|
Year |
Gold_Price |
CPI |
NYSE |
|
|
1975 |
139.29 |
24.68 |
503.73 |
|
|
1976 |
133.77 |
26.1 |
612.01 |
|
|
1977 |
161.1 |
27.79 |
555.12 |
|
|
1978 |
208.1 |
29.92 |
566.96 |
|
|
1979 |
459 |
33.28 |
655.04 |
|
|
1980 |
594.9 |
37.79 |
823.27 |
|
|
1981 |
400 |
41.7 |
751.91 |
|
|
1982 |
447 |
44.25 |
856.79 |
|
|
1983 |
380 |
45.68 |
1006.41 |
|
|
1984 |
308 |
47.64 |
1019.11 |
|
|
1985 |
327 |
49.33 |
1285.66 |
|
|
1986 |
390.9 |
50.27 |
1465.31 |
|
|
1987 |
486.5 |
52.11 |
1461.61 |
|
|
1988 |
410.15 |
54.23 |
1652.25 |
|
|
1989 |
401 |
56.85 |
2062.31 |
|
|
1990 |
386.2 |
59.92 |
1908.45 |
|
|
1991 |
353.15 |
62.46 |
2426.04 |
|
|
1992 |
333 |
64.35 |
2539.32 |
|
|
1993 |
391.75 |
66.25 |
2739.44 |
|
|
1994 |
383.25 |
67.98 |
2653.37 |
|
|
1995 |
387 |
69.88 |
3484.15 |
|
|
1996 |
369 |
71.93 |
4148.07 |
|
|
1997 |
287.05 |
73.61 |
5405.19 |
|
|
1998 |
288.7 |
74.76 |
6299.93 |
|
|
1999 |
290.25 |
76.39 |
6876.11 |
|
|
2000 |
272.65 |
78.97 |
6945.57 |
|
|
2001 |
276.5 |
81.2 |
6236.39 |
|
|
2002 |
342.75 |
82.49 |
5000.01 |
|
|
2003 |
417.25 |
84.36 |
6440.31 |
|
|
2004 |
435.6 |
86.62 |
7250.06 |
|
|
2005 |
513 |
89.56 |
7753.95 |
|
|
2006 |
635.7 |
92.45 |
9139.02 |
|
|
2007 |
836.5 |
95.09 |
9740.32 |
|
|
2008 |
869.75 |
98.74 |
5757.05 |
|
|
2009 |
1087.5 |
98.39 |
7184.96 |
|
|
2010 |
1420.25 |
100 |
7964.02 |
|
|
2011 |
1531 |
103.16 |
7477.03 |
|
|
2012 |
1664 |
105.29 |
8443.51 |
|
|
2013 |
1204.5 |
106.83 |
10400.33 |
|
|
2014 |
1199.25 |
108.57 |
10839.24 |
|
|
2015 |
1060 |
108.7 |
10143.42 |
Use the data in Table 3.7 to estimate the two equations given previously, and use the output to answer the questions below related to each equation,
From the first equation
1. Goldpricet=β1+β2CPIt+ut
β1= Answer (2 decimals)
β2= Answer (2 decimals)
r2= Answer (4 decimals)
SSR= Answer (0 decimals)
From the second equation,
2. NYSEindext=β1+β2CPIt+ut
β1= Answer (2 decimals)
β2= Answer (2 decimals)
r2= Answer (4 decimals)
SST= Answer (0 decimals
In: Economics
Recently, fixed mortgage rates have been at historical lows due to the housing slowdown. The data table linked below shows the 30-year fixed average mortgage rate for the month of December every year between 1987 and 2010. Use these data to complete parts a through e below.
Year Rate_(%)
1987 10.76
1988 10.82
1989 9.87
1990 9.63
1991 8.55
1992 8.24
1993 7.06
1994 7.49
1995 7.02
1996 7.2
1997 6.67
1998 6.39
1999 7.53
2000 7.57
2001 6.52
2002 6.34
2003 6.49
2004 6.29
2005 6.64
2006 6.48
2007 6.29
2008 5.44
2009 5.22
2010 5.01
k=1 k=1
k=2 k=2 k=3 k=3
n d L d U d L d
U d L d U
15 1.08 1.36 0.95
1.54 0.82 1.75
16 1.10 1.37 0.98
1.54 0.86 1.73
17 1.13 1.38 1.02
1.54 0.90 1.71
18 1.16 1.39 1.05
1.53 0.93 1.69
19 1.18 1.40 1.08
1.53 0.97 1.68
20 1.20 1.41 1.10
1.54 1.00 1.68
21 1.22 1.42 1.13
1.54 1.03 1.67
22 1.24 1.43 1.15
1.54 1.05 1.66
23 1.26 1.44 1.17
1.54 1.08 1.66
24 1.27 1.45 1.19
1.55 1.10 1.66
25 1.29 1.45 1.21
1.55 1.12 1.66
a. Forecast the average December mortgage rate in 2011 using a trend projection.
