3: Access Inc. is in operation from last 8 years, and have a balance of $640,000 in the machinery account as at Jan 01, 2000. the remaning life of this machinery is 7 years and had a salvage value of 63000. On August 01, 2000, the Company made additions to the machinery a/c of $98,000. The machinery is expected to produce a total of 200,000 units. The machinery was used in the production in the following manner:

Year Production

2000 13,400

2001 34,200

2002 38,400

2003 39,100

2004 31,900

2005 28,060

2006 14,940

There was another addition to the machineries for $126,000 on Jan 01, 2002. The useful life of the asset is 9 years and it can realize $13,400 at the end of 9 years. On Jan 01, 2006, the company reassessed the useful life of this machiney to be 11 years, while the salvage value remained the same.

On Oct 01, 2005, the company bought an equipemt, which was expected to be used a total of 46,000 machine hours (MH) The equipment was used as per the below mentioned schedule:

2005 $ 1,730

2006 $ 4,200

2007 $ 3,100

2008 $ 4,600

2009 $ 5,900

2010 $ 7,070

At the end of 2010, the company assessed that its original estimation was wrong and the equipment is expected to work only 12,000 more machine hours. During 2011, the equipment was used for 4,800MH, 2012 5,300MH, and rest of the hours were used in 2013.

Prepared a schedule of the machinery and equipment account together.

Show your working notes properly.

Hint: For presentation purpose, you can give numbering to the machinese,

Suppose retailers would like to forecast the percentage of customers who plan to purchase gift cards during the upcoming holiday season. The following data show this percentage from 2002 to 2009. The data is as follows:

Perform the following:

1. Using a 3-period simple moving average, forecast the percentage of holiday shoppers who will purchase a gift card in 2010.

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2. Calculate the MAD for the forecast in part a.

3. Using a 3-period weighted moving average with the weights 5, 3, and 1, forecast the percentage of holiday shoppers who will purchase a gift card in 2010.

4. Calculate the MAD for the forecast in part c.

5. In which forecast do you have the most confidence?

Choose a publicly traded company and answer the following questions:

1. Explain the importance of considering the financial risk of rivals, customers, suppliers, and other counter-parties.

2. Then discuss what company should take into consideration in terms of how it might affect their financial decisions.

3. Analyze and rank the level of time a company should spend on financial planning/protecting their business from risk and competitors.

Shown below are rental and leasing revenue figures for office machinery and equipment in the United States over a 7-year period according to the U.S. Census Bureau. Use this data and the regression tool in the data analysis tool pack to run a linear regression. Based on the formula you get from the regression output, answer the following questions: a) What is the forecast for the rental and leasing revenue for the year 2011? b) How confident are you in this forecast? Explain your answer by citing the relevant metrics. Year Rental and Leasing ($ millions) 2004 5,860 2005 6,632 2006 6,543 2007 5,952 2008 5,732 2009 5,423 2010 4,589

can the answer be typed out please?

ou have the following historical annual total returns on Terlingua Oil & Gas Exploration:

Year Annual total return (%)

2001 -9%

2002 -2%

2003 19%

2004 3%

2005 2%

2006 4%

2007 7%

2008 -8%

2009 5%

2010 3%

Calculate the sample standard deviation of annual return. Do not round at intermediate steps in your calculation. Express your answer in percent. Round to two decimal places. Do not type the % symbol.

New Revenue Recognition Standard

Please discuss some of the key changes included in the new standard. The new standard was implemented this year for publicly traded companies and next year for privately-held companies. Have publicly traded companies encountered challenges with implementation?

I need this in pseudocode:

Similar to the previous assignment, you’re going to read in the number of years the player played and the starting year of that player – followed by the statistics for those years. This time, however, you’re going to print out the years from worst to best in sorted order. Hint: this will require a second array to store years. If you can sort one array, can you sort both? Sample Output #1: Enter the number of years: 5

Enter the starting year: 2003

Enter stat for year 2003: 5

Enter stat for year 2004: 4

Enter stat for year 2005: 7

Enter stat for year 2006: 1

Enter stat for year 2007: 3

2006|2007|2004|2003|2005|

Sample Output #2: Enter the number of years: 6

Enter the starting year: 1879

Enter stat for year 1879: 70

Enter stat for year 1880: 89

Enter stat for year 1881: 111

Enter stat for year 1882: 65

Enter stat for year 1883: 105

Enter stat for year 1884: 98

1882|1879|1880|1884|1883|1881|

The Company:

Telemarketing Incorporated (TI) is a service company with their primary business base in the Rocky Mountain region. TI is a service organization in the business of collecting and selling information for contracted clients.

