Historically the S&P 500 Stock Index has returned about 8% a year but returns are very uneven as recent experience has reminded us - the INDEX declined by more than 50% from its peak in 2007 and took 7 years to attain that peak level again. This year (2019) the S & P 500 Index has gained about 10% through today’s date after declining almost 10% for last year( 2018). It has since recovered. In contrast a typical Money Market Fund has returned about 2% a year with minimal fluctuation. Given this, evaluate the following:
d) How risky would it be if you planned to use the Money Market fund as the major component of your retirement fund, 40 years from now? Briefly discuss your perception of risk in this decision, given your objective!
Very low Very high
risk ____ ____ ____ ____ ____ ____ ____ risk
1 2 3 4 5 6 7
.
Briefly explain your decision: (2 points)
In: Finance
Do questions E-G
The following table gives information on the amount of sugar (in grams) and the calorie count in one serving of a sample of 8 varieties of Kellogg’s cereal.
Sugar (grams), ? 4 14 12 10 8 6 7 3
Calories, ? 110 140 130 110 120 100 120 190
a. Construct a scatter diagram for these data. Does the scatter diagram exhibit a linear relationship between the amount of sugar and the number of calories per serving? We want to fit a straight-line model to relate calories y to the amount of sugar x. ? = ?0 + ?1 ? + ?
b. Compute: ????, ????, ????, ?̂ 0, ?̂ 1 .
c. Using your answer in part ( b ), find the predictive regression equation of the number of calories on the amount of sugar. Comment on the direction of the relationship. Does the intercept have a useful interpretation here? Explain.
d. Give a practical interpretation of the value of ?̂ 1. Find the estimated standard error of the regression model and provide an interpretation.
e. For the fifth observation, Compute the predicted value ?̂5, the residual ?̂5.
f. Compute standard error of ?̂ 1 . Find a 97 % Confidence interval for ?1
g. Conduct a test to determine whether the two variables, sugar x and calories y, are positively linearly related. Use ? = 0.05.
In: Statistics and Probability
international relations Course
the definitions must both define the term and explain
why it is significant for this course, i.e., why are we studying it
in this course. So standard answers would include two sentences,
with the first sentence defining the term and the second speaking
to why it is significant.
could some one help me with this please.
41. Intergovernmental organization (IGO)
42. International law
43. Bilateral treaty
44. Multilateral treaty
45. North Atlantic Treaty Organization (NATO)
46. North American Free Trade Agreement (NAFTA)
47. The United Nations
48. The European Union
49. Cosmopolitanism
50. Schengen area
51. Eurozone
52. International treaty
53. Immanuel Kant
54. US Carrier Group
55. State of Nature (Hobbesian)
In: Economics
MATLAB NEEDED.
This lab will use functions and arrays. The task within is to Add, Sub, or Multiply 2 Matrix. See Manipulate Matrix doc for the methods. My reference to matrix below is because we are doing matrix math. The matrix are arrays.
Matlab built-in functions not allowed
You will write 3 functions (call those functions): 1. ADD two matrix, 2. SUBTRACT two matrix, and 3. MULTIPLY two matrix.
Requirements:
Using random fill create two different matrix.
NOTE in code example used: b = int16(rand(r,c)*n); int allows signed integers.
% digits 0 to n integers
For this lab we care about signed number so please use int not uint.
Call a function to add these 2 matrix and return the SUM
Using random fill create two different matrix
Call a function to subtract these two matrix and return the DIFFERENCE
and columns of B. (From theory Columns of A are the rows of B)
Using random fill create two different matrix
Call a function to multiply these two matrix and return the PRODUCT
ADD (SUB) MATRIX
C = A + B Requires 2 for loops to move throught the arrays
Equation C(i,j) = A(i,j) + B(i,j) Fundamentally you are adding each element of A to its corresponding element of B and putting the sum into the corresponding element of C
MULTIPLYING MATRICES
There are some strick rules that must be applied.
