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Using the WACC methodology to improve the assessment of projects in the french farming industry. Empirical evidences from farm's results of Isère

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par Anaël BIBARD
Grenoble Graduate School of Business - MBA 2012
  

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Table of Illustrations

Table 1: Subsidies and recurring net profit before tax in France per farm, in K€Source: FADN (RICA) 16 Table 2: Assumptions and recommendations of the 129 books that assume that REP = EEP. Source:

Fernandez 2010 21

Table 3: Equity premiums recommended and used in textbooks. Source: Fernandez 2010 22

Table 4: Historical Equity Premium for the French market 23

Table 5: Historical Equity Premium for small and micro-cap 24

Table 6: Market capitalization effect on the beta for micro-capitalization 26

Table 7: Primary data for the analysis of farms' results in Isère 29

Table 8: Cost of each labor unit per month for the SMIC 30

Table 9: Social security contributions 31

Table 10: Groups of debt level 32

Table 11: Number of companies studied for the Beta estimation. Source: Bloomberg 35

Table 12: Age and gender of the respondents 36

Table 13: answers to question 4, 5 and 6 36

Table 14: Answers of question 7: «how do you choose the discount factors you use?» 37

Table 15: Answers of question8 «what discount factor do you use usually for your customers? (ex given: 11%)» 37 Table 16: Answers of question 9: «If you were proposed a tool to estimate the WACC of the farms of your region to use it as a discount factor, how would you consider this tool?» 37 Table 17: Results of the Mood's median tests summary for ROE by groups of leverage for each years

43

Table 18: Weighted average ROE for all specialization and by years 44

Table 19: Average ROE by specialization and by group 44

Table 20: results of the Mood's median tests summary for ROA by groups of leverage for each years

48

Table 21: Average ROA by specialization and by years 49

Table 22: Average ROA by specialization and by groups 49

Table 23: Calculation of the Beta for the grain specialization (oilseed is considered as grain farming in

France). Source: Bloomberg 51

Table 24: Calculation of the beta for the cattle ranching and farming specialization. Source:

Bloomberg 51

Table 25: Calculation of the beta for poultry and fruits & vegetables Source: Bloomberg 52

Table 26: Summary of the beta for the different specialization and regions Source: Bloomberg 52

Table 27: Characteristic of each specialization in Isère *EBITDA/total annuity 53

Table 28: WACC estimation for each specialization (leverage is based on table 27) 53

Table 29 : WACC estimation for each specialization for group 5 (0 to 20% leverage) 54

Table 30: WACC estimation for each specialization for group 2 (60 to 80% leverage) 54

Table 31: NPV of a refinancing operation to reduce the WACC and increase the wealth of a dairy farm

59

Figure 1: The optimal amount of debt to reduce the company cost of capitalSource: Principles of

Corporate Finance 12

Figure 2: Agricultural production in France, 2010 13

Figure 3: Agricultural production in Isère, 2010 14

Figure 4: The percentage of the EU budget allocated to the CAP Source: Eurostat, in Clipici 2011 15

Figure 5: Historical Development of the CAP Source: Clipici E., 2011 15

Figure 6: CAP spending evolution Source: DG Agri 16

Figure 7: Average asset value per farm by member state 2007 Source: FADN 17

Figure 8: Volatility of the price of wheat after application of Agenda 2000Source: Offre et Demande Agricole 18 Figure 9: Fluctuation of the share of agro-food exports by key countries in the global volume of agrofood exports 18 Figure 10: Moving average (last 5 years) of the REP used or recommended in 150 finance and valuation textbooks. Source: Fernandez 2010 22 Figure 11: Small firm premium (bottom 10% of market cap in US) between 1927-2010. Source:

Damodoran 2010 24

Figure 12: Number of farm for each specialization 30

Figure 13: Region of the CERFRANCE of the respondents 36

Figure 14: histogram of frequency for ROE 38

Figure 15: Histogram of frequency for ROA 39

Figure 16: Box and whisker plots with median notch for ROE by year (means are shown with a red cross) 40 Figure 17: Box and whisker plots with median notch for ROE by specialization (means are shown with a red cross) 40 Figure 18: Median ROE for each year and each group of leverage for dairy* means significantly higher than ** 41

Figure 19 : Median ROE for each year and each group of leverage for grain* means significantly

higher than ** 42

Figure 20: Median ROE for each year and each group of leverage for cattle* means significantly

higher than ** 43 Figure 21 : Box and whisker plots with median notch for ROA by years (means are shown with a red cross) 45 Figure 22 : ROA for each year and each group of leverage for dairy producers* means significantly higher than ** 46 Figure 23: ROA for each year and each group of leverage for grain producers* means significantly higher than ** 47

Figure 24: ROA for each year and each group of leverage for cattle farming* means significantly

higher than ** 48

Appendix 1: Illustration of the database extraction. File name: "extraction 2006_1" 70

Appendix 2: Illustration of the database extraction, balance sheet information. File name: "extraction

2006_2" 71

Appendix 3: Questionnaire 72

Appendix 4: Normality test of the datasets for ROE, extraction from statgraphics 75

Appendix 5: Normality tests of the datasets for ROA, extraction from statgraphics 77

Appendix 6: ROE by year 79

Appendix 7:ROA by year 84

Appendix 8: ROE by groups for dairy production 89

Appendix 9: ROE by groups for cattle specialization 95

Appendix 10: ROE by groups for grain specialization 99

Appendix 11: ROA by groups for dairy specialization 103

Appendix 12: ROA by groups for cattle specialization 107

Appendix 13: ROA by groups for grain specialization 111

Appendix 14: Cost of debt for farms of Isère 115

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