(Round to two decimal places as needed.)
b. Calculate the MAD for this forecast.
(Round to two decimal places as needed.)
c. Determine the Durbin-Watson statistic.
(Round to two decimal places as needed.)
d. Identify the critical values.
dL=
dU=
(Round to two decimal places as needed.)
In: Statistics and Probability
The following table contains the historic returns from a
portfolio consisting of large stocks and a portfolio consisting of
long-term Treasury bonds over the last 20 years. T-bills returns
represent risk-free returns. Analyze the risk-return trade-off that
would have characterized these portfolios. The following dataset is
also available in Excel format in Module 3 Resources on Canvas.
Returns in the dataset are in percents. For example, 31.33 means
31.33% per year.
| Year | Large Stock | Long-Term T-Bonds |
T-Bills |
| 1997 | 31.33 | 11.312 | 5.26 |
| 1998 | 24.27 | 13.094 | 4.86 |
| 1999 | 24.89 | -8.4734 | 4.68 |
| 2000 | -10.82 | 14.4891 | 5.89 |
| 2001 | -11.00 | 4.0302 | 3.78 |
| 2002 | -21.28 | 14.6641 | 1.63 |
| 2003 | 31.76 | 1.2778 | 1.02 |
| 2004 | 11.89 | 5.1862 | 1.20 |
| 2005 | 6.17 | 3.1030 | 2.96 |
| 2006 | 15.37 | 2.2713 | 4.79 |
| 2007 | 5.50 | 9.6431 | 4.67 |
| 2008 | -36.92 | 17.6664 | 1.47 |
| 2009 | 29.15 | -5.8278 | 0.10 |
| 2010 | 17.80 | 7.4457 | 0.12 |
| 2011 | 1.01 | 16.6015 | 0.04 |
| 2012 | 16.07 | 3.5862 | 0.06 |
| 2013 | 35.18 | -6.9025 | 0.03 |
| 2014 | 11.37 | 10.1512 | 0.02 |
| 2015 | -0.19 | 1.0665 | 0.01 |
| 2016 | 13.41 | 0.7039 | 0.19 |
a. Estimate the annual risk premium of large
stocks, and T-bonds?. (Round your answers to 2 decimal
places.)
|
b. Estimate the annual volatility of large stocks
and long-term T-bonds, respectively. (Round your answers to
2 decimal places.)
|
c. Estimate the Sharpe ratio of large stocks and long-term T-bonds, respectively. (Round your answers to 2 decimal places.)
|
d. Now assume that you have always invested half of your wealth in the stock and the other half in the T-bonds. Estimate the Sharpe ratio of your portfolio. (Round your answers to 2 decimal places.)
|
In: Finance
I'm interested in a t-test of looking at the means for the <30 group in comparison to the other age groups. Do I need to run four t tests, one for <30 with each age group? The data below details the percentage of giving by age group for each of the 32 years listed. Thank you!
