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Exam II: Mathematical Foundations of Risk Measurement - 2015 Edition Question and Answers

Exam II: Mathematical Foundations of Risk Measurement - 2015 Edition

Last Update May 1, 2024
Total Questions : 132

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Questions 1

When calculating the implied volatility from an option price we use the bisection method and know initially that the volatility is somewhere between 1% and 100%. How many iterations do we need in order to determine the implied volatility with accuracy of 0.1%?

Options:

A.  

10

B.  

100

C.  

25

D.  

5

Discussion 0
Questions 2

The gradient of a function f(x, y, z) = x + y2 - x y z at the point x = y = z = 1 is

Options:

A.  

(0, 2, 1)

B.  

(0, 0, 0)

C.  

(1, 1, 1)

D.  

(0, 1, -1)

Discussion 0
Questions 3

The natural logarithm of x is:

Options:

A.  

the inverse function of exp(x)

B.  

log(e)

C.  

always greater than x, for x>0

D.  

46

Discussion 0
Questions 4

Which of the following statements about skewness of an empirical probability distribution are correct?

1. When sampling returns from a time series of asset prices, discretely compounded returns exhibit higher skewness than continuously compounded returns

2. When the mean is significantly less than the median, this is an indication of negative skewness

3. Skewness is a sign of asymmetry in the dispersion of the data

Options:

A.  

All three statements are correct

B.  

Statements 1 and 2 are correct

C.  

Statements 1 and 3 are correct

D.  

Statements 2 and 3 are correct

Discussion 0
Questions 5

Let N(.) denote the cumulative distribution function and suppose that X and Y are standard normally distributed and uncorrelated. Using the fact that N(1.96)=0.975, the probability that X ≤ 0 and Y ≤ 1.96 is approximately

Options:

A.  

0.25%

B.  

0.488%

C.  

0.49%

D.  

0.495%

Discussion 0
Questions 6

Which of the following can induce a 'multicollinearity' problem in a regression model?

Options:

A.  

A large negative correlation between the dependent variable and one of the explanatory variables

B.  

A high positive correlation between the dependent variable and one of the explanatory variables

C.  

A high positive correlation between two explanatory variables

D.  

The omission of a relevant explanatory variable

Discussion 0
Questions 7

At what point x does the function f(x) = x3 - 4x2 + 1 have a local minimum?

Options:

A.  

-0.666666667

B.  

0

C.  

2.66667

D.  

2

Discussion 0
Questions 8

You are investigating the relationship between weather and stock market performance. To do this, you pick 100 stock market locations all over the world. For each location, you collect yesterday's mean temperature and humidity and yesterday's local index return. Performing a regression analysis on this data is an example of…

Options:

A.  

Simple time-series regression

B.  

Multiple time-series regression

C.  

Simple cross-section regression

D.  

Multiple cross-section regression

Discussion 0
Questions 9

Consider the following distribution data for a random variable X: What is the mean and variance of X?

Options:

A.  

3.6 and 7.15

B.  

3.4 and 3.84

C.  

3.5 and 3.45

D.  

None of these

Discussion 0
Questions 10

Newton-Raphson iteration is used to find a solution of x5 - x3 + x = 1. If xn = 2, what is xn+1?

Options:

A.  

2.362

B.  

1.623

C.  

1.638

D.  

0.377

Discussion 0
Questions 11

The Newton-Raphson method

Options:

A.  

is based on finding a middle point between left and right end of the search interval

B.  

is based on Taylor series and uses the first derivative

C.  

can be used for continuous but not differentiable functions

D.  

does provide an error bound along with every iteration

Discussion 0
Questions 12

In a multiple linear regression, the significance of R2 can be tested using which distribution?

Options:

A.  

Normal distribution

B.  

Student's t distribution

C.  

F-distribution

D.  

Binomial distribution

Discussion 0
Questions 13

Let X be a random variable distributed normally with mean 0 and standard deviation 1. What is the expected value of exp(X)?

Options:

A.  

E(exp(X)) = 1.6487

B.  

E(exp(X)) = 1

C.  

E(exp(X)) = 2.7183

D.  

E(exp(X)) = 0.6065

Discussion 0
Questions 14

What is the simplest form of this expression: log2(165/2)

Options:

A.  

10

B.  

32

C.  

5/2 + log2(16)

D.  

log2 (5/2) + log2(16)

Discussion 0
Questions 15

A 2-year bond has a yield of 5% and an annual coupon of 5%. What is the Macaulay Duration of the bond?

Options:

A.  

2

B.  

1.95

C.  

1.86

D.  

1.75

Discussion 0
Questions 16

I have a portfolio of two stocks. The weights are 60% and 40% respectively, the volatilities are both 20%, while the correlation of returns is 50%. The volatility of my portfolio is

Options:

A.  

16%

B.  

17.4%

C.  

20%

D.  

24.4%

Discussion 0
Questions 17

Suppose that f(x) and g(x,y) are functions. What is the partial derivative of f(g(x,y)) with respect to y?

Options:

A.  

f'(g(x,y))

B.  

f(dg/dy)

C.  

f(g(x,y)) dg/dy

D.  

f'(g(x,y)) dg/dy

Discussion 0
Questions 18

Consider two functions f(x) and g(x) with indefinite integrals F(x) and G(x), respectively. The indefinite integral of the product f(x)g(x) is given by

Options:

A.  

F(x)G(x)

B.  

F(x)g(x) + f(x)G(x)

C.  

F(x)g(x) - ∫F(x)g'(x)dx

D.  

f(x)G(x) - ∫F(x)g'(x)dx

Discussion 0
Questions 19

The correlation between two asset returns is 0.5. What is the largest eigenvalue of their correlation matrix?

Options:

A.  

0.5

B.  

1

C.  

1.5

D.  

None of the above

Discussion 0