The Hamptons Home of a Famed Socialite Hits the Market “Before there was Paris Hilton, there was Consuelo Vanderbilt Balsan – a Gilded Age heiress and socialite, renowned for her beauty and wealth. Ms. Balsan’s onetime Hamptons home was slated to hit the market priced at $38 million with Tim Davis of the Corcoran Group. Located on Ox Pasture Road in Southampton, the shingle-style home was built around 1910 and is known as “Gardenside” or “Cara-Mia”. Ms. Balsan, the great-granddaughter of railroad magnate Cornelius Vanderbilt, owned the house until her death in 1954.
According to public records, the estate is owned by Robert G. Goldstein, executive vice president and president of global gaming operations at Las Vegas Sands Corp, and his wife Sheryl, who purchased the house in 2002 for $17.4 million.” (The Wall Street Journal, August 1, 2014, M2) In your initial response to the topic, you have to answer all the questions. You are expected to make your own contribution in the main topic as well as respond with value-added comments to at least two of your classmates as well as to your instructor. Calculate the annual compound growth rate of the house price during the period when the house was owned by Robert G. Goldstein (since 2002). (Round the number of years to the whole number). Please show your work. Assume that the growth rate you calculated in question #1 remains the same for the next 30 years. Calculate the price of the house in 30 years after it was sold by Robert G. Goldstein. Please show your work.
The home originally sold for $38mil.
Assume that the growth rate you calculated in question #1 remains the same since the house was sold. Calculate the price of the house today. (Round the number of years to the whole number). Please show your work.
Assume the growth rate that you calculated in #1 prevailed since 1910. Calculate the price of the house in 1910. Please show your work. Assume the growth rate that you calculated in #1 prevailed since 1910. Calculate the price of the house in 1954.
Please show your work. You were using the time value of money concept to answer question #5. Think about the timeline for that problem.
What is the time point 0 in that problem? Please explain your answer. Reflection – the students also should include a paragraph in the initial response in their own words reflecting on specifically what they learned from the assignment and how they think they could apply what they learned in the workplace.
In: Finance
“Before there was Paris Hilton, there was Consuelo Vanderbilt Balsan – a Gilded Age heiress and socialite, renowned for her beauty and wealth. Ms. Balsan’s onetime Hamptons home was slated to hit the market priced at $28 million with Tim Davis of the Corcoran Group. Located on Ox Pasture Road in Southampton, the shingle-style home was built around 1910 and is known as “Gardenside” or “Cara-Mia”. Ms. Balsan, the great-granddaughter of railroad magnate Cornelius Vanderbilt, owned the house until her death in 1954. According to public records, the estate is owned by Robert G. Goldstein, executive vice president and president of global gaming operations at Las Vegas Sands Corp, and his wife Sheryl, who purchased the house in 2002 for $17.4 million.” (The Wall Street Journal, August 1, 2014, M2) In your initial response to the topic you have to answer all questions. You are expected to make your own contribution in a main topic as well as respond with value added comments to at least two of your classmates as well as to your instructor.
1.Calculate the annual compound growth rate of the house price during the period when the house was owned by Robert G. Goldstein (since 2002). (Round the number of years to the whole number). Please show your work.
2.Assume that the growth rate you calculated in question #1 remains the same for the next 30 years. Calculate the price of the house in 30 years after it was sold by Robert G. Goldstein. Please show your work.
3.Assume that the growth rate you calculated in question #1 remains the same since the house was sold. Calculate the price of the house today. (Round the number of years to the whole number). Please show your work.
4.Assume the growth rate that you calculated in #1 prevailed since 1910. Calculate the price of the house in 1910. Please show your work.
5.Assume the growth rate that you calculated in #1 prevailed since 1910. Calculate the price of the house in 1954. Please show your work.
6.You were using the time value of money concept to answer question #5. Think about the time line for that problem. What is the time point 0 in that problem? Please explain your answer.
