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The Bainters consider the costs as well as the pros and cons of renting and owning. They consider that they have a stable monthly income and plan to live in the area for a minimum of 15 years.
Based on your calculations, as well as the additional factors the Bainters might consider, do you think they should rent or purchase a house? Why?
Your answer should include
- a decision for the Bainters to either rent a house or purchase a house
- an explanation of why you think they should rent or purchase (include a minimum of three reasons)
Keep in mind that either decision may be valid if you fully justify your answer.
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- Assume the demand for a companys drug Wozac during the current year is 50,000, and assume demand will grow at 5% a year. If the company builds a plant that can produce x units of Wozac per year, it will cost 16x. Each unit of Wozac is sold for 3. Each unit of Wozac produced incurs a variable production cost of 0.20. It costs 0.40 per year to operate a unit of capacity. Determine how large a Wozac plant the company should build to maximize its expected profit over the next 10 years.It costs a pharmaceutical company 75,000 to produce a 1000-pound batch of a drug. The average yield from a batch is unknown but the best case is 90% yield (that is, 900 pounds of good drug will be produced), the most likely case is 85% yield, and the worst case is 70% yield. The annual demand for the drug is unknown, with the best case being 20,000 pounds, the most likely case 17,500 pounds, and the worst case 10,000 pounds. The drug sells for 125 per pound and leftover amounts of the drug can be sold for 30 per pound. To maximize annual expected profit, how many batches of the drug should the company produce? You can assume that it will produce the batches only once, before demand for the drug is known.Seas Beginning sells clothing by mail order. An important question is when to strike a customer from the companys mailing list. At present, the company strikes a customer from its mailing list if a customer fails to order from six consecutive catalogs. The company wants to know whether striking a customer from its list after a customer fails to order from four consecutive catalogs results in a higher profit per customer. The following data are available: If a customer placed an order the last time she received a catalog, then there is a 20% chance she will order from the next catalog. If a customer last placed an order one catalog ago, there is a 16% chance she will order from the next catalog she receives. If a customer last placed an order two catalogs ago, there is a 12% chance she will order from the next catalog she receives. If a customer last placed an order three catalogs ago, there is an 8% chance she will order from the next catalog she receives. If a customer last placed an order four catalogs ago, there is a 4% chance she will order from the next catalog she receives. If a customer last placed an order five catalogs ago, there is a 2% chance she will order from the next catalog she receives. It costs 2 to send a catalog, and the average profit per order is 30. Assume a customer has just placed an order. To maximize expected profit per customer, would Seas Beginning make more money canceling such a customer after six nonorders or four nonorders?
- A common decision is whether a company should buy equipment and produce a product in house or outsource production to another company. If sales volume is high enough, then by producing in house, the savings on unit costs will cover the fixed cost of the equipment. Suppose a company must make such a decision for a four-year time horizon, given the following data. Use simulation to estimate the probability that producing in house is better than outsourcing. If the company outsources production, it will have to purchase the product from the manufacturer for 25 per unit. This unit cost will remain constant for the next four years. The company will sell the product for 42 per unit. This price will remain constant for the next four years. If the company produces the product in house, it must buy a 500,000 machine that is depreciated on a straight-line basis over four years, and its cost of production will be 9 per unit. This unit cost will remain constant for the next four years. The demand in year 1 has a worst case of 10,000 units, a most likely case of 14,000 units, and a best case of 16,000 units. The average annual growth in demand for years 2-4 has a worst case of 7%, a most likely case of 15%, and a best case of 20%. Whatever this annual growth is, it will be the same in each of the years. The tax rate is 35%. Cash flows are discounted at 8% per year.A firm that plans to expand its product line must decide whether to build a small or a large facilityto produce the new products. If it builds a small facility and demand is low, the net present valueafter deducting for building costs will be $400,000. If demand is high, the firm can either maintainthe small facility or expand it. Expansion would have a net present value of $450,000, and maintaining the small facility would have a net present value of $50,000.If a large facility is built and demand is high, the estimated net present value is $800,000. If demandturns out to be low, the net present value will be – $10,000.The probability that demand will be high is estimated to be .60, and the probability of low demandis estimated to be .40.a. Analyze using a tree diagram.A firm that plans to expand its product line must decide whether to build a small or a large facilityto produce the new products. If it builds a small facility and demand is low, the net present valueafter deducting for building costs will be $400,000. If demand is high, the firm can either maintainthe small facility or expand it. Expansion would have a net present value of $450,000, and maintaining the small facility would have a net present value of $50,000.If a large facility is built and demand is high, the estimated net present value is $800,000. If demandturns out to be low, the net present value will be – $10,000.The probability that demand will be high is estimated to be .60, and the probability of low demandis estimated to be .40. 1- Compute the EVPI 2- Determine the range over which each alternative would be best in terms of the value of P ( low demand )
