Briefly explain how the mean, standard deviation, coefficient of variation, and skewness can be used to analyze the returns of IBM and Boeing in Table 9.1.

Table 9.1

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Company name 1 3M Co. 2 Alcoa Inc. 3 American Express 4 AT&T 5 Bank of America 6 Boeing 7 Caterpillar Inc 8 Chevron 9 Cisco 10 Coca-Cola 11 E.I. du Pont de Nemours 12 Exxon 13 General Electric 14 Hewlett-Packard 15 Home Depot 16 Intel 17 IBM 18 Johnson & Johnson 19 JPMorgan and Chase 20 Kraft Foods 21 McDonald's 22 Merck 23 Microsoft 24 Pfizer 25 Procter and Gamble Monthly statistical estimates Standard Coefficient of n Mean deviation Skewness Kurtosis variation 0.0019 0.0665 -0.4896 0.549 35.762 120 -0.0211 0.1765 -3.0010 13.522 -8.373 120 0.1616 4.211 -13.032 -1.0458 0.834 11.191 -2.5486 10.608 -6.021 -1.0373 1.596 -26.544 -1.9207 6.756 43.496 -0.7818 0.619 7.168 -0.6297 0.612 -86.495 -0.9161 3.869 5.483 120 -0.0094 0.1230 120 0.0055 0.0616 120 -0.0370 0.2225 120 -0.0036 0.0965 120 0.0029 0.1279 120 0.0087 0.0624 120 -0.0010 0.0892 120 0.0093 0.0510 120 0.0024 0.0872 120 0.0048 0.0520 120 -0.0135 0.1126 120 0.0044 0.0752 120 -0.0028 0.0768 120 -0.0041 0.0855 120 0.0093 0.0603 120 0.0019 0.0443 36.005 10.810 -0.7714 1.938 -0.4104 -0.067 -1.0687 2.134 -1.0900 1.269 -8.322 17.139 -27.759 -0.3816 0.091 -0.9769 0.878 -20.822 -1.6744 5.742 -0.9569 1.848 -0.6226 0.947 120 -0.0016 0.0991 120 0.0030 0.0623 0.0173 0.0461 -1.2024 2.413 120 120 0.0086 0.0778 120 0.0058 0.0802 120 0.0012 0.0638 120 0.0051 0.0489 -0.2755 -0.159 -0.2400 0.473 0.0533 0.482 -0.1491 0.028 -0.3265 0.172 6.494 22.763 -61.561 20.474 2.667 9.049 13.939 51.410 9.660