Become GARP Certified with updated FRM-Part-1 exam questions and correct answers
An analyst is choosing between two machine learning models. Which of the following datasets will the analyst most likely use to make the determination of which model to select?
The board of directors of a growing asset management company is conducting a review of the firm’s approach to risk management. The board concludes that the firm should establish an ERM framework. Which of the following represents a key benefit that the firm will likely attain after establishing an ERM framework?
Bonds rated B have a 25% chance of default in five years. Bonds rated CCC have a 40% chance of default in five years. A portfolio consists of 30% B and 70% CCC-rated bonds. If a randomly selected bond defaults in a five-year period, what is the probability that it was a Brated bond?
Which of the following liquidity de nitions is most likely associated with funding liquidity?
A risk manager at a bank is measuring the sensitivity of a bond portfolio to non-parallel shifts in spot rates. The portfolio currently holds a 4-year zero coupon bond and a 7-year zero coupon bond with the following sensitivities to these respective spot rates:Spot rate AND Change in portfolio value for 1-bp increase in spot rate (AUD)4-year -189.277-year -302.45To model the non-parallel movement of the spot rate curve, the manager treats the 2-year, 5-year, and 10-year spot rates as key rates. Given this information, what is the portfolio’s key rate 01 (KR01) for a 1-bp increase in the 5-year rate?
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