According to MM Model, total value of firm is Decreases with the decreases in WACC Constant None of the above Increases with the decresase in WACC Increases with the increase in WACC
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- Let’s suppose that you have a set of time-series variables, and you want to model the relationship between them. Read the situations given below and answer the questions. (200 words)a) Explain the statistical test if the linear combination (of time-series variables) is I(0).b) Which statistical test can be applied if all the series are integrated of the same order I(1). Justify your answerA carpenter is making doors that are 2058 millimeters tall. If the doors are too long they must be trimmed, and if they are too short they cannot be used. A sample of 13 doors is made, and it is found that they have a mean of 2043 millimeters with a variance of 1024. Is there evidence at the 0.025 level that the doors are too short and unusable? State the null and alternative hypotheses for the above scenario.If X1, X2, ... , Xn constitute a random sample from apopulation with the mean μ, what condition must beimposed on the constants a1, a2, ... , an so thata1X1 + a2X2 +···+ anXnis an unbiased estimator of μ?
- Show that if ˆ is an unbiased estimator of θ andvar()ˆ Z 0, then ˆ 2 is not an unbiased estimator of θ 2.What is NOT true about normal distribution? We can expect approximately 99.7% of the possible outcomes to fall within three standard deviations above and below the mean We can expect approximately half of the possible outcomes to be positive and half to be negative We can expect approximately 95% of the possible outcomes to fall within two standard deviations above and below the mean It is completely defined by two numbers: mean and standard deviation It is bell shaped and symmetricThe third variable introduced into a cross tabulation to better understand a statistically significant relationship between two other variables is the _____. Multiple Choice moderating variable None of these choices is correct. control variable contingency variable marginal variable
- Dilberts Department Store is trying to determine how many Hanson T-shirts to order. Currently the shirts are sold for 21, but at later dates the shirts will be offered at a 10% discount, then a 20% discount, then a 40% discount, then a 50% discount, and finally a 60% discount. Demand at the full price of 21 is believed to be normally distributed with mean 1800 and standard deviation 360. Demand at various discounts is assumed to be a multiple of full-price demand. These multiples, for discounts of 10%, 20%, 40%, 50%, and 60% are, respectively, 0.4, 0.7, 1.1, 2, and 50. For example, if full-price demand is 2500, then at a 10% discount customers would be willing to buy 1000 T-shirts. The unit cost of purchasing T-shirts depends on the number of T-shirts ordered, as shown in the file P10_36.xlsx. Use simulation to determine how many T-shirts the company should order. Model the problem so that the company first orders some quantity of T-shirts, then discounts deeper and deeper, as necessary, to sell all of the shirts.Use Excels functions (not @RISK) to generate 1000 random numbers from a normal distribution with mean 100 and standard deviation 10. Then freeze these random numbers. a. Calculate the mean and standard deviation of these random numbers. Are they approximately what you would expect? b. What fraction of these random numbers are within k standard deviations of the mean? Answer for k = 1; for k = 2; for k = 3. Are the answers close to what they should be (about 68% for k = 1, about 95% for k = 2, and over 99% for k = 3)? c. Create a histogram of the random numbers using about 10 bins of your choice. Does this histogram have approximately the shape you would expect?A) Why is the conditional variance a good measure of uncertainty? B) Outline the GARCH model and GARCH-M model. C) Outline one of the extensions to the basic GARCH family of models
- Explain or define each of these terms:a. Laplace criterionb. Minimax regretc. Expected valued. Expected value of perfect informationCompare and contrast the SCOR model to the PCF model.USING EXCEL SOLVER Check the image for clarification Q&H Company advertises during soap operas and football games. Each soap opera ad costs $75,000, and each football game ad costs $130,000. If S soap opera ads are purchased, they will be seen by 4S^1/2 million men and 22S^1/2 million women. If F football ads are purchased, they will be seen by 28F^1/2 million men and 10F^1/2 million women. The company wants at least 60 million men and at least 50 million women to see its ads. Determine how to minimize Q&H’s cost of reaching the required number of viewers. *Please show the equations in the cells