultaneous default of A and B is greatest when their default correlation is +1
- B. The probability of simultaneous default of A and B is not dependent upon their default correlations, but on their marginal probabilities of default
- C. The probability of simultaneous default of A and B is greatest when their default correlation is negative
- D. The probability of simultaneous default of A and B is greatest when their default correlation is 0
Answer: A
Explanation:
If the marginal probability of default of two securities A and B is P(A) and P(B), then the probability of both of them defaulting together is affected by the default correlation between them. Marginal probability of default means the probability of default of each security on a standalone basis, ie, the probability of default of one security without considering the other security.
The relationship that expresses the probability of joint default of the two is given by the following expression:
A black line with letters and numbers Description automatically generated
It is easy to see that in a situation where the Default Correlation of A & B = 0, ie, the defaults are independent, the combined probability of default is P(A)*P(B), exactly what we would intuitively expect.
Also in the other extreme case where the default correlation is equal to 1 and P(A) = P(B) = p, ie the securities behave in an identical way, the expression resolves to just p, which is what we would expect.
From the above relationship, it is clear that the probability of joint default of A and B is the greatest when default correlation between the two is equal to 1, ie the securities behave in an identical way. Therefore Choice 'a' is the correct answer.
NEW QUESTION # 59
If # and # are the expected rate of return and volatility of an asset whose prices are log-normally distributed, and # a random drawing from a standard normal distribution, we can simulate the asset's returns using the expressions:
- A. # + #.#
- B. -# + #.#
- C. # / #.#
- D. # - #.#
Answer: A
Explanation:
A standard model for representing asset returns in finance is the Geometric Brownian Motion process, and returns according to this model can be estimated by the expression given in Choice 'b'. Note that prices according to this model are log-normally distributed, and returns are normally distributed.
NEW QUESTION # 60
Which of the following event types is hacking damage classified under Basel II operational risk classifications?
- A. Technology risk
- B. Information security
- C. External fraud
- D. Damage to physical assets
Answer: C
Explanation:
Choice 'b' is the correct answer. All other answers are incorrect.
Refer to the detailed loss event type classification under Basel II (see Annex 9 of the accord). You should know the exact names of all loss event types, and examples of each.
NEW QUESTION # 61
The estimate of historical VaR at 99% confidence based on a set of data with 100 observations will end up being:
- A. the weighted average of the top 2.33 observations
- B. the worst single observation in the data set
- C. the extrapolated returns of the last 1.64 observations
- D. None of the above
Answer: B
Explanation:
The VaR in this case will be the top quintile of observations. In this case, since there are exactly 100 observations, this would mean the worst return would become the VaR. Therefore Choice 'b' is the correct answer. Choice 'a' and Choice 'c' make no sense. This highlights that at higher confidence levels, fewer and fewer observations impact the VaR if we are using historical simulation based VaR.
NEW QUESTION # 62
Which of the following represents a riskier exposure for a bank: A LIBOR based loan, or an Overnight Indexed Swap? Which of the two rates is expected to be higher?
Assume the same counterparty and the same notional.
- A. Overnight Index Swap; OIS rate will be higher
- B. A LIBOR based loan; LIBOR rate will be higher
- C. A LIBOR based loan; OIS rate will be higher
- D. Overnight Index Swap; LIBOR rate will be higher
Answer: B
Explanation:
A LIBOR based loan requires cash to move from the lender to the borrower in the amount of the notional. The Overnight Index Swap requires only the exchange of interest payments, and therefore represents less risk.
Therefore the LIBOR based loan is a riskier exposure.
The LIBOR is generally higher than the OIS. In fact, the difference between the two, the LIBOR-OIS spread, is a standard measure of the risk premium in the market that goes up when the risk of default by counterparty banks is considered high. This is because when the market perceives the risk of default to be high, the participants need a risk premium to take on the default risk which is considerably lesser with the OIS.
NEW QUESTION # 63
Which of the following is not a possible early warning indicator in relation to the health of a counterparty?
- A. Falling stock price
- B. A decline in the counterparty's corporate debt yield
- C. Credit rating downgrade
- D. Negative publicity
Answer: B
Explanation:
Negative publicity, a downgrade in the credit rating, a falling stock price are all pointers to potential credit problems, and the counterparty credit monitoring group of a bank should be using these as possible early indicators of an upcoming credit health problem. A decline in the yield of the debt issued by a counterparty means its spread is declining and the health of the credit is actually improving. Therefore a decline in the counterparty's corporate debt yield cannot be used as an indicator of potential credit problems.
