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Questions # 1:

In statistical hypothesis tests, 'Type I error' refers to the situation in which…

Options:

A.

The null hypothesis is accepted when in fact it should have been rejected

B.

The null hypothesis is rejected when in fact it should have been accepted

C.

Both null hypothesis and alternative hypothesis are rejected

D.

Both null hypothesis and alternative hypothesis are accepted

Questions # 2:

If the annual volatility of returns is 25% what is the variance of the quarterly returns?

Options:

A.

0.1250

B.

0.0156

C.

0.0625

D.

None of the above

Questions # 3:

What is the angle between the following two three dimensional vectors: a=(1,2,3), b=(-4,2,0)?

Options:

A.

90 degrees

B.

180 degrees

C.

57 degrees

D.

45 degrees

Questions # 4:

Consider two securities X and Y with the following 5 annual returns:

X: +10%, +3%, -2%, +3%, +5%

Y: +7%, -2%, +3%, -5%, +10%

In this case the sample covariance between the two time series can be calculated as:

Options:

A.

0.40729

B.

0.00109

C.

0.00087

D.

0.32583

Questions # 5:

Exploring a regression model for values of the independent variable that have not been observed is most accurately described as…

Options:

A.

Estimation

B.

Regression

C.

Hypothesis testing

D.

Prediction

Questions # 6:

You are given the following regressions of the first difference of the log of a commodity price on the lagged price and of the first difference of the log return on the lagged log return. Each regression is based on 100 data points and figures in square brackets denote the estimated standard errors of the coefficient estimates:

Which of the following hypotheses can be accepted based on these regressions at the 5% confidence level (corresponding to a critical value of the Dickey Fuller test statistic of – 2.89)?

Options:

A.

The commodity prices are stationary

B.

The commodity returns are stationary

C.

The commodity returns are integrated of order 1

D.

None of the above

Questions # 7:

The gradient of a smooth function is

Options:

A.

a vector that shows the direction of fastest change of a function

B.

matrix of second partial derivatives of a function

C.

infinite at a maximum point

D.

a matrix containing the function's second partial derivatives

Questions # 8:

Let f(x) = c for x in [0,4] and 0 for other values of x.

What is the value of the constant c that makes f(x) a probability density function; and what if f(x) = cx for x in [0,4]?

Options:

A.

1/4 and 1/7

B.

1/7 and 1/9

C.

1/4 and 1/6

D.

None of the above

Questions # 9:

What is the total derivative of the function f(x,y) = ln(x+y), where ln() denotes the natural logarithmic function?

Options:

A.

1 / (x+y)

B.

(∆x + ∆y) / (x+y)

C.

-∆x/(x+y) - ∆y/(x+y)

D.

ln(x+y) ∆x + ln(x+y) ∆y

Questions # 10:

If a random variable X has a normal distribution with mean zero and variance 4, approximately what proportion of realizations of X should lie between -4 and +4?

Options:

A.

66.60%

B.

90%

C.

95%

D.

99%

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