7. Reflection – the students also should include a paragraph in the initial response in their own words reflecting on specifically what they learned from the assignment and how they think they could apply what they learned in the workplace.
In: Accounting
|
Dry Goods Sales The data is for weekly sales in the dry goods department at a Wal*Mart store in the Northeast. Peak values, I.e. spikes, usually occur at holiday periods. Week 1 is the first week of February 2002. To show continuity, week 1 of 2003 is represented as week 54 since week 53 represents the end of fiscal 2002 and start of the 2003 fiscal year. Dollar values are adjusted in order to disguise true sales figures, but trends in the data are retained for analysis puposes. |
| Week | Sales in $ | ||||||||
| 26 | 15200 | ||||||||
| 27 | 15600 | ||||||||
| 28 | 16400 | ||||||||
| 29 | 15600 | ||||||||
| 30 | 14200 | ||||||||
| 31 | 14400 | ||||||||
| 32 | 16400 | ||||||||
| 33 | 15200 | ||||||||
| 34 | 14400 | ||||||||
| 35 | 13800 | ||||||||
| 36 | 15000 | ||||||||
| 37 | 14100 | ||||||||
| 38 | 14400 | ||||||||
| 39 | 14000 | ||||||||
| 40 | 15600 | ||||||||
| 41 | 15000 | ||||||||
| 42 | 14400 | ||||||||
| 43 | 17800 | ||||||||
| 44 | 15000 | ||||||||
| 45 | 15200 | ||||||||
| 46 | 15800 | ||||||||
| 47 | 18600 | ||||||||
| 48 | 15400 | ||||||||
| 49 | 15500 | ||||||||
| 50 | 16800 | ||||||||
| 51 | 18700 | ||||||||
| 52 | 21400 | ||||||||
| 53 | 20900 | ||||||||
| 54 | 18800 | ||||||||
| 55 | 22400 | ||||||||
| 56 | 19400 | ||||||||
| 57 | 20000 | ||||||||
| 58 | 18100 | ||||||||
| 59 | 18000 | ||||||||
| 60 | 19600 | ||||||||
| 61 | 19000 | ||||||||
| 62 | 19200 | ||||||||
| 63 | 18000 | ||||||||
| 64 | 17600 | ||||||||
| 65 | 17200 | ||||||||
| 66 | 19800 | ||||||||
| 67 | 19600 | ||||||||
| 68 | 19600 | ||||||||
| 69 | 20000 | ||||||||
| 70 | 20800 | ||||||||
| 71 | 22800 | ||||||||
| 72 | 23000 | ||||||||
| 73 | 20800 | ||||||||
| 74 | 25000 | ||||||||
| 75 | 30600 | ||||||||
| 76 | 24000 | ||||||||
|
77 |
21200 |
||||||||
1.) Can you identify at least 6 holiday periods or special events that cause the spikes in the data?
a.) In each case give the week number, date, and what holiday or special event it represents
b.) Which holiday results in the maximum sales for this department and how much are the sales?
2.) Generate three linear models for this data. Each linear model should be generated from a pair of data points.
a.) For each linear model, find the equation of the line. Show your work. Write the equation in slope intercept form.
b.) For each linear model discuss the meaning of the slope and y-intercept. Also provide an analysis as to why you like or dislike that particular model
c.) Discuss the rationale behind the model that you believe best predicts future results.
3.) Predict and analyze sales for the next four weeks
a.) Using your most preferred linear model, predict sales for the next four weeks and show calculations
b.) Based on your preferred linear model, compute the percent rate of increase (y2-y1)/y1 for the next four weeks
4.) If you were a manager of this department store, what recommendation would you make to the person in charge of inventory?
In: Math
Consider the following database schema for a BOOKSTORE database:
The Books relation stores information about books sold by the bookstore. Note that bookid is the primary key. An example tuple is as follows:
(105, 'JAVA PROGRAMMING', 'JOHN DOE', 2001)
The Customers relation stores information about the customers of the bookstore. Note that customerid is the primary key. An example tuple is as follows:
(210, 'JOHN SMITH', '[email protected]')
The Purchases relation stores information about the customer purchases of books. Note that customerid and bookid form the primary key. An example tuple is as follows:
(210, 105, 2002), indicating that 'JOHN SMITH' with customerid 210 purchased the 'JAVA PROGRAMMING' book with bookid 105 in the year 2002.