C = A * B requires that the columns of A must equal the rows of B. C’s dimensions are the Rows of A by the Columns of B.
A(Ar,Ac) B(Br,Bc) C(Cr,Cc) given these dimensions for the three matrices
Rules above require Ac = Br thus the # of columns of A equal the rows of B.
Then Cr = Ar The rows of C must equal the rows of A
Then Cc = Bc The columns of C must equal the columns of B
The equation for filling the Matrix C is:
C(i,j) = ∑Ai,k) *B(k,j)
This notation uses i, j , k:
These 2 for loops fill Matrix C
This is similar to Add and Sub the Answer array must be filled by 2 for loop. This only adds a third for loop to manage the summation. use equation for summation. (∑).
In: Computer Science
Consider the following work breakdown structure: Given a due date of 210 days, what is the earliest you can start activity D without delaying the project?
|
Time Estimates (days) |
||||||||||
|
Activity |
Precedes |
Optimistic |
Most Likely |
Pessimistic |
||||||
|
Start |
A,B |
- |
- |
- |
||||||
|
A |
C,D |
44 |
50 |
56 |
||||||
|
B |
D |
45 |
60 |
75 |
||||||
|
C |
E |
42 |
45 |
48 |
||||||
|
D |
F |
31 |
40 |
49 |
||||||
|
E |
F |
27 |
36 |
39 |
||||||
|
F |
End |
58 |
70 |
82 |
||||||
|
50 |
||
|
60 |
||
|
70 |
||
|
100 |
||
|
140 |
In: Operations Management
Benefits of diversification.
Sally Rogers has decided to invest her wealth equally across the following three assets.
a. What are her expected returns and the risk from her investment in the three assets? How do they compare with investing in asset M alone?
Hint: Find the standard deviations of asset M and of the portfolio equally invested in assets M, N, and O.
b. Could Sally reduce her total risk even more by using assets M and N only, assets M and O only, or assets N and O only? Use a 50/50 split between the asset pairs, and find the standard deviation of each asset pair.
______________________________________________________________________
using the table below:
|
States |
Probability |
Asset M Return |
Asset N Return |
Asset O Return |
||||||
|
Boom |
28% |
11% |
21% |
−1% |
||||||
|
Normal |
49% |
8% |
13% |
8% |
||||||
|
Recession |
23% |
−1% |
11% |
11% |
||||||
a.
What is the expected return of investing equally in all three assets M, N, and O? (Round to two decimal places.)
What is the expected return of investing in asset M alone? (Round to two decimal places.)
What is the standard deviation of the portfolio that invests equally in all three assets M, N, and O? (Round to two decimal places.)
What is the standard deviation of asset M? (Round to two decimal places.)
By investing in the portfolio that invests equally in all three assets M, N, and O rather than asset M alone, Sally can benefit by increasing her return by ______ and decrease her risk by _________ ? (Round to two decimal places.)
b.
What is the expected return of a portfolio of 50% asset M and 50% asset N? (Round to two decimal places.)
What is the expected return of a portfolio of 50% asset M and 50% asset O? (Round to two decimal places.)
What is the expected return of a portfolio of 50% asset N and 50% asset O? (Round to two decimal places.)
What is the standard deviation of a portfolio of 50% asset M and 50% asset N? (Round to two decimal places.)
What is the standard deviation of a portfolio of 50% asset M and 50% asset O? (Round to two decimal places.)
What is the standard deviation of a portfolio of 50% asset N and 50% asset O? (Round to two decimal places.)
c.
Could Sally reduce her total risk even more by using assets M and N only, assets M and O only, or assets N and O only? (Select the best response.)
a. not enough info to answer question
b. yes, a portfolio of 50% of asset M and 50% of asset O, could reduce risk to 1.5%
c. no, none of the portfolios using 50-50 split reduce risk
d. yes, a portfolio of 50% of asset M and 50% of asset N, could reduce risk to 1.5%
In: Finance
The accompanying table lists a random selection of usual travel times to school, in minutes, for 40 secondary school students in country A. A second selection of usual travel times to school, in minutes, was randomly selected for 40 students in country B. Complete parts a) and b).
