Final Study Guide pt 2 - Quizzes Flashcards

1
Q

How do you calculate the variance of a Bernoulli random variable?

A

(1 - E(X))^2 * p + (0 - E(X))^2 * (1-p)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

If a distribution is extremely skewed to the right, where will the mean appear in relation to the median?

A

To the right of the median

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

An event has a probability of .02 of occurring.
Given 30 trial, what is the probability that it occurs a least once?

A

1 - Binomial(k = 0, n = 30,p = .02,Cumulative = F)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Out of n trials, what is the probability that an event with probability p happens at least once?

A

1 - nC0 p^0 (1-p)^(n)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Which of these turns a covariance matrix S into a correlation matrix C?

(/s) is side-by-side division. (Also known as element-wise division.)

(v) is a vector of the volatilities.

A

C = S (/s) (v * transpose(v))

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

What is the equation for the variance of a portfolio of assets? w is an n-by-1 vector of asset weights

S is a covariance matrix for the returns of the assets.

A

transpose(w) S w

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What is the explained term in regression?

A

sum square (yhat - ybar)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

If the Duration is 10 and the present value of the bond $200, then if the rates go up 10% from 0%, then you will

A

lose $200

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

If you know the sensitivity, you can get the elasticity by

A

multiplying the sensitivity by y/x

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

SSR = Sum of Squared Residuals
SST = Sum of Squares Total
SSE = Sum of Explained Errors

What is the equation?

A

SST = SSE + SSR

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

When the slope of a curve is zero, where the slope goes from negative, to zero, to positive, the point where the slope is zero is

A

a minimum

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

At times, adjusted R-squared is used instead of R-squared in order

A

To compensate for adding variables to a regression model

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Which of these formulas represents an elastic response of y to x?

  • dx/dy
  • (dx/x)/(dy/y)
  • dy/dx
  • (dy/y)/(dx/x)
A

(dy/y)/(dx/x)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

What is the value of a slope beta when x does not affect y?

A

0

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

What is d/dx 1000?

A

0

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

What is a reasonable way to define Duration for an asset with cash flows CF over times t and a present value function PV?

A

D = Summation(t * PV(CF) / Summation(PV(CF))

17
Q

f’(x) = 0

Therefore

(Be careful here and also do not consider inflection points, as if they don’t exist)

A

f(x) is at a minimum

18
Q

What is d/dx (3x+1)^2?

A

(6)(3x + 1)

19
Q

On a two-tailed test with an alpha of .05, and a normal distribution where the sample data is 3 standard deviations away from the null hypothesis, we should reject the null hypothesis.

A

Yes, reject the null hypothesis

20
Q

When determining whether a distribution is the maximum likelihood, the reason to log the likelihood is because..

A

it handles the mechanical issue of multiplying extremely small numbers

21
Q

What is the likelihood of a data set?

A

The product of the probabilites of each point according to a distribution.

22
Q

ln(A x B x C) equals

A

ln(A) + ln(B) + ln(C)