Question 1

Which of the following is true?

Accepted Answer

A)  The quadratic model approximates daily changes in using delta and gamma 
B)  The quadratic model approximates daily changes using delta, but not gamma 
C)  The quadratic model approximates daily changes using gamma, but not delta 
D)  None of the above 
A)  The quadratic model approximates daily changes in using delta and gamma 
B)  The quadratic model approximates daily changes using delta, but not gamma 
C)  The quadratic model approximates daily changes using gamma, but not delta 
D)  None of the above A

Question 2

Which of the following is true?

Accepted Answer

A)  Cash flow mapping is a way of calculating the present value of cash flows 
B)  Cash flow mapping is used to handle interest rate exposures in the model building approach 
C)  Cash flow mapping is used to handle interest rate exposures in the historical simulation approach 
D)  None of the above 
A)  Cash flow mapping is a way of calculating the present value of cash flows 
B)  Cash flow mapping is used to handle interest rate exposures in the model building approach 
C)  Cash flow mapping is used to handle interest rate exposures in the historical simulation approach 
D)  None of the above B

Question 3

The gain from a project is equally likely to have any value between -$0.15 million and +$0.85 million. What is the 99% value at risk?

Accepted Answer

A)  $0.145 million 
B)  $0.14 million 
C)  $0.13 million 
D)  $0.10 million 
A)  $0.145 million 
B)  $0.14 million 
C)  $0.13 million 
D)  $0.10 million B

Question 4

Which of the following is a definition of the covariance between X and Y?

Accepted Answer

A)  Correlation between X and Y times variance of X times variance of Y 
B)  Variance of X times the variance of Y 
C)  Correlation between X and Y divided by the product of the standard deviation of X and the standard deviation of Y 
D)  Correlation between X and Y times standard deviation of X times standard deviation of Y 
A)  Correlation between X and Y times variance of X times variance of Y 
B)  Variance of X times the variance of Y 
C)  Correlation between X and Y divided by the product of the standard deviation of X and the standard deviation of Y 
D)  Correlation between X and Y times standard deviation of X times standard deviation of Y

Question 5

At the end of Thursday, the estimated covariance between assets A and B is 0.0001. During Friday asset A produces a return of 3% and asset B produces a return of zero. An EWMA model with lambda equal to 0.9 is used. What is an estimate of the covariance at the end of Friday?

Accepted Answer

A)  0.000090 
B)  0.000081 
C)  0.000100 
D)  0.000095 
A)  0.000090 
B)  0.000081 
C)  0.000100 
D)  0.000095

Question 6

What is the method of testing how often a VaR with a certain confidence level was exceeded in the past called?

Accepted Answer

A)  Stress testing 
B)  Backtesting 
C)  EWMA 
D)  The model-building approach 
A)  Stress testing 
B)  Backtesting 
C)  EWMA 
D)  The model-building approach

Question 7

An investor has $2,000 invested in stock A and $5,000 in stock B. The daily volatilities of A and B are 1.5% and 1% respectively and the coefficient of correlation is 0.8. What is the one day 99% VaR? (Note that N(-2.33)=0.01)

Accepted Answer

A)  $177 
B)  $135 
C)  $215 
D)  $331 
A)  $177 
B)  $135 
C)  $215 
D)  $331

Question 8

What does EWMA stand for?

Accepted Answer

A)  Equally weighted moving average 
B)  Equally weighted median approximation 
C)  Exponentially weighted moving average 
D)  Exponentially weighted median average 
A)  Equally weighted moving average 
B)  Equally weighted median approximation 
C)  Exponentially weighted moving average 
D)  Exponentially weighted median average

Question 9

The gain from a project is equally likely to have any value between -$0.15 million and +$0.85 million. What is the 99% expected shortfall?

Accepted Answer

A)  $0.145 million 
B)  $0.14 million 
C)  $0.13 million 
D)  $0.10 million 
A)  $0.145 million 
B)  $0.14 million 
C)  $0.13 million 
D)  $0.10 million

Question 10

At the end of Thursday, the estimated volatility of asset A is 2% per day. During Friday asset A produces a return of 3%. An EWMA model with lambda equal to 0.9 is used. What is an estimate of the volatility of asset A at the end of Friday?

