Table 1

Table 2

Table 3

Table 4

Table 1 Profitability Efficiency 52-Week Leverage Information is relevant for the close of trade on Wednesday 02-Jan-2019 High Low ROE PM TATO EM 1. Google (end Q4 2018) 894.58 0.0866 1.1911 1214.16 0.155013 1.5028 Year end 2018 0.131142 0.078 1.1078 1.5177 Lowe's (end Q4 2018) 2. 54.08 35.73 0.166332 0.043 1.8734 2.0648 Year end 2018 0.201762 0.0505 1.9186 2.0824 3. Dick's Sporting Goods (end Q4 2018) 23.92 1.5795 4.4118 67.49 0.376993 0.0541 Year end 2018 0.191622 0.0313 1.3778 4.4434 4. Dillard's (end Q4 2018) 48.91 0.185961 93.33 0.0554 1.67 2.01 Year end 2018 0.0445 2.09 0.146948 1.58 5. Exxon Mobil (end Q4 2018) 96.05 72.16 0.184254 0.086 1.93 1.1101 Year end 2018 0.15632 0.0972 1.61 0.9989 6. Microsoft (end Q4 2018) 48.98 0.359252 27.42 0.2817 1.09 1.17 0.326406 Year end 2018 0.2619 1.21 1.03 2 For ease, assume the volume of trade is equal to the Today is 2-Jan-2019 End of 4th Quarter 2018 Results Table 2 Vol3 Close S*Q Symbol Dillard's (end Q4 2018) 1. 87.3 DDS 576540 50331942 2. Exxon Mobil (end Q4 2018) 92.16 16787758 1547159777 Lowe's (end Q4 2018) 3. LOW 46,29 6714273 4. Microsoft (end Q4 2018) MSFT 37.84 85553718 3237352689 Added Later 3. Google (end Q4 2018) 5487488 GOOG 1180.97 Table 3 T-BILL QUOTATIONS Maturity Bid Asked Chg Asked Yld 1/4/2018 1.015 1.005 -0.005 1.019 1/11/2018 1.005 0.995 -0.025 1.009 1/18/2018 1.09 1.08 -0.033 1.096 1/25/2018 1.168 1.158 0.005 1.176 2/1/2018 1.183 1.173 0.003 1.191 2/8/2018 1.22 1.21 1.2 0.008 2/15/2018 1.21 1.2 0.008 1.22 Table 4 U.S. STOCK INDEXES 52 WEEK DAILY 3-yr % YTD % Chg % Chq Index Divisors High Close Chg High % Chq Low Low Chg Dow Jones DJIA (30) 23836.7 19121.6 0.145233969 23836.71 10.2 23849.61 23617.11 255.93 1.09 20.6 24.7 DJ MidCap (20) 9754.03 10038.1 8783.74 0.16463028 9757.65 9591.59 158,8 1.65 7.9 9.1 2 Nasdaq Stock Market 6912.36 5251.11 Composite 6914.19 6866.21 6912.36 33.84 0.49 28.4 28.5 13 Nasdaq 100 6385.32 0.26 32.1 6422.56 4734.1 14 6426.04 6422.56 16.59 31.8 Standard & Poor's 2627.04 2191.08 500 Index 2627.69 2605.44 2627.04 25.62 0.98 17.3 19.2 8.3 1158.57 966.28 100 Index 1158.89 1149.08 1158.57 11.46 1.00 16.9 19.2 8.1 1880.26 1623.28 MidCap 400 1880.52 1858.88 1880.26 24.15 1.30 13.2 15.3 9.2 SmallCap 600 938.13 15.59 15.1 11.5 923.16 937.77 1.69 11,9 937,77 808.59 New York Stock Exchange 12520.2 10817.7 12409.62 12520.23 Composite 129.45 12523.64 1.04 13.2 15.7 4.6 8020.67 6703.49 Financial 8025.68 7907.09 8020.67 112.2 1.42 15.2 19.6 5,9 Health Care 14364 11568.3 102.64 14209.52 14101.96 14192.05 0.73 19.2 20.8 5.1 10848.57 10785.87 10834.66 Energy 91.71 0.85 -5.8 11769.6 9782.86 1.5 -5.1 Other U.S Indexes Russell 1000 1456,56 1456.84 1442.94 1456.56 13.99 0.97 17.3 1216.06 19 8.2 1536.43 1313.8 Russell 2000 13.2 1536.63 1514.15 1536.43 23.12 1.53 15.7 9.4 Russell 3000 1542.98 1557.9 1557.9 1558.12 15.61 1.01 17 1303.07 18.8 8.3 Value Line 554.77 547.62 554.72 7.1 1.30 9.6 554.72 496.6 11 3.6 F Question 16 Opts A fundamental analyst would most likely argue that bottom fishing is not a good strategy because: (1pt) the additional cost of investing in risky assets must be evaluated. The company's current competitive industry conditions must be evaluated. the entire range of prices over at least 3 years must be studied. O past price movements are already incorporated into the stock price The leveraged inputs must reflect a higher risk/return tradeoff Question 17 Opts A 'bottom fisher' would be more likely to: a) (buy or sell) Exxon (XOM) stock because the b) (Open, High, Low or Close) price is moving toward (not there yet) the (1pt)