Consider the following payoff table. States of Nature Alternatives A Alternative 1 100 150 Alternative 2 200 100 Probability 0.4 0.6 What is the most you would pay for a highly reliable forecast? O 170 30 O 40 O 100 O 10
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- Consider the following information: Income to the firm from workers who sell door-to-door Bad Luck Good Luck Low Effort (e = 0) $5,000 $7,000 High Effort (e = 1) $7,000 $13,000 Cost of effort: c = $2500e Probabilities: Bad luck = .75; Good luck = .25 Under which of the following payment schemes would workers have an incentive to exert high effort?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 10Dave Fletcher, the general manager of North Carolina Engineering Corporation (NCEC), thinks that his firm’s engineer-ing services contracted to highway construction firms are directly related to the volume of highway construction business contractedwith companies in his geographic area. He wonders if this is reallyso, and if it is, can this information help him plan his operationsbetter by forecasting the quantity of his engineering servicesrequired by construction firms in each quarter of the year? Thefollowing table presents the sales of his services and total amountsof contracts for highway construction over the past eight quarters: a) Using this data, develop a regression equation for predictingthe level of demand of NCEC’s services. b) Determine the coefficient of correlation and the standard errorof the estimate.
- 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 TexasConsider the following payoff matrix.Use the following two tables to answer questions a. - e. a. Which of the above securities cannot lie on the efficient frontier? b. Why might you nonetheless include it in your portfolio? c. What is the expected return for a portfolio comprised of 40% security B and 60% security C? d. What is the standard deviation for a portfolio comprised of 40% security B and 60% security C? e. Suppose a risk-free asset with a yield of 3% exists, but only for lending. Would the highly risk-averse investor's optimal portfolio be likely to contain asset C? Why or why not?
- The stock numbers I chose - S&P 500: 4105.02 - Russell 2000: 1754.46 - NYSE Composite: 15379.13 - Barron's 400: 908.65 - CBOE Volatility: 18.40 - DJIA Futures: 33687 - DJIA: 33485.29 - Nasdaq Composite: 12087.97Bartman Industries' and Reynolds Inc.'s stock prices and dividends, along with the Winslow 5000 Index, are shown here for the period 2015-2020. The Winslow 5000 data are adjusted to include dividends. Data as given in the problem are shown below: Bartman Industries Reynolds Inc. Winslow 5000 Year Stock Price Dividend Holding period return Stock Price Dividend Holding period return Includes Divs. Holding period return 2020 $17.25 $1.15 24.75% $48.75 $3.00 -1.05% 11,663.98 32.76% 2019 14.75 1.06 -4.18% 52.30 2.90 13.23% 8,785.70 1.22% 2018 16.50 1.00 62.79% 48.75 2.75 -10.04% 8,679.98 34.91% 2017 10.75 0.95 2.90% 57.25 2.50 -0.42% 6,434.03 14.85% 2016 11.37 0.90 61.02% 60.00 2.25 11.66% 5,602.28 19.05% 2015 7.62 55.75 4,705.97 Assume the risk-free rate on long-term Treasury bonds is 6.04%. Assume also that the average annual return on the Winslow 5000 is 11% as the expected return on the market. Use the SML equation (i.e., CAPM) to…The following data were taken from Miller Company's balance sheet: Dec. 31, Year 2 Dec. 31, Year 1 Total liabilities $150,000 $105,000 Total stockholders' equity 75,000 60,000 a. Compute the ratio of liabilities to stockholders' equity. Round your answers to one decimal place. Liabilities toStockholders' Equity 12/31/Year 2: fill in the blank 1 12/31/Year 1: fill in the blank 2 b. Has the creditors' risk increased or decreased from December 31, Year 1, to December 31, Year 2?
- The following payoff table provides profits based on various possible decision alternatives and various levels of demand. ALTERNATIVE DEMAND LOW MEDIUM HIGH Alternative 1 40 80 150 Alternative 2 80 120 130 Alternative 3 100 100 100 a. Which alternative would a pessimist choose? b. Which alternative would an optimist choose? c. Which alternative should be chosen using the Hurwicz decision criterion with α = 0.4?At the Acme Cement Company, employeescontribute to a welfare fund at the rate of 4% ofthe first $1000 earned, 3% of the next $1000,2% of the next $1000, and 1% of any additionalincome. What will Mr. Morris contribute in ayear in which he earns $20,000?There is some evidence that, in the years−198185, a simple name change resulted in a short-term increase in the price of certain business firms' stocks (relative to the prices of similar stocks). (See D. Horsky and P. Swyngedouw, "Does it pay to change your company's name? A stock market perspective," Marketing Science v. 6, pp.−32035,1987.) Suppose that, to test the profitability of name changes in the more recent market (the past five years), we analyze the stock prices of a large sample of corporations shortly after they changed names, and we find that the mean relative increase in stock price was about 0.86 %, with a standard deviation of 0.10%. Suppose that this mean and standard deviation apply to the population of all companies that changed names during the past five years. Complete the following statements about the distribution of relative increases in stock price for all companies that changed names during the past five years. According to Chebyshev's theorem, at least 84%…