Mpa 104 : Management Assessment Answer
MAS5621
Management Assignment:
1. Outline the companies’ mission, objectives, strategic priorities, and operations.
2. Conduct the trend analysis of the following profitability measure for ten years for both the companies:
1) Return on assets
2) Return on investment
3) Return on equity
4) Gross profit margin
5) Net profit margin
Graphically present the profitability measures.
3. Analyse the companies’ financial performance using the above profitability measures. Your analysis and discussion should explain how the companies have either succeed or failed to strength their financial position over the 10-year period you have examined.
4. Compare the overall financial position of the two companies.
PART B: Statistics
1. Graphically present and discuss the following variables from the financial statements of your selected companies.
1) Sales (net)
2)Costs of Goods sold
3) Net Profit After Tax (NPAT)
4) Total Assets
5) Total Liabilities
2. Compute the Measures of Central Tendency over the ten-year period for the following variables from the financial statements of your selected companies.
1)Sales (net)
2) Costs of Goods sold
3) Net Profit After Tax (NPAT)
4)Total Assets
5)Total Liabilities
Discuss the descriptive statistics of these variables.
3. Estimate and interpret the correlation coefficients between the following pairs of variables.
1) Sales and Costs of Goods Sold
2) Sales and NPAT
3) Sales and Total Assets
4) Sales and Total Liabilities
5) Sales and Owners’ Equity
4. Estimate and Interpret the Least Square Regression equation of net profits on sales. Use the net profit as the dependent variable and sales as the independent variable.
5. Estimate and interpret the time series equation for the following variables from the financial statements of your selected company.
1) Sales (net)
2) Costs of Goods sold
3)Net Profit After Tax (NPAT)
4)Taxes (Either provisional or actual)
5) Total Assets
6)Total Liabilities
7) Owners' Equity
Use each of the above as the dependent variable and year as the independent variable. Estimate the forecasted value for each of the variables over 2 years from the actual figure.
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