2016-FRR Exam Dumps - Financial Risk and Regulation (FRR) Series

The key difference between customer loans and interbank loans is related to creditworthiness and yield. Customers are generally less credit-worthy than banks, leading to higher yields on customer loans compared to interbank loans. This higher yield compensates lenders for the increased risk associated with lending to less credit-worthy borrowers.

Gamma is an important measure in options trading, representing the sensitivity of the delta of the option to changes in the price of the underlying asset. The correct statements about gamma are:

III. Gamma is the second derivative of the value function with respect to the price of the underlying instrument. This means that gamma measures the rate of change of delta (the first derivative) as the price of the underlying asset changes. IV. Gamma is the rate of change of the option delta with respect to changes in the underlying price. This highlights that gamma captures the curvature in the relationship between the option price and the underlying asset price, making it crucial for understanding how the delta will change as the underlying asset price changes.

To determine the frequency score for an event likely to happen once in 2 years:

Frequency score can be calculated as the reciprocal of the event frequency.

For an event likely to happen once in 2 years: Frequency=12Frequency=21​ per year.

Thus, the frequency score = 1.

Consortium databases in the context of operational risk management:

Gather loss data from multiple firms to provide a comprehensive view of industry-wide risk events.

Contain anonymous information to protect the identities of the contributing firms while still providing valuable risk data. They do not gather information from news articles, use data only from the top 5% of the industry, or specifically map risk categories with causes.

Formula for modified duration change:

Change in modified duration = Convexity * Change in yield

Given:

Initial modified duration = 10

Convexity = 0.5

Change in yield = 1%

Calculation:

Change in modified duration = 0.5 * 1% = 0.5

Since the yield increases, the modified duration decreases by 0.5.

References Calculation based on standard formulas for duration and convexity.

Value-at-Risk (VaR) is a statistical measure used to assess the risk of loss on a specific portfolio of financial assets. It estimates the maximum potential loss with a given confidence level over a defined period.

Maximum Likely Loss: VaR calculates the worst expected loss under normal market conditions at a specific confidence level.

Time Period: VaR is assessed over a specified time horizon, such as a day, week, or month.

Confidence Level: VaR is defined at a certain confidence level, typically 95% or 99%. This means there is a 95% (or 99%) probability that the loss will not exceed the VaR estimate.

For instance, a daily VaR of $1 million at a 99% confidence level implies that there is only a 1% chance that the portfolio will lose more than $1 million in a day.

References

How Finance Works.pdf, p. 201 ​

When evaluating a diversified equity portfolio, an endowment asset manager should consider:

Company-specific projected earnings and earnings risk to understand the performance potential and variability of individual assets.

Aggregate earnings expectations to gauge the overall market outlook and economic conditions affecting the portfolio.

Individual asset volatility to assess the risk and potential fluctuations in the value of specific investments within the portfolio.

Market liquidity, while important, is not typically a primary concern for long/short equity strategies focused on diversified portfolios.

From the statistical distribution of bank losses over a future period, several conclusions can be drawn:

I. In most years a bank would look more profitable than it will be on average: This indicates that most years will show better-than-average profitability because the distribution of losses includes infrequent but severe loss events.

II. Most of the time a sufficiently well-capitalized bank will appear over-capitalized: Because banks prepare for rare but significant losses, in normal years, their capital reserves may seem excessive.

III. Bad years do not come along very often, but when they do they lead to enormous losses: This reflects the heavy-tailed nature of the loss distribution, where extreme losses are rare but severe.

All three statements correctly reflect the characteristics of the loss distribution for banks.References: How Finance Works, sections covering statistical analysis of losses and capital adequacy​​.