Production Information:

TI made 5,221,782 calls in 2004 to households all over the Rocky Mountain region from their main telemarketing facility in Colorado Springs. There were a total of 330 working days in 2004, which TI conducted telemarketing calls. In 2004 TI completed, on average, over 15,800 calls a day.

TI’s main facility was designed to achieve a capacity level of between 17000-18000 calls a day (from 7:00 a.m. to 12:00 midnight). However, company analysis has shown that the best operation level (BOL) for TI is 17,600 calls a day. At the BOL level TI is able to achieve its lowest unit cost per call given several variables associated with the information collected and calling costs as contracted with clients.

TI has a company policy, which states, “Any one-month period where total calls exceed 500,000 the excess is considered service cushion or capacity cushion.” (Look at capacity cushion in this line of work along the line of a product-focused company that produces bottles, cars, computers or some other tangible product in excess of demand.) The company is compensated for these “cushion” periods at a rate of $10 per call over 500,000, with a cap of 11,500 over the 500,000.

The following is a monthly breakdown of TI’s service call rates for all of 2004. This information was obtained in its raw form and some normalizing of the data is required.

Table Information:

You’ll need to normalize Table 1 below before completing the fourteen (14) questions that follow.

Table 1 – TI’s 2004 Monthly/Daily Production Data (Requiring Normalization)

Month               Production Numbers   Number of Working Days During Month

January       15000 units/day       27 working days

February       15900 units/day       26 working days

March       419720 units/month            28 working days

April           16790 units/day       27 working days

May           504900 units/month   27 working days

June           17600 units/day       28 working days

July           391972 units/month   28 working days

August       12897units/day       29 working days

September       11569 units/day       27 working days

October       463681 units/month   29 working days

November       17689 units/day       27 working days

December       19000 units/day       27 working days

Total                                    330

Notes:

• When completing this problem a symmetrical curve for both economies and diseconomies of scale is assumed.

• Calculate capacity utilization rates as compared to the ideal BOL level.

Answer the Following Questions Based on the

Information Provided

Normalize data

Possible Points – There is a total of 20 possible.

1. Based on 2004 information what is TI’s annual design capacity production range (quantity)

2. What was its annual capacity utilization rate for 2004 as compared to the company’s BOL?

3. What would the company’s annual calls completed output be if it produced at its BOL for all of 2004 year?

4. Which are the second, third and fifth most underutilized months with regard to capacity utilization?

5. What is the capacity underutilization percentage for these three months (reference: Question 4)?

6. What three months did TI complete calls at the lowest per unit cost?

7. What three months did TI complete calls at the highest per unit cost?

8.     a) Was/were there any month/s were service or capacity    cushion applied?

       b) If so, what was/were the month/s?

       c) What was the cushion in calls (quantity) and capacity cushion percentage for the month or months in question?

9. Based on the completion of Question 8 and other information provided what was TI’s total “cushion” compensation for 2004 ( please show in total dollars)?

10. What month/s fall under the term - economies of scale, excluding    the BOL month/s should there be any?   

11.    a) Comparing the underutilized capacity of February with    September, which of these two months better utilized the capacity excluding the  

b) Which of these two months most likely had a higher per call rate cost for the company?

12.    a) Were there any months where the company achieved a BOL?   

b) What month/s?

       c) Respond to this statement “The BOL is not sustainable    because……………”

13. What was the cost of January’s underutilization performance (think along the lines of the BOL) if each unit not produced cost the company $15? (Think along the lines of what was produced and what could have been produced.)

14. If you were the operations manager and the growth profile forecast for 2005 reflected a 10% growth in the number of calls made over 2004, an 8% growth in 2006 over 2005 and a 7% growth in 2007 over 2006 what business strategies would you be considering for the company? Note: Do not exceed 1.5-pages in your discussion of this question. Single or 1½ spacing is fine. Do not double space your work on this final question.)

I don't really understand how to estimate revenue. I have been given revenues from previous years and I am being asked to estimate the revenue for FY2020 and explain my rationale. Please help thank you! Please show all relevant work so I can understand how you got to the answer. Thank you!

PS: if possible please use regression including a graph.

From 1997-2006, the returns on Magni were as follows, Using Blume's Formula:

A. What would be the 1-year average forecast?

B. What would be the 2-year average forecast?

C. What would be the 6-year average forecast?

D. What would be the 10-year average forecast?