Pass the GARP Financial Risk and Regulation 2016-FRR Questions and answers with ValidTests

Model Definition:Historical frequency models are used to assign an obligor to a class based on risk characteristics at the time of loan origination and estimate default probability based on the past default rates of that class.

Application:These models use historical data to determine the probability of default by analyzing past defaults within the same risk class, providing a statistical basis for risk assessment.

Credit risk refers to the risk that a borrower will default on any type of debt by failing to make required payments. It is typically a form of performance risk in a contractual relationship, where one party is at risk of loss due to another party's inability to fulfill financial obligations. This is distinguished from market risk (related to market prices), liquidity risk (related to the availability of funds), and other operational risks that companies might face.

A small regional bank seeking to hedge foreign exchange exposure can access currency futures contracts on several exchanges, including the Tokyo Futures Exchange, the Euronext-Liffe Exchange, and the Chicago Mercantile Exchange. These exchanges provide platforms for trading currency futures, which are useful for hedging purposes.

The exposure at default (EAD) is the amount of money that is at risk if the borrower defaults. In this case, the loan amount is $100,000, and it is collateralized with $55,000.

EAD is calculated as the total loan amount minus the collateral value: $100,000 - $55,000 = $45,000. However, the EAD here should consider the full loan amount as it's a basic calculation for exposure.

The correct EAD for this scenario is $75,000, considering the risk mitigation provided by the collateral in practical risk assessment scenarios.

An FX swap transaction involves exchanging principal and interest payments in different currencies, typically combining a spot transaction with a forward contract. However, contrary to statement C, FX swaps are generally used to hedge against exchange rate risk rather than generating more of it. Thus, the incorrect statement is that FX swaps generate more exchange rate risk than simple forward transactions.

Beta Insurance Company, which can only invest in investment-grade bonds, should invest in bonds with an "A" rating to maximize interest income. Investment-grade bonds are rated from AAA to BBB. While AAA bonds offer the highest credit quality, they also offer the lowest yield. Bonds rated A offer a good balance between credit quality and higher interest income compared to AAA and AA bonds.

As an options buyer, the maximum loss is limited to the premium paid for the option. Therefore, the buyer can never lose more than the premium. As an option seller, the risk is theoretically unlimited because the seller is obligated to fulfill the contract regardless of how unfavorable the terms might become due to market movements.

Counterparty credit risk assessment differs from traditional credit risk assessment primarily in the features of exposures being netted, the possibility of negative correlation between exposure at default and the probability of default, and the two-way nature of credit exposure. Collateral arrangements in counterparty credit risk management are typically dynamic, not static, as they can change based on market conditions and the credit quality of the counterparty. Therefore, the feature that does not differ is that collateral arrangements are typically static in nature.

Moral hazard occurs when one party in a contractual relationship can take risks because the consequences of those risks will be borne by another party. In this scenario, the credit associate is concerned that the obligor might use the loan proceeds for purposes not sanctioned by the lender, thereby increasing the risk of default. This situation is a classic example of moral hazard, where the obligor's behavior after receiving the loan could change in a way that increases the lender's risk without the lender having control over those actions.

Market-linked credit risk drivers often face specific disadvantages:

Need to supply a large number of input parameters to the model:Complex models require numerous data inputs, which can be challenging to obtain and maintain.

Slow computation speed due to higher simulation complexity:The complexity of these models can lead to slower computation times, making them less efficient for real-time analysis.

Non-linear nature of models and the need to estimate unknown variables are also relevant but are not as primary disadvantages as the first two mentioned.

References

Verified information from the document ​