Accepted Answer

A)  2.08% 
B)  2.10% 
C)  2.12% 
D)  2.14% 
A)  2.08% 
B)  2.10% 
C)  2.12% 
D)  2.14%

Question 11

Which of the following is true of a covariance matrix?

Accepted Answer

A)  The numbers on the diagonal are variances 
B)  The numbers on the diagonal are standard deviations 
C)  The numbers on the diagonal are all one 
D)  The numbers on the diagonal are all zero 
A)  The numbers on the diagonal are variances 
B)  The numbers on the diagonal are standard deviations 
C)  The numbers on the diagonal are all one 
D)  The numbers on the diagonal are all zero

Question 12

Which of the following describes stressed VaR?

Accepted Answer

A)  It is based on movements in market variables in stressed market conditions 
B)  It is VaR with a very high confidence level 
C)  It is VaR multiplied by a factor of 3 
D)  None of the above 
A)  It is based on movements in market variables in stressed market conditions 
B)  It is VaR with a very high confidence level 
C)  It is VaR multiplied by a factor of 3 
D)  None of the above

Question 13

Which of the following is true of the historical simulation method for calculating VaR?

Accepted Answer

A)  It fits historical data on the behavior of variables to a normal distribution 
B)  It fits historical data on the behavior of variables to a lognormal distribution 
C)  It assumes that what will happen in the future is a random sample from what has happened in the past 
D)  It uses Monte Carlo simulation to create random future scenarios 
A)  It fits historical data on the behavior of variables to a normal distribution 
B)  It fits historical data on the behavior of variables to a lognormal distribution 
C)  It assumes that what will happen in the future is a random sample from what has happened in the past 
D)  It uses Monte Carlo simulation to create random future scenarios

Question 14

If the volatility for a portfolio is 20% per year, what is the volatility per quarter?

Accepted Answer

A)  20% 
B)  10% 
C)  5% 
D)  2% 
A)  20% 
B)  10% 
C)  5% 
D)  2%

Question 15

At the end of Thursday, the estimated volatility of asset B is 1% per day. During Friday asset B produces a return of zero. An EWMA model with lambda equal to 0.9 is used. What is an estimate of the volatility of asset A at the end of Friday?

Accepted Answer

A)  0.98% 
B)  0.95% 
C)  0.92% 
D)  0.90% 
A)  0.98% 
B)  0.95% 
C)  0.92% 
D)  0.90%

Question 16

The 10-day VaR is often assumed to be which of the following?

Accepted Answer

A)  The 1-day VaR multiplied by 10 
B)  The 1-day VaR multiplied by the square root of 10 
C)  The 1-day VaR divided by 10 
D)  The 1-day VaR divided by the square root of 10 
A)  The 1-day VaR multiplied by 10 
B)  The 1-day VaR multiplied by the square root of 10 
C)  The 1-day VaR divided by 10 
D)  The 1-day VaR divided by the square root of 10

Question 17

Which of the following is true when delta, but not gamma, is used in calculating VaR for option positions?

Accepted Answer

A)  VaR for a long call is too low and VaR for a long put is too low 
B)  VaR for a long call is too low and VaR for a long put is too high 
C)  VaR for a long call is too high and VaR for a long put is too low 
D)  VaR for a long call is too high and VaR for a long put is too high 
A)  VaR for a long call is too low and VaR for a long put is too low 
B)  VaR for a long call is too low and VaR for a long put is too high 
C)  VaR for a long call is too high and VaR for a long put is too low 
D)  VaR for a long call is too high and VaR for a long put is too high

Question 18

Which of the following is true of the 99.9% value at risk?