Choice 'c' is therefore the correct answer.
NEW QUESTION # 64
Which of the following decisions need to be made as part of laying down a system for calculating VaR:
I. How returns are calculated, eg absoluted returns, log returns or relative/percentage returns II. Whether VaR is calculated based on historical simulation, Monte Carlo, or is computed parametrically III. Whether binary/digital options are included in the portfolio positions IV. How volatility is estimated
- A. I and III
- B. II and IV
- C. I, II and IV
- D. All of the above
Answer: C
Explanation:
While conceptually VaR is a fairly straightforward concept, a number of decisions need to be made to select between the different choices available for the exact mechanism to be used for the calculations.
There is more than one way to calculate returns. Absolute returns may be relevant for risk factors where the size of the movement is unrelated to its current value. For other risk factors, the returns might scale with the size of the existing value of the risk factor, eg equity prices. The right return definition needs to be adopted for each risk factor, therefore 'I' is a correct choice.
The risk analyst has a Choice 'b'etween parametric VaR, Monte Carlo, and historical simulation based VaR.
'II' therefore is one of the decisions that needs to be made (though historical simulation is the choice most often made).
The decision as to what to include in a portfolio is not a decision that is affected by choices made for VaR calculations. 'III' is therefore not a correct answer.
There are multiple ways to calculate volatility - including decisions on how long back in time to go for the data, and whether volatility clustering needs to be accounted for using EWMA or GARCH. Therefore 'IV' is a correct answer.
NEW QUESTION # 65
What is the risk horizon period used for credit risk as generally used for economic capital calculations and as required by regulation?
- A. 10 years
- B. 10 days
- C. 1-day
- D. 1 year
Answer: D
Explanation:
The credit risk horizon for credit VaR is generally one year. Therefore Choice 'b' is the correct answer.
NEW QUESTION # 66
For a loan portfolio, unexpected losses are charged against:
- A. Credit reserves
- B. Regulatory capital
- C. Economic credit capital
- D. Economic capital
Answer: C
Explanation:
Credit reserves are created in respect of expected losses, which are considered the cost of doing business.
Unexpected losses are borne by economic credit capital, which is a part of economic capital. This question is a bit nuanced - and 'economic capital' would generally be a good answer aswell. However, taking a rather beady eyed view of the terminology and distinguishing between 'economic credit capital' which is a subset of
'economic capital', we can say that 'economic credit capital' is a more appropriate Choice 'a's the question relates to credit losses.
NEW QUESTION # 67
When doing stress tests based on historical scenarios, if no appropriate historical scenarios exist for a security, it is most INAPPROPRIATE to:
- A. Estimate a shock factor based upon extrapolation
- B. Estimate a shock factor based on other instruments that might be considered as proxies for such a security
- C. Estimate a shock factor based upon interpolation
- D. Leave the position unshocked
Answer: D
Explanation:
Where a historical shock factor does not exist for a security, for example because the security is new or was only thinly traded earlier, or because a particular emerging market was immature at the time of the historical scenario being considered, it is inappropriate to leave the position unshocked. By and large, the general rule to be followed when carrying out stress testing is to leave no position unshocked. Therefore Choice 'b' is the correct answer.
Choice 'd', Choice 'a' and Choice 'c' all represent valid approaches to estimating a shock factor in such cases.
NEW QUESTION # 68
A corporate bond has a cumulative probability of default equal to 20% in the first year, and 45% in the second year. What is the monthly marginal probability of default for the bond in the second year, conditional on there being no default in the first year?
- A. 3.07%
- B. 15.00%
- C. 2.60%
- D. 31.25%
Answer: A
Explanation:
Note that marginal probabilities of default are the probabilities for default for a given period, conditional on survival till the end of the previous period. Cumulative probabilities of default are probabilities of default by a point in time, regardless of when the default occurs. If the marginal probabilities of default for periods 1, 2... n are p1, p2...pn, then cumulative probability of default can be calculated as Cn = 1 - (1 - p1)(1-p2)...(1-pn).
For this question, we can calculate the marginal probability of default for year 2 by solving the equation [1 - (1 - 20%)(1 - P2) = 45%] for P2. Solving, we get the marginal probability of default during year 2 as 31.25%.
Since this is the annual marginal probability of default, we will need to convert it to a monthly number, which we can do by solving the following equation where M1 is the monthly marginal probability of default.
