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The following table contains monthly returns for Cola Co. and Gas Co. for 2013 (the returns are shown in decimal form, i.e., 0.035 is 3.5%).

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The following table contains monthly returns for Cola Co. and Gas Co. for 2013 (the returns are shown in decimal form, i.e., 0.035 is 3.5%). Using this table and the fact that Cola Co. and Gas Co. have a correlation of - 0.0969, calculate the volatility (standard deviation of a portfolio that is 60% Invested in Cola Co. stock and 40% Invested in Gas Co. stock. Calculate the volatility by: a. Using the formula: Var (R) =wX50 (R,)2 + u SO(R) +2w,w, Corr(R..R3) SD (R.) SD (R3) b. Calculating the monthly returns of the portfolio and computing volatility directly c. How do your results compare? a. Using the formula: Var (R) = w;s0 (R4)2 + w50(R2) +2wqW2 Corr (R4-R2) SO(R1) SO(R2) The volatility (standard deviation) of the portfolio is% (Round to two decimal places.) b. Calculating the monthly returns of the portfolio and computing its volatility directly. The volatitiy (standard deviation) of the portfolio is %. (Round to two decimal places.) c. How do your results compare? (Select the best choice below.) OA. The portfolio volatility calculated using the Var (Rp) formula in part (a) is much smaller than the portfolio volatility calculated used the monthly portfolio retums. OB. The two portfolio volatilities, calculated using the var(R-) formula in part (a) and using the monthly portfolio returns, are the same or almost the same. OC. This cannot be determined from the information given. OD. The portfolio volatility calculated using the Var (Rp) formula in part (a) is much larger than the portfolio volatility calculated used the monthly portfolio returris. Data table (Click on the following icon in order to copy its contents into a spreadsheet.) Month Cola Co. Gas Co. January -0.0210 0.0280 February 0.0000 -0.0050 March -0.0200 -0.0180 April 0.0090 0.0280 May -0.0310 0.0840 June -0.0840 -0.0460 July -0.1190 0.0820 -0.0160 0.0460 August September 0.0550 0.0300 October -0.0110 0.0140 November -0.0380 0.0290 December -0.0220 0.0740 Print Done

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