| Year | <30 | 30-44 | 45-59 | 60-74 | 75+ |
| 1978 | 0.069 | 0.226 | 0.370 | 0.252 | 0.083 |
| 1979 | 0.068 | 0.229 | 0.358 | 0.257 | 0.088 |
| 1980 | 0.068 | 0.233 | 0.348 | 0.259 | 0.092 |
| 1981 | 0.069 | 0.238 | 0.340 | 0.258 | 0.094 |
| 1982 | 0.070 | 0.243 | 0.334 | 0.257 | 0.096 |
| 1983 | 0.070 | 0.248 | 0.329 | 0.255 | 0.098 |
| 1984 | 0.070 | 0.251 | 0.325 | 0.254 | 0.100 |
| 1985 | 0.069 | 0.254 | 0.321 | 0.254 | 0.102 |
| 1986 | 0.067 | 0.256 | 0.318 | 0.255 | 0.104 |
| 1987 | 0.066 | 0.258 | 0.316 | 0.255 | 0.105 |
| 1988 | 0.064 | 0.259 | 0.315 | 0.255 | 0.107 |
| 1989 | 0.063 | 0.260 | 0.315 | 0.254 | 0.108 |
| 1990 | 0.061 | 0.261 | 0.315 | 0.253 | 0.110 |
| 1991 | 0.059 | 0.261 | 0.317 | 0.252 | 0.111 |
| 1992 | 0.057 | 0.261 | 0.318 | 0.251 | 0.113 |
| 1993 | 0.055 | 0.260 | 0.320 | 0.251 | 0.115 |
| 1994 | 0.052 | 0.259 | 0.321 | 0.251 | 0.117 |
| 1995 | 0.050 | 0.257 | 0.322 | 0.252 | 0.119 |
| 1996 | 0.047 | 0.255 | 0.322 | 0.254 | 0.122 |
| 1997 | 0.045 | 0.253 | 0.320 | 0.256 | 0.126 |
| 1998 | 0.043 | 0.250 | 0.318 | 0.258 | 0.130 |
| 1999 | 0.041 | 0.248 | 0.316 | 0.261 | 0.135 |
| 2000 | 0.040 | 0.244 | 0.313 | 0.263 | 0.140 |
| 2001 | 0.039 | 0.240 | 0.309 | 0.265 | 0.147 |
| 2002 | 0.038 | 0.236 | 0.305 | 0.267 | 0.154 |
| 2003 | 0.037 | 0.231 | 0.300 | 0.271 | 0.161 |
| 2004 | 0.037 | 0.226 | 0.293 | 0.275 | 0.169 |
| 2005 | 0.036 | 0.220 | 0.287 | 0.279 | 0.178 |
| 2006 | 0.034 | 0.214 | 0.280 | 0.284 | 0.188 |
| 2007 | 0.033 | 0.206 | 0.272 | 0.289 | 0.199 |
| 2008 | 0.032 | 0.197 | 0.266 | 0.295 | 0.211 |
| 2009 | 0.030 | 0.185 | 0.260 | 0.300 | 0.225 |
| 2010 | 0.029 | 0.173 | 0.256 | 0.304 | 0.238 |
In: Statistics and Probability
Prince George Native Friendship Centre The Prince George Native Friendship Centre (PGNFC ) is a social service agency whose mission is to "facilitate individual , family and community growth through the power of friendship .PGNFC has four meeting rooms which can be rented out and used for community events . Their social enterprise is their Gathering Place Hospitality and Catering services , based out of their Smokehouse Kitchen , which operates an employment training program . Offsite catering customers have included Meals on Wheels , a residential shelter , and a soup bus program . Started in 1998 , the Smokehouse Kitchen Training Program provides Aboriginal participants with the practical knowledge , skills , and experience required to acquire entry -level employment in the food industry or to access post -secondary education in a related field . Two dozen participants are trained each year in a full commercial kitchen with a restaurant and catering department that cater events ranging from box lunch drop -off to full -service in-house catering . Participants also receive job placements for work experience . The program provides participants with the necessary information , tools , and support they need when exploring , seeking , securing , or re-entering the food service and hospitality industry . In addition , [their ] participants receive employment assistance services that include career planning , job skills , interest , job leads , and skills development . Over the years the Smokehouse Kitchen Program participant completion rate is averaging around 70 percent . The majority of participants that complete the Smokehouse Kitchen Program go on to employment in the food service industry Question 1 6 points) Identify and explain four ways this organization demonstrates corporate social responsibility that supports participants in their development through this program ?
a) Choose a job you are familiar with Design a new employee onboarding program for that job.
b ) Explain how your program contributes to effective socialization , performance , and employee retention.
c)What are the risks and rewards to employers that provide educational benefits such as tuition reimbursement to their employees ? Are the risks worth the rewards ? Discuss .
In: Operations Management
Honest Tea: Organizational Structure
Honest Tea (U.S.) is a bottled organic tea company based in Bethesda, Maryland. It was founded in 1998 by Seth Goldman and Barry Nalebuff. The company is a wholly owned subsidiary of the Coca-Cola Company. Coca-Cola invested 40% in 2008 and bought the rest of the company in 2011. Honest Tea is known for its organic and fair trade products and is one of the fastest growing private companies.
Honest Tea started off with a handful of employees bringing out five products, three of which are still in the market. As Honest Tea began to grow, it became necessary to have workers specialized in different tasks so that they ultimately function as a single unit. Today the company has over 35 package varieties of not only tea but other beverages as well.