1 - 31.25% = (1 - M1)^12, implying M1 = 3.07%
NEW QUESTION # 69
If the marginal probabilities of default for a corporate bond for years 1, 2 and 3 are 2%, 3% and 4% respectively, what is the cumulative probability of default at the end of year 3?
- A. 9.00%
- B. 9.58%
- C. 91.26%
- D. 8.74%
Answer: D
Explanation:
Marginal probabilities of default are the probabilities for default for a given period, conditional on survival till the end of the previous period. Cumulative probabilities of default are probabilities of default by a point in time, regardless of when the default occurs. If the marginal probabilities of default for periods 1, 2... n are p1, p2...pn, then cumulative probability of default can be calculated as Cn = 1 - (1 - p1)(1-p2)...(1-pn). For this question, we can calculate the probability of default for year 3 as =1 - (1-2%)*(1-3%)*(1-4%) = 8.74%
NEW QUESTION # 70
For a FX forward contract, what would be the worst time for a counterparty to default (in terms of the maximum likely credit exposure)
- A. At maturity
- B. Roughly three-quarters of the way towards maturity
- C. Right after inception
- D. Indeterminate from the given information
Answer: A
Explanation:
With the passage of time, the range of possible values the FX contract can take increases. Therefore the maximum value of the contract, which is when the credit risk would be maximum, would be at maturity.
(Note that this is different than an interest rate swap whose value at maturity approaches zero.) Therefore Choice 'a' is the correct answer and the others are incorrect.
NEW QUESTION # 71
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. I and III
- B. II and IV
- C. All of the above
- D. I, III and IV
Answer: A
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 # 72
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 distribution with kurtosis = 5
- D. a normal distribution
Answer: D
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 # 73
Which of the following decisions need to be made as part of laying down a system for calculating VaR:
I. The confidence level and horizon
II. Whether portfolio valuation is based upon a delta-gamma approximation or a full revaluation III. Whether the VaR is to be disclosed in the quarterly financial statements IV. Whether a 10 day VaR will be calculated based on 10-day return periods, or for 1-day and scaled to 10 days
- A. I and III
- B. II and IV
- C. I, II and IV
- D. All of the above
Answer: C
Explanation:
While conceptually VaR is a fairly straightforward concept, a number of decisions need to be made to select between the different choices available for the exact mechanism to be used for the calculations.
The Basel framework requires banks to estimate VaR at the 99% confidence level over a 10 day horizon. Yet this is a decision that needs to be explicitly made and documented. Therefore 'I' is a correct choice.
At various stages of the calculations, portfolio values need to be determined. The valuation can be done using a 'full valuation', where each position is explicitly valued; or the portfolio(s) can be reduced to a handful of risk factors, and risk sensitivities such as delta, gamma, convexity etc be used to value the portfolio. The decision between the two approaches is generally based on computational efficiency, complexity of the portfolio, and the degree of exactness desired. 'II' therefore is one of the decisions that needs to be made.
The decision as to disclosing the VaR in financial filings comes after the VaR has been calculated, and is unrelated to the VaR calculation system a bank needs to set up. 'III' is therefore not a correct answer.
Though the Basel framework requires a 10-day VaR to be calculated, it also allows the calculation of the 1- day VaR and and scaling it to 10 days using the square root of time rule. The bank needs to decide whether it wishes to scale the VaR based on a 1-day VaR number, or compute VaR for a 10 day period to begin with.
'IV' therefore is a decision to be made for setting up the VaR system.
NEW QUESTION # 74
What ensures that firms are not able to selectively default on some obligations without being considered in default on the others?
- A. The bankruptcy code
- B. Chapter 11 regulations
- C. Cross-default clauses in debt covenants
- D. Exchange listing requirements
Answer: C
Explanation:
It is the cross-default clauses in debt agreements that generally provide that a default on one obligation is considered a credit event applying to all debts of the obligor, and therefore we are able to deal with credit risk at the borrower level, and not at the level of the individual security. It also helps avoid situations where borrowers can selectively default on some obligations while continuing to service others. Therefore Choice 'a' is the correct answer. The other choices are incorrect.
NEW QUESTION # 75
What percentage of average annual gross income is to be held as capital for operational risk under the basic indicator approach specified under Basel II?
- A. 0.15
- B. 0.125
- C. 0.12
- D. 0.08
Answer: A
Explanation:
Banks using the basic indicator approach must hold 15% of the average annual gross income for the past three years, excluding any year that had a negative gross income. Therefore Choice 'd' is the correct answer.