The Reviews relation stores information about the customer reviews/ratings of the books. The ratings field refers to the number of "stars" given to the book. Note that customerid and bookid form the primary key. An example tuple is as follows:
(210, 105, 3), indicating that 'JOHN SMITH' with customerid 210 gave a 3-star rating to the 'JAVA PROGRAMMING' book with bookid 105.
The Pricing relation stores information about the price of the various books sold by the bookstore. Note that the same book can be available in multiple formats at possibly different prices. The price field refers to the number of dollars. For instance a $25 purchase will have a price field of 25. Note that the bookid and format fields form the primary key for the relation. An example tuple is as follows:
(105, 'AUDIO', 25), indicating that the 'JAVA PROGRAMMING' book with bookid 105 is available in the audio format for $25.
Given the above schema, write queries for the following:
In: Computer Science
MARS, Inc. (D)1
In January 2009, Tom Sosa, the purchasing manager, received a telephone call from their Columbus, Indiana, diesel engine supplier informing him that effective June they were no longer producing the D-342 diesel engines at the Columbus plant. The D-342 engine sales were decreasing and would no longer be in their product line. Tom was in shock. He was now forced to deal with the sole supplier of the D-342 located in Portland, Oregon. The most recent price schedule submitted by the Oregon engine supplier is given below:
| Units per Order | Unit Price |
| Less than or equal to 100 | $ 4,800 |
| Between 100 and 200 | 4,700 |
| Greater than 200 | 4,550 |
The prices had been basically the same as the Columbus supplier except that they are F.O.B. Portland. The traffic department informed Tom that the transportation cost per hundredweight is $10 for carload lots of 50,000 pounds. The less than carload rate is $15 per hundredweight. The replenishment cycle normally takes one week.
BACKGROUND
Tom Sosa, the supply manager for MARS, Inc. was contemplating several significant changes in the D-342 diesel engine market. Mr. Sosa was concerned because in its production of the 98-D loader, MARS used 10 diesel engines each working day of the month. (MARS operated on a 20-day-per-month schedule.) Each engine weighs 500 pounds. Engine orders are currently placed every Monday morning. For the past 10 years, the D-342 engines had been produced in only two locations in the United States, one in Columbus, Indiana, and the other in Portland, Oregon. Mr. Sosa felt fortunate that the Columbus producer was located approximately 30 miles from his facility. The Columbus supplier offered just-in-time delivery service at no charge to MARS.
MARS implemented lean manufacturing in 2002. The kanban-controlled JIT production system was implemented based on the premise of minimizing work-in-process inventories (waste) by reducing lot sizes in order to increase production efficiency and product quality.
ACTION TAKEN BY TOM
Mr. Sosa compiled cost and warehouse capacity data on the D-342 engine from the accounting department. See Table C17.1.
Mr. Sosa wonders what effects these new developments will have on his cost structure.
Assignment Questions
1. What were MARS’s total costs per year prior to the new price structure when the diesel engine price was $4,800? Was MARS using the EOQ method?
TABLE C17.1
Cost and Warehouse Capacity
| Cost of unloading engines into warehouse | $0.25 (per 100/wt) |
| Order processing cost per requisition | $100 |
| Warehouse capacity | 200 units |
| Outside warehouse costs | $39 per year per unit* |
| Expediting cost per requisition | $50 |
| Inventory carrying cost | 38% |
*There is existing space in the warehouse for 200 units. Additional space must be leased for a year. If an order is more than 200 units, part of the order must be stored in leased space.