Accepted Answer

A)  There is 1 chance in 10 that the loss will be greater than the value of risk 
B)  There is 1 chance in 100 that the loss will be greater than the value of risk 
C)  There is 1 chance in 1000 that the loss will be greater than the value of risk 
D)  None of the above 
A)  There is 1 chance in 10 that the loss will be greater than the value of risk 
B)  There is 1 chance in 100 that the loss will be greater than the value of risk 
C)  There is 1 chance in 1000 that the loss will be greater than the value of risk 
D)  None of the above

Question 19

Which was the minimum capital requirement for market risk in the 1996 BIS Amendment?

Accepted Answer

A)  At least 3 times the 10-day VaR with a 99% confidence level 
B)  At least 3 times 7-day VaR with a 97% confidence level 
C)  At least 2 times 5-day VaR with a 95% confidence level 
D)  1-day VaR with a 99% confidence level 
A)  At least 3 times the 10-day VaR with a 99% confidence level 
B)  At least 3 times 7-day VaR with a 97% confidence level 
C)  At least 2 times 5-day VaR with a 95% confidence level 
D)  1-day VaR with a 99% confidence level

Question 20

Which of the following is true when lambda equals 0.95?

Accepted Answer

A)  The weight given to the most recent observation is 0.95 
B)  The weight given to the observation one day ago is 95% of the weight given to the observation two days ago 
C)  The weights given to observations add up to 0.95 
D)  The weights given to the observation two days ago is 95% of the weight given to the observation one day ago 
A)  The weight given to the most recent observation is 0.95 
B)  The weight given to the observation one day ago is 95% of the weight given to the observation two days ago 
C)  The weights given to observations add up to 0.95 
D)  The weights given to the observation two days ago is 95% of the weight given to the observation one day ago

Exam 20: Value at Risk

Which of the following is true?

Which of the following is true?

The gain from a project is equally likely to have any value between -$0.15 million and +$0.85 million. What is the 99% value at risk?

Which of the following is a definition of the covariance between X and Y?

At the end of Thursday, the estimated covariance between assets A and B is 0.0001. During Friday asset A produces a return of 3% and asset B produces a return of zero. An EWMA model with lambda equal to 0.9 is used. What is an estimate of the covariance at the end of Friday?

What is the method of testing how often a VaR with a certain confidence level was exceeded in the past called?

An investor has $2,000 invested in stock A and $5,000 in stock B. The daily volatilities of A and B are 1.5% and 1% respectively and the coefficient of correlation is 0.8. What is the one day 99% VaR? (Note that N(-2.33)=0.01)

What does EWMA stand for?

The gain from a project is equally likely to have any value between -$0.15 million and +$0.85 million. What is the 99% expected shortfall?

At the end of Thursday, the estimated volatility of asset A is 2% per day. During Friday asset A produces a return of 3%. An EWMA model with lambda equal to 0.9 is used. What is an estimate of the volatility of asset A at the end of Friday?

Which of the following is true of a covariance matrix?

Which of the following describes stressed VaR?

Which of the following is true of the historical simulation method for calculating VaR?

If the volatility for a portfolio is 20% per year, what is the volatility per quarter?

At the end of Thursday, the estimated volatility of asset B is 1% per day. During Friday asset B produces a return of zero. An EWMA model with lambda equal to 0.9 is used. What is an estimate of the volatility of asset A at the end of Friday?

The 10-day VaR is often assumed to be which of the following?

Which of the following is true when delta, but not gamma, is used in calculating VaR for option positions?

Which of the following is true of the 99.9% value at risk?

Which was the minimum capital requirement for market risk in the 1996 BIS Amendment?

Which of the following is true when lambda equals 0.95?

Introduction

Mechanics of Futures Markets

Hedging Strategies Using Futures

Interest Rates

Determination of Forward and Futures Prices

Interest Rate Futures

Swaps

Securitization and the Credit Crisis of 2007

Mechanics of Options Markets

Properties of Stock Options

Trading Strategies Involving Options

Introduction to Binomial Trees

Valuing Stock Options: the Bsm Model

Employee Stock Options

Options on Stock Indices and Currencies

Futures Options

The Greek Letters

Binomial Trees in Practice

Volatility Smiles

Interest Rate Options

Exotic Options and Other Nonstandard Products

Credit Derivatives

Weather, Energy, and Insurance Derivatives

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