NEW QUESTION # 76
Which loss event type is the loss of personally identifiable client information classified as under the Basel II framework?
- A. Technology risk
- B. Clients, products and business practices
- C. External fraud
- D. Information security
Answer: B
Explanation:
Choice 'b' is the correct answer. All other answers are incorrect.
Refer to the detailed loss event type classification under Basel II (see Annex 9 of the accord). You should know the exact names of all loss event types, and examples of each.
NEW QUESTION # 77
Which of the following statements are true:
I. Stress testing, if exhaustive, can replace traditional risk management tools such as value-at-risk (VaR) II. Stress tests can be particularly useful in identifying risks with new products III. Stress testing is distinct from a bank's ICAAP carried out periodically IV. Stress testing is a powerful communication tool that can convey risks to decisionmakers in an organization
- A. I and III
- B. I, II and III
- C. All of the above
- D. II and IV
Answer: D
Explanation:
Stress testing provides an independent and complementary perspective to other risk management tools such as value-at-risk and economic capital. Both are tools that serve similar purposes but are not interchangeable.
Stress testing, no matter how exhaustively done, can not replace other tools such as those based on analytical or historical models. It can provide a useful sense check to validate models and assumptions, but is not a replacement for traditional techniques. Therefore statement I is false.
Stress testing can certainly help identify risks with new products for which historical data may be limited, and analytical models may be based upon many unproven assumptions. It can help challenge the risk characteristics of new products where stress situations have not been observed in the past. Therefore statement II is correct.
ICAAP stands for the 'internal capital adequacy assessment process' performed by a bank (remember the acronym and its expansion). Stress testing is an integral part of a firm's ICAAP, and not distinct. It is one of the elements of the internal process. Therefore statement III is false.
Statement IV is correct as stress testing is indeed a powerful tool that can communicate risks throughout the organization as the stress scenarios are easier to comprehend than arcane statistical models. They are also easier to explain to regulators, and are a powerful communication tool.
Thus Choice 'c' is the correct answer.
NEW QUESTION # 78
Which of the following statements are true:
I. Pre-settlement risk is the risk that one of the parties to a contract might default prior to the maturity date or expiry of the contract.
II. Pre-settlement risk can be partly mitigated by providing for early settlement in the agreements between the counterparties.
III. The current exposure from an OTC derivatives contract is equivalent to its current replacement value.
IV. Loan equivalent exposures are calculated even for exposures that are not loans as a practical matter for calculating credit risk exposure.
- A. II and IV
- B. III and IV
- C. II and III
- D. I, II, III and IV
Answer: D
Explanation:
Pre-settlement risk is the risk that one of the counterparties defaults prior to the date for the maturity of the transaction in question. This may be an unrelated default, in fact there may have been no default on that particular contract, but the party may have defaulted on its other obligations, or filed for bankruptcy. To deal with such cases and to protect the interests of both the parties, it is common to provide for immediate termination of positions and settlement based on the current replacement value of the contracts. Therefore statements I and II are correct.
Statement III is correct as well - the exposure from an OTC derivative contract derives from its current replacement value, and not the notional. If the current replacement value is negative, then the credit exposure is considered equal to zero.
Statement IV is correct as it is quite common to restate all exposures - those from credit lines, OTC derivatives etc - in loan equivalent terms prior to estimating credit risk.
NEW QUESTION # 79
......
PRMIA 8011 exam is made up of 80 multiple-choice questions, to be answered within a three-hour time limit. 8011 exam is computer-based and is accessible through various testing centres around the world. The passing mark for the exam is 60%, and candidates who successfully pass the exam will earn the prestigious PRMIA CCRM designation, marking them as experts in credit and counterparty risk management.
To prepare for the PRMIA 8011 exam, candidates must have a strong understanding of financial markets and instruments, as well as the principles of risk management. PRMIA offers a variety of study materials and resources to help candidates prepare for the exam, including study guides, practice exams, and online courses. Additionally, PRMIA hosts events and webinars that cover topics related to credit and counterparty risk, providing candidates with valuable insights and networking opportunities.
Updated 8011 Dumps Questions For PRMIA Exam: https://www.actual4labs.com/PRMIA/8011-actual-exam-dumps.html
Valid 8011 Dumps for Helping Passing 8011 Exam!: https://drive.google.com/open?id=1WW4NIiHAzdmxyoFVUAeJc8MDY4gaztFG