2. With volume discounts and warehouse constraints, what is the best ordering quantity?
3. With purchase discounts and different rates, how are costs and EOQs affected?
4. How will these changes impact the lean manufacturing philosophy at MARS?
5. Determine the cost impact of using the Portland supplier. How will the change in supplier for the D-342 diesel engine affect sales for the 98-D loader?
In: Operations Management
| Step 1 - Compute Mean and Median Values for peer-organizations. (Exclude H/D from the computations. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Step 2 - Present and JUSTIFY your estimates using EACH of the following:. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| a- Price/earnings | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| b- MV firm/EBIT(1 - tax rate) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| c - MV equity/BV equity | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| d - MV firm/BV firm | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| e - Price/sales (x) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| f - MV firm/sales (x) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Step 3 - Present your "estimated indicators of value" in a matrix format. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Step 4 - Present the implied value of HOG common stock per share for each indicator of value in matrix format. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Step 5 - Add a Text Box and present an evaluation of your best analysis for a "fair price" for HD Shares.
|
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In: Accounting
| Company | Year | Rating | Price |
| 3M (MMM) | 1976 | ** | 192.36 |
| American Express (AXP) | 1982 | *** | 79.25 |
| Apple (AAPL) | 2015 | *** | 139.99 |
| Boeing (BA) | 1987 | *** | 180.10 |
| Caterpillar (CAT) | 1991 | ** | 92.91 |
| Chevron Corp. (CVX) | 2008 | ** | 107.68 |
| Cisco Systems (CSCO) | 2009 | ** | 34.23 |
| Coca-Cola (KO) | 1987 | **** | 42.03 |
| Disney (DIS) | 1991 | **** | 111.76 |
| DuPont (DD) | 1935 | ** | 81.25 |
| ExxonMobil (XOM) | 1928 | *** | 82.00 |
| General Electric (GE) | 1907 | *** | 29.28 |
| Goldman Sachs (GS) | 2013 | ** | 243.94 |
| Home Depot (HD) | 1999 | ** | 149.60 |
| Intel (INTC) | 1999 | ** | 35.27 |
| IBM (IBM) | 1979 | *** | 175.65 |
| Johnson & Johnson (JNJ) | 1997 | ** | 128.06 |
| JPMorgan Chase (JPM) | 1991 | ** | 90.68 |
| McDonald's (MCD) | 1985 | *** | 128.64 |
| Merck (MRK) | 1979 | *** | 63.90 |
| Microsoft (MSFT) | 1999 | *** | 64.87 |
| Nike (NKE) | 2013 | *** | 57.80 |
| Pfizer (PFE) | 2004 | **** | 34.32 |
| Proctor & Gamble (PG) | 1932 | *** | 91.00 |
| Travelers (TRV) | 2009 | *** | 123.14 |
| United Technologies (UTX) | 1939 | *** | 113.45 |
| UnitedHealth (UNH) | 2012 | ** | 169.70 |
| Verizon Comm. (VZ) | 2004 | *** | 50.39 |
| Visa (V) | 2013 | **** | 90.24 |
| Wal-Mart (WMT) | 1991 | **** | 69.89 |
1 1. Use "DOW_Characteristics" data in Chapter1.xlsx to answer the following questions. For questions that require Excel, include the appropriate output (copy + paste) along with an explanation. Data description: The accompanying table shows a portion of the 30 companies that comprise the Dow Jones Industrial Average (DJIA). The second column shows the year that the company joined the DJIA (Year). The third column shows each company’s Morningstar rating (Rating). (Five stars is the best rating that a company can receive, indicating that the company’s stock price is undervalued and thus a very good buy. One star is the worst rating a company can be given, implying that the stock price is overvalued and a bad buy.) Finally, the fourth column shows each company’s stock price as of March 17, 2017 (Price in $).
Questions: a. Are data in the table from a sample or from a population? Explain.
b. Are data in the table time series data or not? Explain
c. What is the measurement scale of the Year data? What are the strengths of this type of data? What are the weaknesses?
d. What is the measurement scale of Morningstar’s star-based rating system? Summarize Morningstar’s star-based rating system for the companies in tabular form. Let 5 denote *****, 4 denote ****, and so on. What information can be extracted from these data?
e. What is the measurement scale of the Stock Price data? What are its strengths?
f. List the qualitative and quantitative variables in the data table.