Honest Tea caters to a group of customers that prefer organic or low calorie beverages over other types of beverages. The advantage here is that Honest Tea is able to use skilled specialists to deal with this unique customer base. Honest Tea came into this category of customers as a challenger. The whole process of sourcing material, production, marketing, and sales was different since it catered to a different group of customer.
Honest Tea finds that it must continually adapt to changing circumstances and environments. Initially organic or low calorie tea was the only product, but the firm has expanded to various other beverages. Bringing out new and innovative beverages is something that Honest Tea continues to do. Honest Tea follows a very transparent work culture which has helped them to avoid some of the problems that typical growing organizations face. Honest Tea believes that growth is continuous; the firm should never consider that they have finished achieving what they set out to accomplish.
Describe the role of division of labor and hierarchy ay Honest Tea.
In what ways has business strategy and organizational size impacted Honest Tea. How might this change in the future?
Does Honest Tea have more of an organic or mechanistic structure? How can you tell?
In: Operations Management
FOR1. Open file Nuclear Power. Select data for Canada. Address the following questions.
a. Provide a plot of the data over time in the space below. (2 pts)
[plot here]
b. Choose an appropriate forecasting model and forecast for the next 3 periods (provide forecast in the table below). Explain model selection approach. (8 pts)
|
Period |
Forecast |
|
2007 |
|
|
2008 |
|
|
2009 |
c. Using the same data, forecast the next 3 periods in the time series using the 5-period moving average and indicate the values below. (3 pts)
|
Period |
Forecast |
|
2007 |
|
|
2008 |
|
|
2009 |
d. Using the same data, forecast for the next 3 periods in the time series using the single exponential smoothing technique with a smoothing constant of 0.3 and indicate the values below. (3 pts)
|
Period |
Forecast |
|
2007 |
|
|
2008 |
|
|
2009 |
e. Compare results from models b, c and d. Which forecast model do you recommend to use for the next 3 periods? Justify your recommendation (6 pts)
DATA:
| Nuclear Electric Power Production (Billion KWH) | ||||
| Year | US | Canada | France | |
| 1980 | 251.12 | 35.88 | 63.42 | |
| 1981 | 272.67 | 37.8 | 99.24 | |
| 1982 | 282.77 | 36.17 | 102.63 | |
| 1983 | 293.68 | 46.22 | 135.99 | |
| 1984 | 327.63 | 49.26 | 180.47 | |
| 1985 | 383.69 | 57.1 | 211.19 | |
| 1986 | 414.04 | 67.23 | 239.56 | |
| 1987 | 455.27 | 72.89 | 249.27 | |
| 1988 | 526.97 | 78.18 | 260.29 | |
| 1989 | 529.35 | 75.35 | 288.72 | |
| 1990 | 576.86 | 69.24 | 298.38 | |
| 1991 | 612.57 | 80.68 | 314.77 | |
| 1992 | 618.78 | 76.55 | 321.52 | |
| 1993 | 610.29 | 90.08 | 349.78 | |
| 1994 | 640.44 | 102.44 | 341.98 | |
| 1995 | 673.4 | 92.95 | 358.37 | |
| 1996 | 674.73 | 88.13 | 377.47 | |
| 1997 | 628.64 | 77.86 | 375.71 | |
| 1998 | 673.7 | 67.74 | 368.59 | |
| 1999 | 728.25 | 69.82 | 374.53 | |
| 2000 | 753.89 | 69.16 | 394.4 | |
| 2001 | 768.83 | 72.86 | 400.02 | |
| 2002 | 780.06 | 71.75 | 414.92 | |
| 2003 | 763.73 | 71.15 | 419.02 | |
| 2004 | 788.53 | 85.87 | 425.83 | |
| 2005 | 781.99 | 87.44 | 428.95 | |
| 2006 | 787.22 | 93.07 | 427.68 | |
In: Operations Management
In C# please and thanks so much,
Create an Employee class with five fields: first name, last name, workID, yearStartedWked, and initSalary. It includes constructor(s) and properties to initialize values for all fields.
Create an interface, SalaryCalculate, class that includes two functions: first,CalcYearWorked() function, it takes one parameter (currentyear) and calculates the number of year the worker has been working. The second function, CalcCurSalary() function that calculates the current year salary.
Create a Worker classes that is derived from Employee and SalaryCalculate class.
