Warnerwoods Company uses a perpetual inventory system. It entered into the following purchases and sales transactions for March.

Date Activities Units Acquired at Cost Units Sold at Retail
Mar. 1 Beginning inventory 200 units @ $53.00 per unit
Mar. 5 Purchase 275 units @ $58.00 per unit
Mar. 9 Sales 360 units @ $88.00 per unit
Mar. 18 Purchase 135 units @ $63.00 per unit
Mar. 25 Purchase 250 units @ $65.00 per unit
Mar. 29 Sales 230 units @ $98.00 per unit
Totals 860 units 590 units

Compute the cost assigned to ending inventory using (a)FIFO, (b)LIFO, (c)weighted average, and (d)specific identification. For specific identification, the March 9 sale consisted of 115 units from beginning inventory and 245 units from the March 5 purchase; the March 29 sale consisted of 95 units from the March 18 purchase and135 units from the March 25 purchase.

Monthly price data for mdltx and ekwax from yahoo finance is contained in the excel spreadsheet for this exercise. there are 37 months of price data for the period from september 2009 to september 2012. (note: these prices already incorporate dividend payments.) the 36 monthly returns for each fund are also provided. calculate average (arithmetic) monthly return and standard deviation for each fund. you can use the excel functions average, stdev to derive these stats. annualize these statistics. use the correl function in excel to derive the correlation coefficient between the two sets of returns. (annual correlation is the same as monthly correlation. hence, no need to annualize this stat.) using the annualized statistics derived in step 1, compute the expected return and standard deviation for portfolios containing from 0% to 100% mdltx (and 100% to 0% ekwax) by 10% increments. graph the resulting portfolios. based on your analysis, is there any potential benefit to diversification across these two funds? explain. of the 11 portfolios you graphed, which are efficient?