In: Statistics and Probability
| Harley-Davidson Inc. produces motorcycles, motorcycle parts and related accessories and merchandise in the United States and internationally. It is headquartered in Milwaukee, Wisconsin. Use the following information on Harley-Davidson and five other similar companies to value Harley-Davidson as of December 31, 2004. | ||||||||||
| Harley-Davidson Inc. 2004 ($ millions) | ||||||||||
| Net income | $ 889.77 | |||||||||
| Number of common shares, millions | 294.31 | |||||||||
| Earnings before interest and tax | $ 1,506.16 | |||||||||
| Tax rate | 35.0% | |||||||||
| Book value of equity | $ 3,218.47 | |||||||||
| Book value interest-bearing debt | $ 1,295.44 | |||||||||
| Total Sales | $ 5,320.45 | |||||||||
| Total Assets | $ 5,483.29 | |||||||||
| Harley- | Arctic | Polaris | Marine | Winnebago | ||||||
| Davidson | Cat | Brunswick | Industries | Products | Industries | |||||
| Comparison of Timberland with Comparable Companies: | ||||||||||
| Growth Rates, Financial Risks, Size, Returns | ||||||||||
| 5-year growth rate in sales (%) | 15.5 | 6.2 | 4.1 | 6.1 | 15.5 | 10.8 | ||||
| 5-year growth rate in eps (%) | 28.1 | 11.1 | 47.1 | 15.9 | 25.1 | 17.2 | ||||
| Interest coverage ratio (x) | 60.9 | * | 8.9 | 85.1 | * | * | ||||
| Total liabilities to assets (%) | 0.4 | 0.3 | 0.6 | 0.5 | 0.2 | 0.5 | ||||
| Total assets ($ millions) | 5,483 | 286 | 4,346 | 793 | 110 | 395 | ||||
| Indicators of Value | ||||||||||
| Price/earnings (x) | 16.9 | 17.8 | 27.8 | 28.6 | 18.6 | |||||
| MV firm/EBIT(1-tax rate) (x) | 17.3 | 19.4 | 24.3 | 29.0 | 17.6 | |||||
| MV equity/BV equity (x) | 2.8 | 2.8 | 8.0 | 7.7 | 6.5 | |||||
| MV firm/BV firm (x) | 2.8 | 2.3 | 7.7 | 7.7 | 6.5 | |||||
| Price/sales (x) | 0.8 | 0.9 | 1.6 | 2.7 | 1.2 | |||||
| MV firm/sales (x) | 0.8 | 1.1 | 1.7 | 2.7 | 1.2 | |||||
| * These companies have little or no interest-bearing debt outstanding. | ||||||||||
| Tasks to complete: | ||||||||||
| Step 1 - Compute Mean and Median Values for peer-organizations. (Exclude H/D from the computations. | ||||||||||
| Step 2 - Present and JUSTIFY your estimates using EACH of the following:. | ||||||||||
| a- Price/earnings | ||||||||||
| b- MV firm/EBIT(1 - tax rate) | ||||||||||
| c - MV equity/BV equity | ||||||||||
| d - MV firm/BV firm | ||||||||||
| e - Price/sales (x) | ||||||||||
| f - MV firm/sales (x) | ||||||||||
| Step 3 - Present your "estimated indicators of value" in a matrix format. | ||||||||||
| Step 4 - Present the implied value of HOG common stock per share for each indicator of value in matrix format. | ||||||||||
| Step 5 - Add a Text Box and present an evaluation of your best analysis for a "fair price" for HD Shares. | ||||||||||
In: Finance
How can changes in federal intergovernmental aid have more than a proportionate impact on state and local spending?
In: Economics
how current Economic influences are prevalent within china and what changes are made within china in political structure
In: Economics