- Julia Robertson is a senior at Tech, and she’s investigating different ways to finance her final year at school. She is considering leasing a food booth outside the Tech stadium at home football games. Tech sells out every home game, and Julia knows, from attending the games herself, that everyone eats a lot of food. She has to pay $1,000 per game for a booth, and the booths are not very large. Vendors can sell either food or drinks on Tech property, but not both. Only the Tech athletic department concession stands can sell both inside the stadium. She thinks slices of cheese pizza, hot dogs, and barbecue sandwiches are the most popular food items among fans, and so these are the items she would sell. Most food items are sold during the hour before the game starts and during halftime; thus it will not be possible for Julia to prepare the food while she is selling it. She must prepare the food ahead of time and then store it in a warming oven. For $600 she can lease a warming oven for…Your firm is considering purchasing an oldoffice building with an estimated remaining servicelife of 25 years. Recently, the tenants signed a longterm lease, which leads you to believe that the currentrental income of $250,000 per year will remain constant for the first five years. Then the rental incomewill increase by 10% for every five-year interval overthe remaining life of the asset. That is, the annualrental income would be $275,000 for years 6 through10, $302,500 for years 11 through 15, $332,750 foryears 16 through 20, and $366,025 for years 21through 25. You estimate that operating expenses,including income taxes, will be $85,000 for the firstyear and that they will increase by $5,000 each yearthereafter. You also estimate that razing the buildingand selling the lot on which it stands will realize a netamount of $50,000 at the end of the 25-year period.If you had the opportunity to invest your money elsewhere and thereby earn interest at the rate of 12% perannum, what would be…Larry’s Bakery operates a chain of ten high-end bakeries. Larry, the owner of these amazing bakeries, is looking at two options to increase his revenues throughout his chain of bakeries. The first option is to launch a loyalty card. Doing this would cost Larry $500,000. The probability that this would result in high sales is 0.6, which means the probability it would result in low sales is 0.4. If high sales are generated from this option, Larry can expect to see additional revenues of $1,000,000. If low sales are generated from this option, Larry can expect to see additional revenues of only $750,000. The second option Larry has is to cut the prices throughout his bakeries. Doing so would cost him $300,000. The probability that this would result in high sales is 0.8. If doing this results in high sales, Larry can expect to see additional revenues of $800,000. If it results in low sales, he can expect to see additional revenues of only $500,000. Larry obviously has a tough decision…
- Lauren Moore has sold her business for $500,000 and wants to invest in condominium units (which she intends to rent) and land (which she will lease to a farmer). She estimates thatshe will receive an annual return of $8,000 for each condominium and $6,000 for each acre of land. A condominium unit costs $70,000, and land costs $30,000 per acre. A condominium will cost her $1,000 per unit. an acre of land will cost $2,000 for maintenance and upkeep, and $14,000 has been budgeted for these annual expenses. Lauren wants to know how much to invest in condominiums and land to maximize her annual return. a. Formulate a mixed integer programming model for this problem. b. Solve this model by using the computer.Suppose my utility function for asset position x is givenby u(x) ln x.a Am I risk-averse, risk-neutral, or risk-seeking? b I now have $20,000 and am considering the follow-ing two lotteries: L1: With probability 1, I lose $1,000.L2: With probability .9, I gain $0.L2: With probability .1, I lose $10,000.Determine which lottery I prefer and the risk premium of L2.In the problem on excel : 1.What are the decision variables 2.What is the objective functions 3. What are the 12 constraints and explain You won $750,000 from a lottery and, you have decided to come up with a list of possible investments that you will invest, all of the $750,000 that you have won. The expected return of each of the 6 possible investments that you are considering investing in,and their Expected Rate of Return over the next year are in the table below. Investment Expected Rate of return Amazon Inc (USA Shares) 13.5% Royal Bank of Canada (Canadian Shares) 7.4% Nike Inc (USA Shares) 10.0% Telus Corporation (Canadian Shares) 6.1% Snap Inc (USA Shares) 3.0% Nestle SA (Switzerland Shares) 4.8% it is important to have a diversified portfolio, and therefore have come up with the following guidelines on how to invest your money: 1.The total invested in USA Shares should be at least 10% but no more then 45% of the total…