Create a Manager class that is derived from Worker class.
Write an application that reads the workers and managers information from files (“worker.txt” and “manager.txt”) and then creates the dynamic arrays of objects. Prompt the user for current year and display the workers’ and managers’ current information in separate groups: first and last name, ID, the year he/she has been working, and current salary.
Please make streamreader read text from file and the new line so that the text files stay original.
TEXT FILES:
worker.txt
Hector
Alcoser
A001231
1999
24000
Anna
Alaniz
A001232
2001
34000
Lydia
Bean
A001233
2002
30000
Jorge
Botello
A001234
2005
40000
Pablo
Gonzalez
A001235
2007
35000
manager.txt
Sam
Reza
M000411
1995
51000
2005
Jose
Perez
M000412
1998
55000
2002
Rachel
Pena
M000413
2000
48000
2010
In: Computer Science
Language is C# (i've got some code but it seems to not run correctly, would love a new take)
Create an Employee class with five fields: first name, last name, workID, yearStartedWked, and initSalary. It includes constructor(s) and properties to initialize values for all fields. Create an interface, SalaryCalculate, class that includes two functions: first,CalcYearWorked() function, it takes one parameter (currentyear) and calculates the number of year the worker has been working. The second function, CalcCurSalary() function that calculates the current year salary. Create a Worker classes that is derived from Employee and SalaryCalculate class. In Worker class, it includes two field, nYearWked and curSalary, and constructor(s). It defines the CalcYearWorked() function using (current year – yearStartedWked) and save it in the nYearWked variable. It also defines the CalcCurSalary() function that calculates the current year salary by using initial salary with 3% yearly increment. Create a Manager class that is derived from Worker class. In Manager class, it includes one field: yearPromo and constructor(s). Itincludes a CalcCurSalary function that calculate the current year salary by overriding the base class function using initial salary with 5% yearly increment plus 10% bonus. The manager’s salary calculates in two parts. It calculates as a worker before the year promoted and as a manager after the promotion. Write an application that reads the workers and managers information from files (“worker.txt” and “manager.txt”) and then creates the dynamic arrays of objects. Prompt the user for current year and display the workers’ and managers’ current information in separate groups: first and last name, ID, the year he/she has been working, and current salary.
Worker.txt
5 Hector Alcoser A001231 1999 24000 Anna Alaniz A001232 2001 34000 Lydia Bean A001233 2002 30000 Jorge Botello A001234 2005 40000 Pablo Gonzalez A001235 2007 35000
Manager.txt
3 Sam Reza M000411 1995 51000 2005 Jose Perez M000412 1998 55000 2002 Rachel Pena M000413 2000 48000 2010
In: Computer Science
The accompanying table presents the expected cost and revenue data for the Tucker Tomato Farm. The Tuckers produce tomatoes in a greenhouse and sell them wholesale in a perfectly competitive market.
1. Fill in the firm’s marginal cost, average variable cost, average total cost, and profit schedules.(Round to two digits after the decimal point)
2. If the Tuckers are profit maximizers, how many tomatoes should they produce when the market price is $500 per ton? Indicate their profits.
3. Indicate the firm’s output level and maximum profit if the market price of tomatoes increases to $550 per ton.
4. How many units would the Tucker Tomato Farm produce if the price of tomatoes fell to $450 per ton? What would be the firm’s profits? Should the firm stay in business in the short-run? Explain.
Cost and Revenue Schedules for Tucker Tomato Farm, Inc.
|
Output |
Total |
Price |
Marginal |
Average |
Average |
Profit |
|||||||
|
(Tons Per |
Cost |
per Ton |
Cost |
Variable |
Total Cost |
(Loss) |
|||||||
|
Month) |
Cost |
||||||||||||
|
0 |
$1,000 |
$500 |
--- |
--- |
--- |
||||||||
|
1 |
1,200 |
500 |
|||||||||||
|
2 |
1,350 |
500 |
|||||||||||
|
3 |
1,550 |
500 |
|||||||||||
|
4 |
1,900 |
500 |
|||||||||||
|
5 |
2,300 |
500 |
|||||||||||
|
6 |
2,750 |
500 |
|||||||||||
|
7 |
3,250 |
500 |
|||||||||||
|
8 |
3,800 |
500 |
|||||||||||
|
9 |
4,400 |
500 |
|||||||||||
|
10 |
5,150 |
500 |
|||||||||||
In: Economics