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Part 3 Results and Conclusion a) Survey for managers

Respondents are the junior and senior management of finance, accounting, cost accounting, and across-border operations departments of pharmaceutical sector.

Quantity of respondent are 37 persons(direct questioning face to face), respondent from e-mail questioning is 54 persons, respondent from special created group in Russian social set in Internet “vkontacte” 150 persons. The 1 to 17are indicator number (see the interview questions p.76a). The 1 is low level of using the 6 is high.

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2

3

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6

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6

0.5

6

0.5

3

2

6

6

3

3

2

1

2

1

2

1

1

Conclusion

The results are to show that main part of middle management use the indicators that not distinguish the time value of project they don’t use the forecasts cash flow and mainly use the accounting information.

B) Survey for specialist

Respondent are senior and top management of finance, invest, accounting, cost accounting and across-border operations departments of pharmaceutical sector.

Quantity of respondents is 25 person (direct questioning face to face), respondent from e-mail questioning 35 persons. The 1 to 17are indicator number (see the interview questions p.77b). The 1 is low level of using the 6 is high.

1

2

3

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5

6

7

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6

2

2

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2.5

4

1

1

Conclusion

The same situation with senior and top management, but this group has the high level of business education and these results to show high level to use DCF method and information that use the forecasted cash flow. Difficult to say about same performance pyramid of indicator and main decision is made on accounting dares.

C) Survey of experts

Respondent are senior and top management of pharmaceutical company “Zdorovie Ludi”.

Quantity of respondent is 25 persons.

a) Estimation of probability the WACC of the company

Expert’s estimation Optimistic is 0.1226; Most Probable is 0.1338, and Pessimistic is 0.1499

b) Estimation of probability of discount rate which base on MIBOR as risk-free rate in RADR method.

Expert’s estimation Optimistic is 25.275; Most Probable is 25.9880, and Pessimistic is 26.4999

c) Estimation of probability of discount rate which base on WACC as risk-free rate in

RADR method.

Expert’s estimation Optimistic is 23.5171; Most Probable is 24.4988, and Pessimistic is 24.4988

1 Adolf A.Berle, Gardiner C.Means, with a new introduction by Murray L. Weidenbaun & Mark Jensen, “ The Modern Corporation and Private Property”, Ninth printing 2007, Originally published in 1932 by Harcout, Brace & World, Inc..

2 Richard A. Berkley, London Business School, Stewart C. Myers, Massachusetts Institute of Technology, Franklin Allen, University of Pennsylvania, “Corporate Finance” Eighth Edition 2006, McGraw-Hill Irwin, pp.461.

3 William F. Sharpe, Stanford University, Gordon J. Alexander, University of Minnesota, Jeffery V. Bailey, Richards&Tierney Inc., “Investments” Fifth Edition, Prentince Hall International, Inc.,1995,pp.258, 277,325,906.

4 Tom Copeland, Tim Koller, Jack Murrin, “Valuation Measuring&Managing TheValue of companies”, Third Edition, McKinsey&Company, Inc., 2000, pp.256.

5 William F. Sharpe, Stanford University, Gordon J. Alexander, University of Minnesota, Jeffery V. Bailey, “Investment” Fifth Edition, 1995 Prentice Hall, Inc., pp.212,509.

6 Edited by Andy Neely, “business Performance Measurement Unifying Theories and Integrating Practice” Second Edition, Cambridge University Press 2007, pp.14.

7 Richard A. Brealey, London Business School, Stewart C. Myers, Massachusetts Institute of Technology, Franklin Allen, University of Pennsylvania, “Corporate Finance” Eighth Edition, McGraw-Hill Irwin 2006, pp.310-318.

8 Richard A. Brealey, London Business School, Stewart C. Myers, Massachusetts Institute of technology, Franklin Allen, University of Pennsylvania, “Corporate Finance”, Eighth Edition, McGraw-Hill Irwin 2006, pp.121.

9 www.natur-produkt.ru.

10 Michael E. Porter,” Competitive advantage”, 1985, Introduction 1998, The Free Press.

11 Peter S. Pande, Robert P. Neuman, Roland R. Cavanagh, “The six sigma way”, McGraw-Hill, NY

12 www.econ.yale.edu/~shiller

13 George H. Hempel, Southern Methodist University, Donald G. Simonson, University of New Mexico, “Bank Management Text and Cases” Fifth Edition 1999, John Wiley&Sons, Inc.,pp.393,430,456,459.

14 Richard A. Brealey, Stewart C. Myers, Franklin Allen, “Corporate Finance”, Eighth Edition, McGraw-Hill International Edition, pp .88.

15 James C. Van Horne, Stanford University, John M. Vachowicz, Jr.,”Fundamentals of Financial Management”, Eleventh Edition, Prentice Hall, New Jersey, pp. 447.

16 Zvi Bodit, Boston University, Robert K. Merton, Harvard University, “Finance”, Prentice Hall, New Jersey 2000, pp.229.

17 James C. Van Horne, Stanford University, Joho M. Wachowicz, Jr., The University of Tennessee, “Fundamentals of Financial Management”, Prentice Hall Financial Times, An imprint of Pearson Education 2005, pp.37,91.

18 See the Appendix 1-7 Simulation Model and Scenario Analysis calculations.

19 James C. Van Horne, Stanford University, John M. Vachowicz. Jr., The University of Tennessee, “Fundamentals of Financial Management” Eleventh edition 2001, Prentice Hall, Inc., pp.552.

20 W.F. Sharpe, “The Capital Asset Pricing Model: A ‘Multi-Beta’ Interpretation”, in H. Levy and M. Sarnat (eds.), Financial Decision Making under Uncertainty (NY: Academic Press, 1977).

21 Richard A. Brealey, London Business School, Stewart C. Myers, Massachusetts Institute of Technology, Franklin Allaen, University of Pennsylvania , “ Corporate Finance” Eighth Edition, McGraw-Hill Irwin 2006, pp.228.

22 www.prim-tass.ru/currency/rates_interest_history, www.cbr.ru, www.nva.ru/nva/indicators

23 www.glodalfindata.com

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