Free GARP FRM-Part-2 Exam Questions

A newly hired risk analyst at a large investment bank is examining how financial correlation risk affects the bank’s portfolios. The bank holds portfolios consisting of different types of assets and enters into various hedging contracts with multiple counterparties. Which of the following statements would the analyst be correct to make?

Three and a half months ago, XYZ Manufacturing lost their single largest customer, and the company stopped service of all debt payments to ABC Bank. The bank has seized some collateral, but they are working with XYZ as they form plans to find new customers and build a better future. For now, the loans to XYZ Manufacturing should most likely be classified as:

Time steps that enter into the calculation of the number of days in the margin period of risk include all of the following except:

Imagine you are a risk manager at a mid-sized commercial bank that has experienced rapid growth over the past three years. Your bank, similar to Silicon Valley Bank (SVB), has asignificant reliance on uninsured deposits and a concentrated customer base. Given the recentfailure of SVB, primarily attributed to liquidity risk management deficiencies, your CEO hastasked you with reviewing and strengthening the bank’s liquidity risk management framework.Your review reveals several areas that mirror SVB’s situation, particularly concerning internalliquidity stress testing (ILST), the modeling of a 30-day liquidity buffer, and management'sresponsiveness to liquidity challenges. Based on the lessons learned from SVB's failure, which ofthe following actions should you prioritize to improve your bank’s liquidity risk management?

As part of a broader assessment of migration risk, a risk analyst at a rating agency examines the observed defaults of a given rating class of corporate issuers. The rating class contained 348 names (number of issuers) at the end of 2016, which was the time of origination. The number of issuers that have not defaulted over the past 3 years is shown in the table below:Year AND Number of non-defaulted names at end of year2016: 3482017: 3392018: 3332019: 329Assuming no new issuers were added to the rating class throughout the holding period, what is the estimate of the 1-year marginal probability of default in the year 2019?