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8002 Questions and Answers

Question # 6

Let E(X ) = 1, E(Y ) = 3, Corr(X, Y ) = -0.2, E(X2 ) = 10 and E(Y2 ) = 13. Find the covariance between X and Y

A.

-2.8

B.

1.3

C.

-1.2

D.

None of the above

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Question # 7

The Newton-Raphson method

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

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Question # 8

Evaluate the derivative of exp(x2 + 2x + 1) at the point x = -1

A.

0.5

B.

0

C.

1

D.

2

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Question # 9

Identify the type and common element (that is, common ratio or common difference) of the following sequence: 6, 12, 24

A.

arithmetic sequence, common difference 2

B.

arithmetic sequence, common ratio 2

C.

geometric sequence, common ratio 2

D.

geometric sequence, common ratio 3

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Question # 10

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

A.

0.5

B.

1

C.

1.5

D.

None of the above

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Question # 11

The quarterly compounded rate of return is 6% per annum. What is the corresponding effective annual return?

A.

1.50%

B.

6%

C.

6.14%

D.

None of the above

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Question # 12

What is the sum of the first 20 terms of this sequence: 3, 5, 9, 17, 33, 65,…?

A.

1 048 574

B.

1 048 595

C.

2 097 170

D.

2 097 172

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Question # 13

I have $5m to invest in two stocks: 75% of my capital is invested in stock 1 which has price 100 and the rest is invested in stock 2, which has price 125. If the price of stock 1 falls to 90 and the price of stock 2 rises to 150, what is the return on my portfolio?

A.

-2.50%

B.

-5%

C.

2.50%

D.

5%

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Question # 14

Variance reduction is:

A.

A technique that is applied in regression models to improve the accuracy of the coefficient estimates

B.

A numerical method for finding portfolio weights to minimize the variance of a portfolio that has a given expected return

C.

A numerical method for finding the variance of the underlying that is implicit in a market price of an option

D.

A method for reducing the number of simulations required in a Monte Carlo simulation

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Question # 15

An underlying asset price is at 100, its annual volatility is 25% and the risk free interest rate is 5%. A European call option has a strike of 85 and a maturity of 40 days. Its Black-Scholes price is 15.52. The options sensitivities are: delta = 0.98; gamma = 0.006 and vega = 1.55. What is the delta-gamma-vega approximation to the new option price when the underlying asset price changes to 105 and the volatility changes to 28%?

A.

17.33

B.

18.75

C.

19.23

D.

20.54

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Question # 16

The first derivative of a function f(x) is zero at some point, the second derivative is also zero at this point. This means that:

A.

f has necessarily a minimum at this point

B.

f has necessarily a maximum at this point

C.

f has necessarily neither a minimum nor a maximum at this point

D.

f might have either a minimum or a maximum or neither of them at this point

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Question # 17

Suppose 60% of capital is invested in asset 1, with volatility 40% and the rest is invested in asset 2, with volatility 30%. If the two asset returns have a correlation of -0.5, what is the volatility of the portfolio?

A.

36%

B.

36.33%

C.

26.33%

D.

20.78%

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Question # 18

When a number is written with a fraction as an exponent, such as , which of the following is the correct computation?

A.

Take the square-root of 75 and raise it to the 5th power

B.

Divide 75 by 2, then raise it to the 5th power

C.

Multiply 75 by 2.5

D.

Square 75, then take the fifth root of it

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Question # 19

Concerning a standard normal distribution and a Student's t distribution (with more than four degrees of freedom), which of the following is true?

A.

The distributions have the same kurtosis.

B.

The normal distribution has higher kurtosis than the t distribution.

C.

The normal distribution has lower kurtosis than the t distribution.

D.

Which has the higher kurtosis depends on the degrees of freedom of the t distribution.

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