The PRMIA 8010 - Operational Risk Manager (ORM) Exam is part of the Operational Risk Management certification path and is designed for professionals who want to validate practical knowledge in credit risk, counterparty risk, and risk mitigation. It is a strong fit for risk managers, analysts, and finance professionals who need a deeper understanding of modern credit risk concepts and portfolio-level decision making. Passing this exam demonstrates that you can apply core methods, modeling concepts, and valuation techniques in real-world risk environments. It also helps establish credibility in roles where accurate risk assessment and control are essential.
| # | Exam Topics | Sub-Topics | Approximate Weightage (%) |
|---|---|---|---|
| 1 | Classic Credit Products | Loans and advances, revolving credit facilities, basic product structures | 9% |
| 2 | Classic Credit Life Cycle | Origination, monitoring and review, repayment and default stages | 9% |
| 3 | Classic Credit Risk Methodology | Risk rating, exposure analysis, obligor assessment and loss concepts | 10% |
| 4 | Credit Derivatives and Securitization | Credit default swaps, structured credit, securitization mechanics | 10% |
| 5 | Modern Credit Risk Modeling | Model inputs, probability of default, loss estimation and validation | 11% |
| 6 | Credit Portfolio Management | Portfolio concentration, diversification, limits and aggregation | 10% |
| 7 | Basics of Counterparty Risk | Exposure drivers, settlement risk, default scenarios and market links | 8% |
| 8 | Risk Mitigation | Collateral, netting, guarantees and other control techniques | 9% |
| 9 | Credit Valuation Adjustment (CVA) | CVA concept, valuation impact, exposure profiling and pricing effects | 9% |
| 10 | CVA-related Aspects | Funding links, accounting considerations, model sensitivities | 7% |
| 11 | Managing Counterparty Risk and CVA | Governance, monitoring, hedging approaches and integrated management | 8% |
This exam tests more than simple memorization. Candidates are expected to understand credit and counterparty risk concepts, interpret modeling and valuation ideas, and connect theory to practical risk management decisions. Strong preparation requires the ability to recognize how products, exposures, mitigation tools, and CVA interact across the risk lifecycle. In other words, the exam measures both knowledge depth and applied judgment.
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It is intended for professionals pursuing the Operational Risk Management certification path and for candidates who want to demonstrate knowledge of credit risk, counterparty risk, and risk mitigation concepts.
It can be challenging because it covers both classic and modern risk topics, including modeling, portfolio management, and CVA-related concepts. Good preparation is important.
Braindumps alone are not the best approach. You should use them together with practice testing and topic review so you understand the concepts behind the questions.
Hands-on experience can help, but it is not the only way to prepare. A focused study plan with accurate questions and answers can still help candidates build the needed exam readiness.
They are very useful for exam readiness because they provide real exam simulation, verified answers, and repeated practice. For stronger results, many candidates combine them with topic review.
They help you practice the exam style, manage time better, and focus on the most relevant question patterns. That makes it easier to enter the exam with confidence and reduce surprises.
QA4Exam.com provides an Exam PDF with questions and answers and an Online Practice Test that simulates the exam experience for better preparation.
The loss severity distribution for operational risk loss events is generally modeled by which of the following distributions:
1. the lognormal distribution
2. The gamma density function
3. Generalized hyperbolic distributions
4. Lognormal mixtures
All of the distributions referred to in the question can be used to model the loss severity distribution for op risk. Therefore Choice 'c' is the correct answer.
The principle underlying the contingent claims approach to measuring credit risk equates the cost of eliminating credit risk for a firm to be equal to:
Under the contingent claims approach, a firm will default on its debt when the value of its assets fall to less than the face value of the debt. Debt holders can protect themselves against such an event by buying a put on the assets of the firm, where the strike price is equal to the value of the debt. In other words, Risky Debt + Put on the firm's assets = Risk free debt. This is because if the value of the assets is greater than the value of the debt, they will be paid in full. If the value of the assets is lower than the value of the debt, they will exercise the put and be paid in full.
Therefore the value of the put on the firm's assets with a strike equal to the value of the debt represents the cost of eliminating credit risk. Choice 'b' is the correct answer.
Note that it is improbable that a put on the firm's assets is available in real life to debt holders. However, the same effect can be synthetically achieved by using the shares of the firm as a proxy for its assets, and shorting an appropriate number of shares. Such a synthetic put will require frequent readjustments.
Under the KMV Moody's approach to credit risk measurement, which of the following expressions describes the expected 'default point' value of assets at which the firm may be expected to default?
A situation where a firm has more liabilities than assets does not necessarily imply default, so long as the firm is able to pay its obligations when they come due. Therefore, short term debts have a greater bearing on a firm's default than longer term debt. However, this is not to say that merely having enough to pay off the short term debts (ie debts due within one year) is enough to avoid default. Over time, the long term debt will also be turning to short term debt, and it may not be possible for the firm to roll over its liabilities without lenders considering the long term debt. The KMV approach considers the entire short term debt and half of the long term debt as the critical value of assets below which default will be triggered. Therefore Choice 'c' is the correct answer.
Which of the following is the most accurate description of EPE (Expected Positive Exposure):
When a derivative transaction is entered into, its value generally is close to zero. Over time, as the value of the underlying changes, the transaction acquires a positive or negative value. It is not possible to predict the future value of the transaction in advance, however distributional assumptions can be made and potential exposure can be measured in multiple ways. Of all the possible future exposures, it is generally positive exposures that are relevant to credit risk because that is the only situation where the bank may lose money from a default of the counterparty.
The maximum (generally a quantile eg, the 97.5th quantile) exposure possible over the time of the transaction is the 'Potential Future Exposure', or PFE.
The average of the distribution of positive exposures at a specified date before the longest trade in the portfolio is called 'Expected Exposure', or EE.
The expected positive exposure calculated as the weighted average of the future positive Expected Exposure across a time horize is called the EPE, or the 'Expected Positive Exposure'.
The price that would be received to sell an asset or paid to transfer a liability in an orderly transaction between market participants at the measurement date - is the 'fair value', as defined under FAS 157.
Therefore the corect answer is that EPE is the weighted average of the future positive expected exposure across a time horizon.
Which of the following is not a parameter to be determined by the risk manager that affects the level of economic credit capital:
Three parameters define economic credit capital: the risk horizon, ie the time horizon over which the risk is being assessed; the confidence level, ie the quintile of the loss distribution; and the definition of credit losses, ie whether mark-to-market losses are considered in addition to default-only losses. The probability of default is not a parameter within the control of the risk manager, but an input into the capital calculation process that he has to estimate. Therefore Choice 'c' is the correct answer.
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