Question 36
The Treasury function of a bank typically manages all of the following components EXCEPT:
Question 37
The main building blocks of an operational risk framework include all of the following options EXCEPT:
Question 38
To improve the culture and awareness of the operational risk, Gamma Bank's CRO decides to promote three activities within her organization. Which one of the following four activities is NOT typically used to develop an operational risk framework?
Question 39
A bank customer expecting to pay its Brazilian supplier BRL 100 million asks Alpha Bank to buy Australian
dollars and sell Brazilian reals. Alpha bank does not hold reals so it asks for a quote to buy Brazilian reals in
the market. The market rate is 100. The bank quotes a selling rate of 101 to its customer and sells the reals at
this quoted price. Then the bank immediately buys the real at the market rate and completes foreign exchange
matched transaction. What is the financial impact of this transaction for Alpha bank?
dollars and sell Brazilian reals. Alpha bank does not hold reals so it asks for a quote to buy Brazilian reals in
the market. The market rate is 100. The bank quotes a selling rate of 101 to its customer and sells the reals at
this quoted price. Then the bank immediately buys the real at the market rate and completes foreign exchange
matched transaction. What is the financial impact of this transaction for Alpha bank?
Question 40
A credit portfolio manager analyzes a large retail credit portfolio. Which of the following factors will represent
typical disadvantages of market-linked credit risk drivers?
I. Need to supply a large number of input parameters to the model
II. Slow computation speed due to higher simulation complexity
III. Non-linear nature of the model applicable to a specific type of credit portfolios
IV. Need to estimate a large number of unknown variable and use approximations
typical disadvantages of market-linked credit risk drivers?
I. Need to supply a large number of input parameters to the model
II. Slow computation speed due to higher simulation complexity
III. Non-linear nature of the model applicable to a specific type of credit portfolios
IV. Need to estimate a large number of unknown variable and use approximations
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