Weekend Sale - Limited Time 70% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: sntaclus

A bank extends a loan of $1m to a home buyer to buy a house currently worth $1.5m, with the house serving as the collateral. The volatility of returns (assumed normally distributed) on house prices in that neighborhood is assessed at 10% annually. The expected probability of default of the home buyer is 5%.

What is the probability that the bank will recover less than the principal advanced on this loan; assuming the probability of the home buyer's default is independent of the value of the house?

A.

More than 1%

B.

Less than 1%

C.

More than 5%

D.

0

Which of the following statements are correct:

I. A training set is a set of data used to create a model, while a control set is a set of data is used to prove that the model actually works

II. Cleansing, aggregating or ensuring data integrity is a task for the IT department, and is not a risk manager's responsibility

III. Lack of information on the quality of underlying securities and assets was a major cause of the collapse in the CDO markets during the credit crisis that started in 2007

IV. The problem of lack of historical data can be addressed reasonably satisfactorily by using analytical approaches

A.

II and IV

B.

I, III and IV

C.

I and III

D.

All of the above

Which of the following best describes a 'break clause ?

A.

A break clause gives either party to a transaction the right to terminate the transaction at market price at future date(s)

B.

A break clausedetermines the process by which amounts due on early termination will be determined

C.

A break clause describes rights and obligations when the derivative contract is broken

D.

A break clause sets out the conditions under which the transaction will be terminated upon non-compliance with the ISDA MA

Which of the following are ordered correctly in the order of debt seniority in a bankruptcy situation?

I. Equity, Subordinate debt, Senior debt

II. Senior debt, Preferred stock, Equity

III.Secured debt, Accounts payable, Preferred stock

IV. Secured debt, DIP financing, Equity

A.

II and III

B.

I and IV

C.

I

D.

II, III and IV

Which of the following can be used to reduce credit exposures to a counterparty:

I. Netting arrangements

II. Collateral requirements

III. Offsetting tradeswith other counterparties

IV. Credit default swaps

A.

I and II

B.

I, II, III and IV

C.

I, II and IV

D.

III and IV

CreditRisk+, the actuarial model for calculating portfolio credit risk, is based upon:

A.

the exponential distribution

B.

the normal distribution

C.

the Poisson distribution

D.

the log-normal distribution

If a borrower has a default probability of 12% over one year, what is the probability of default over a month?

A.

12.00%

B.

1.00%

C.

2.00%

D.

1.06%

Which of the following statements is true

I. If no loss data is available, good quality scenarios can be used to model operational risk

II. Scenario data can be mixed with observed loss data for modeling severity and frequency estimates

III. Severity estimates should not be created by fitting models to scenario generated loss data points alone

IV. Scenario assessments should only be used as modifiers to ILD or ELD severity models.

A.

I

B.

I and II

C.

III and IV

D.

All statements are true

The risk that a counterparty fails to deliver its obligation upon settlement while having received the leg owed to it is called:

A.

Pre-settlement risk

B.

Credit risk

C.

Replacement risk

D.

Settlement risk

Which of the following best describes the concept of marginalVaR of an asset in a portfolio:

A.

Marginal VaR is the value of the expected losses on occasions where the VaR estimate is exceeded.

B.

Marginal VaR is the contribution of the asset to portfolio VaR in a way that the sum of such calculations for all the assets in the portfolio adds up to the portfolio VaR.

C.

Marginal VaR is the change in the VaR estimate for the portfolio as a result of including the asset in the portfolio.

D.

Marginal VaR describes the change in total VaR resulting from a $1 change in the value of the asset in question.