Free GARP 2016-FRR Practice Exam with Questions & Answers | Set: 9

While diversifying a bank’s credit portfolio helps spread out credit risks, the goal in debt management is to minimize the impact of defaults, and default risk cannot be fully hedged away, meaning it will always exist for the credit holder or the person insuring against it.

However, it is incorrect to state that the value of loan exposure changes similarly to equity investments. Loan exposures are generally less volatile compared to equities, and their value is typically more stable.

Key Drivers of Loss Given Default:According to Moody's study, the most important drivers of loss given default (LGD) historically have been debt type and seniority, and the macroeconomic environment. These factors directly impact the severity of losses in the event of default by determining the priority of debt repayments and the overall economic conditions affecting the obligor's ability to recover.

Exclusions:The asset type of the obligor and recourse are not considered primary drivers of LGD in Moody's historical analysis. While they can influence the recovery process, they do not hold the same level of importance as the debt structure and economic conditions.

A decrease in inflation rates typically leads to an increase in the price of fixed income instruments like bonds. Lower inflation increases the real value of the fixed payments received from bonds, making them more attractive to investors and driving up their prices.

The formula to estimate a partial change in an option's price based on the change in the underlying asset's price is primarily dependent on the option's Delta. Delta represents the sensitivity of the option's price to changes in the price of the underlying asset. Therefore, the most straightforward and widely used formula to estimate this partial change is:

Partial change in option price=Δ×Change in underlying pricePartial change in option price=Δ×Change in underlying price

This formula directly utilizes Delta to measure the immediate rate of change in the option's price relative to a small change in the underlying asset's price. The other options involving Gamma are more complex and not typically used for simple partial changes.

Corporate customers use foreign exchange derivatives for several reasons:

To lock in the current value of foreign-denominated receivables (I)

To lock in the current value of foreign-denominated payables (II)

To lock in the value of expected future foreign-denominated receivables (III)

To lock in the value of expected future foreign-denominated payables (IV) These derivatives are used as a hedging mechanism to manage currency risk and provide certainty regarding future cash flows and costs.

Model Definition:Credit scoring models are typically used to grade the creditworthiness of small- and medium-sized enterprises (SMEs).

Application:These models evaluate the credit risk of SMEs by considering various financial and non-financial parameters, providing a systematic and quantitative method to determine credit scores.​

To determine the bank's expected loss, we need to calculate the expected loss given default (LGD) and then use the annual expected default rate to find the total expected loss.

Loan Amount (Exposure at Default, EAD):$100,000

Collateral:$55,000

Net Exposure (EAD - Collateral):$100,000 - $55,000 = $45,000

Loss Given Default (LGD):50% of Net Exposure????????????=50%×$45,000=$22,500LGD=50%×$45,000=$22,500

Annual Expected Default Rate:2%

Expected Loss:Annual Expected Default Rate × LGDExpected Loss=2%×$22,500=0.02×22,500=$450Expected Loss=2%×$22,500=0.02×22,500=$450

Hence, the expected loss due to default is $450, but we need to find the total expected loss including the interest, which is typically considered the exposure part.

Total expected loss is primarily focusing on the loan risk and the direct calculation of LGD × Default Rate.

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

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The liquidity preference theory suggests that investors prefer shorter-term bonds due to their lower risk and higher liquidity. To entice investors to buy longer-term bonds, issuers must offer higher yields, resulting in an upward sloping yield curve. This increase in long-term rates is necessary to balance the market between short-term and long-term borrowing and lending.

Rho is a measure of the sensitivity of an option's price to changes in interest rates. If rho is positive, it means that the price of the option will increase when interest rates rise. This is because higher interest rates generally increase the cost of carry, which can make holding the underlying asset more expensive and thus increase the value of the option.