0.5 probability, and $500,000 with a 0.3 probability. Calculate Il's expected EPS, standard deviation, and coefficient of variation for each of the following capital structures. Which capital structure do you recommend? (LO 12-2)
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- Starting in 2010, on the heels of the 2007-2009 subprime mortgage crisis, the United States saw an epidemic of mortgage foreclosures, often initiated improperly by large financial institutions. This question is based on the following table, which shows the numbers of foreclosures in three states during three months of 2011. June July August California 54,100 56,200 59,400 Florida 23,800 22,400 23,600 Texas 9,300 10,600 10,100 Your law firm handled 30% of all forclosures in each state in june, 10% of all foreclosures in July, and 40% of all foreclosures in August 2011. Use matrix multiplication to compute the total number of foreclosures handled by your firm in each of the states shown. Total California Florida Texas1. Expenses for Joey's college attendance next year are as follows (in $): Tuition = 8400 Dormitory = 5400 Meals ~Unif(900,1350) Entertainment ~Unif(600,1200) Transportation ~Unif(200,600) Books ~Unif(400,800) Here are the income streams the student has for next year: Scholarship = 3000 Parents = 4000 Waiting Tables ~Unif(3000,5000) Library Job ~Unif(2000,3000) Use Monte Carlo simulation to estimate the expected value of the loan that will be needed to enable Joey to go to college next year.Nicholas Grammas is an investment analyst examining the performance of two mutual funds with Janus Capital Group: the Janus Balanced Fund and the Janus Overseas Fund. The Janus Balanced Fund (JANBX): This “core” fund consists of stocks and bonds and its goal is diversification. It has historically produced solid long-term returns through different market cycles. The Janus Overseas Fund (JAOSX): This fund invests in overseas companies based on their individual merits instead of their geography or industry sector. The following table reports a portion of the annual returns (in percent) for these two funds from 2000–2016. Year. Balanced. Overseas 2000 -2.16 -18.57 2001 -5.04 -23.11 2002 -6.56 -23.89 2003 13.74 36.79 2004 8.71 18.58 2005 7.75 32.39 2006 10.56 47.21 2007 10.15 27.76 2008 -15.22 -52.75 2009 24.28 78.12 2010 7.83 19.28…
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- The marketing department of a soft drink company wishes to determine the best investment level (Low, High) for introducing a new crystal-clear drink. The payoffs depending on market share for the two decision alternatives is given below: Market Share Investment Level < 1% 1% - 4% > 4% Low 300,000 400,000 500,000 High -400,000 300,000 3,000,000 The probability for a market share less than 1% is 0.3 and the probability for a market share more than 4% is 0.2. a) To minimize the maximum regret, which investment level should the department choose? b) To maximize expected values, which investment level should the department choose? c) What is the maximum amount the department should spend to get more information about the possible market share?Consider the following payoff table. States of Nature Alternatives A B Alternative 1 100 150 Alternative 2 200 100 Probability 0.4 0.6 How much should be paid for a perfect forecast of the state of nature? 100 30 170 10A store manager observes that the morale of employees in her supermarket is low. She thinks that if their working conditions are improved, pay scales rose, and the vacation benefits made more attractive, the morale will be boosted. She doubts, however, if an increase in pay scales would raise the morale of all employees. Her conjecture is that those who have supplemental incomes will just not be “turned on” by higher pay, and only those without side incomes will be happy with increased pay, with a resultant boost in morale Based on the scenario presented, answer the following questions: A) Identify the Independent, Dependent, Moderating, and Mediating Variables. Also provide justification for your choice. B) Create a schematic diagram (i.e., conceptual framework) that depicts the relationships among the variables. C) Based on the above conceptual framework develops at least four alternate hypotheses.
- Select one: a. time-series b. cross sectional c. panel Business School Full-Time Enrollment Students per Faculty Local Tuition ($) Foreign Tuitiion ($) English Test Work Experience Starting Salary ($) 1 Melbourne Business School 200 5 24,420 29,600 No Yes 71,400 2 University of New South Wales (Sydney) 228 4 19,993 32,582 No Yes 65,200 3 Indian Institute of Management (Ahmedabad) 392 5 4,300 4,300 No No 7,100 4 Chinese University of Hong Kong 90 5 11,140 11,140 No No 31,000 5 International University of Japan (Niigata) 126 4 33,060 33,060 Yes No 87,000 6 Asian Institute of Management (Manila) 389 5 7,562 9,000 No Yes 22,800 7 Indian Institute of Management (Bangalore) 380 5 3,935 16,000 No No 7,500 8 National University of Singapore 147 6 6,146 7,170 Yes Yes 43,300 9 Indian Institute of Management (Calcutta) 463 8 2,880 16,000 No No 7,400 10 Australian National University (Canberra) 42 2 20,300 20,300 Yes Yes 46,600 11 Nanyang Technological…How common are financial cost or contractual constraints associated with smartphone ownership? A survey of smartphone users found that 48% of the 18- to29-year-olds, 39% of the 30- to 49-year-olds, 24% of the 50- to 64-year-olds, and 19% of those aged 65 or older have reached the maximum amount of data they are allowed to use as part of their plan, at least on occasion: Suppose the survey was based on 300 smartphone owners in each of the four age groups: 18 to 29, 30 to 49, 50 to 64, and 65 and older. Complete parts (a) through (c). a. At the 0.05 level of significance, is there evidence of a difference among the age groups in the proportion of smartphone owners who have reached the maximum amount of data they are allowed to use as part of their plan, at least on occasion? The test statistic is χ2STAT= (Round to three decimal places as needed.) I am struggling in finding the expected frequency can you show in detail how you accomplish this for each…How common are financial cost or contractual constraints associated with smartphone ownership? A survey of smartphone owners found that 48% of the 18- to 29-year-olds, 38% of the 30- to 49-year-olds, 25% of the 50- to 64-year-olds, and 19% of those age 65 or older have reached the maximum amount of data they are allowed to use as part of their plan, at least on occasion. Suppose the survey was based on 200 smartphone owners in each of the four age groups: 18 to 29, 30 to 49, 50 to 64, and 65+. a. At the 0.05 level of significance, is there evidence of a differ-ence among the age groups in the proportion of smartphone owners who have reached the maximum amount of data they are allowed to use as part of their plan, at least on occasion? b. Determine the p-value in (a) and interpret its meaning. c. If appropriate, use the Marascuilo procedure and a=0.05 to determine which age groups differ.