Sample Country A Sample Country B
45 29
5 10
4 9
14 30
50 5
21 8
21 7
19 15
21 10
21 36
24 16
36 10
14 24
29 22
19 20
11 26
45 29
10 10
2 25
60 7
24 15
19 19
5 25
16 15
5 10
15 26
18 5
30 2
40 4
20 25
11 20
30 14
10 48
14 21
20 20
10 12
14 19
16 5
10 14
24 11
Calculate the test statistic.
t = _ ?
(Round to two decimal places as needed.)
Calculate the degrees of freedom.
df = _ ?
Determine the P-value.
P-value = _ ?
(Round to four decimal places as needed.)
Make a conclusion.
Comparing the P-value to the level of significance, a = 0.05, the decision is to (reject/fail to reject) the null hypothesis. There (is/is not) sufficient evidence to conclude that students' travel times in each country are (same/different).
Construct a 95% confidence interval for(μ1−μ2).
( _ , _ )
b) Are your P-value and confidence level in part a) trustworthy?
yes or no
In: Statistics and Probability
In: Economics
An investor obtains the following information:
• Stock price today = $120
• Stock price one year from today can take two values: $110 or $130
• Exercise price = $120
• Risk free interest rate = 5% per annum
What should be the price of a put option on the given stock under these conditions (use discrete discounting)?
In: Finance
What is the F statistic to test for a difference in mean THC yield between the control and heat-treated seeds?
| PlotID | Column | Treat | THC |
| 1 | 1 | Control | 13.5 |
| 2 | 2 | Control | 18.7 |
| 3 | 3 | Control | 16 |
| 4 | 4 | Control | 19 |
| 5 | 5 | Heat | 22 |
| 6 | 6 | Heat | 23.8 |
| 7 | 7 | Heat | 25.2 |
| 8 | 8 | Heat | 24.6 |
| 9 | 1 | Control | 14.5 |
| 10 | 2 | Control | 15.1 |
| 11 | 3 | Control | 16.4 |
| 12 | 4 | Control | 21.6 |
| 13 | 5 | Heat | 26.7 |
| 14 | 6 | Heat | 24 |
| 15 | 7 | Heat | 26.4 |
| 16 | 8 | Heat | 24.8 |
| 17 | 1 | Control | 16.3 |
| 18 | 2 | Control | 18.7 |
| 19 | 3 | Control | 20.5 |
| 20 | 4 | Control | 17.3 |
| 21 | 5 | Heat | 22.1 |
| 22 | 6 | Heat | 23.8 |
| 23 | 7 | Heat | 21.5 |
| 24 | 8 | Heat | 24.3 |
| 25 | 1 | Control | 14.8 |
| 26 | 2 | Control | 15.2 |
| 27 | 3 | Control | 22.7 |
| 28 | 4 | Control | 20.3 |
| 29 | 5 | Heat | 23.4 |
| 30 | 6 | Heat | 23.3 |
| 31 | 7 | Heat | 27 |
| 32 | 8 | Heat | 25 |
| 33 | 1 | Control | 18.1 |
| 34 | 2 | Control | 17.2 |
| 35 | 3 | Control | 17.2 |
| 36 | 4 | Control | 18.3 |
| 37 | 5 | Heat | 20 |
| 38 | 6 | Heat | 23.7 |
| 39 | 7 | Heat | 23.6 |
| 40 | 8 | Heat | 28.3 |
| 41 | 1 | Control | 19.4 |
| 42 | 2 | Control | 14.7 |
| 43 | 3 | Control | 17.7 |
| 44 | 4 | Control | 16.9 |
| 45 | 5 | Heat | 22.9 |
| 46 | 6 | Heat | 20.6 |
| 47 | 7 | Heat | 23 |
| 48 | 8 | Heat | 25.5 |
In: Statistics and Probability