Answer:
Discounted Cash Flow Valuation (General Mills, Inc- Chapter 4):
a. Detecting the level of free cash flow after 2009:
The relevant table mainly helps in identifying the free cash flow of the organisation, which is essential in detecting its actual value per share (Cinelli, Coles and Kirwan 2014). Furthermore, the value per share of the organisation is detected to be at $32.83, which is derived after detecting equity value of the organisation.
b. Stating that Free cash flow will grow at the rate of 3% after 2009:
The above tables mainly represent the overall value per share of the organisation, when relevant 3% growth is obtained. The growth in value per share from $32.89 to $51.86 is mainly seen, which was conducted due to the growth obtained by the company.
Free Cash Flow (Kimberly-Clark Corporation - Chapter 11):
a. Calculating the Free cash with the help of Method 1 and Method 2, where net pay out to shareholders were given in 2007:
The relevant detection of Free cash flow and Net pay out to shareholders is detected to be around $1,563.9 and $3,405.9. In addition, both method 1 and method 2 is mainly conducted in the above tables, which represents the firm value.
b. Detecting free cash flow of the company with reported numbers:
The table mainly helps in identifying the free cash flow of the organisation, which is detected from reported number of Kimberly-Clark Corporation. Furthermore, the company is mainly generating a free cash flow of $1,725.52 for the current fiscal year (Fleisher and Bensoussan 2015).
Reference and Bibliography:
Cinelli, M., Coles, S.R. and Kirwan, K., 2014. Analysis of the potentials of multi criteria decision analysis methods to conduct sustainability assessment. Ecological Indicators, 46, pp.138-148.
Fleisher, C.S. and Bensoussan, B.E., 2015. Business and competitive analysis: effective application of new and classic methods. FT Press.
Isard, W., Azis, I.J., Drennan, M.P., Miller, R.E., Saltzman, S. and Thorbecke, E., 2017. Methods of interregional and regional analysis. Taylor & Francis.
Kou, G., Peng, Y. and Wang, G., 2014. Evaluation of clustering algorithms for financial risk analysis using MCDM methods. Information Sciences, 275, pp.1-12.
Ott, R.L. and Longnecker, M.T., 2015. An introduction to statistical methods and data analysis. Nelson Education.
Rigamonti, L., Ferreira, S., Grosso, M. and Marques, R.C., 2015. Economic-financial analysis of the Italian packaging waste management system from a local authority's perspective. Journal of Cleaner Production, 87, pp.533-541.
Shouman, E.R., El Shenawy, E.T. and Khattab, N.M., 2016. Market financial analysis and cost performance for photovoltaic technology through international and national perspective with case study for Egypt. Renewable and Sustainable Energy Reviews, 57, pp.540-549.
Vogel, H.L., 2014. Entertainment industry economics: A guide for financial analysis. Cambridge University Press.
