André Fourcans
ABSTRACT
The rapid growth of multinational corporations has hastened the need for the development of robust models to handle the increased risk and complexity. Particularly in capital budgeting, careful analysis and adequate reflection of the critical variables are essential. The great number of relevant variables, their significant interrelationships, and the high degree of uncertainty render mathematical models highly complex or infeasible to solve. To overcome these shortcomings, a “Hertz-type” simulation model is formulated for the multinational firm. The important international variables—foreign exchange rates, foreign tax methodology, host government controls, and other social, economic, and political factors—are reflected in the model. A two stage approach is utilized: first, investment projects are analyzed by the subsidiary and if they pass this first screening they are proposed for the parent's consideration; second, the parent evaluates the attractiveness of projects from its point of view and ranks proposals for acceptance considering all global opportunities. The model is designed so that sensitivity analysis can be easily performed.
- 1.Bierman, H. and S. Smidt, The Capital Budgeting Decision 3rd Edition (N.Y.: Macmillan Co., 1971).Google Scholar
- 2.Byrne, R., A. Charnes, W. Cooper, K. Kortenek, "A Chance Constrained Programming Approach to Capital Budgeting," Journal of Financial & Quantitative Analysis (Dec., 1967), pp. 339-64.Google Scholar
- 3.Byrne, R., A. Charnes, W. Cooper, K. Kortenek, "A Discrete Probability Chance Constrained Capital Budgeting Model I," Opsearch, (Dec., 1969), pp. 171-98.Google Scholar
- 4.Byrne, R., A. Charnes, W. Cooper, K. Kortenek, "A Discrete Probability Chance Constrained Capital Budgeting Model II," Opsearch, (Dec., 1969), pp. 226-61.Google Scholar
- 5.Chambers, J., S, Mullock, and D. Smith, "The Use of Simulation Models at Corning Glass Works," in Corporate Simulation Models, Ed. by A. Schrieber.Google Scholar
- 6.Cohen, K., and E. Elton, "Inter-Temporal Portfolio Analysis Based on a Simulation of Joint Returns," Management Science,. (Sept., 1967), pp. 5-18.Google Scholar
- 7.Dickson, G.W., J.J. Mauriel, and J.C. Anderson, "Computer Assisted Planning Models: A Functional Analysis," in A.N. Schrieber ed. Corporate Simulation Models, (Seattle, Wash.: College on Simulation & Gaming, 1970), pp. 43-70.Google Scholar
- 8.Dunlop, Harbism, C. Kerr, and C. Meyers, Industrialism and Industrial Man, (Cambridge: Harvard University Press, 1960).Google Scholar
- 9.Einzig, P., Foreign Exchange Crises, (N.Y.: Macmillan Co., 1970).Google Scholar
- 10.Farrer, D.F., The Investment Decision Under Uncertainty, (Englewood Cliffs, N.J.: Prentice-Hall, 1962).Google Scholar
- 11.Feierbend, I., "Conflict, Crisis, and Collision: A Study of International Stability," Psychology Today, (May, 1968).Google Scholar
- 12.Friedman, Kalmanoff and Wolfgang, Joint International Business Ventures, (N.Y.: Columbia University Press, 1961).Google Scholar
- 13.Glover, F., "The Knapsack Problem: Some Relations for an Improved Algorithm," Management Science Research Report No. 38, (1965).Google Scholar
- 14.Haberler, G., Inflation: Its Causes and Cures, (American Enterprises Institute, Washington, D.C., July, 1966).Google Scholar
- 15.Harbison, F., and Meyers, C., Education, Manpower, and Economic Growth, (N.Y.: MacGraw Hill, 1966).Google Scholar
- 16.Hertz, D.B., "Risk Analysis in Capital Investment," Harvard Business Review, (Jan., 1964), pp. 95-106.Google Scholar
- 17.Hertz, D.B., "Investment Policies That Pay Off," Harvard Business Review, (Jan., 1968).Google Scholar
- 18.Hillier, F.S., "Derivation of Probabilistic Information for the Evaluation of Risky Investments," Management Science, (April, 1963), pp. 443-457.Google Scholar
- 19.Johnson, R.W., Capital Budgeting, (Wadsworth Publishing Co., Belmont, California, 1970).Google Scholar
- 20.Kleijnen, J.P.C., T.H. Naylor, and T.G. Seaks, "The Use of Multiple Ranking Procedures to Analyze Simulations of Management Systems," Management Science (Feb., 1972), pp. 245-57.Google Scholar
- 21.Merville, L.J., An Investment Decision Model for the Multinational Firm: A Chance-Constrained Programming Approach, Unpublished Ph.D. dissertation, University of Texas at Austin, 1971.Google Scholar
- 22.Naslund, B., "A Model of Capital Budgeting Under Risk," Journal of Business, (April, 1966), pp. 257-271.Google Scholar
- 23.Naylor, T.H., Computer Simulation Experiments with Models of Economic Systems, (N.Y.: Wiley & Sons, 1971).Google Scholar
- 24.Naylor, T.H., ed., The Design of Computer Simulation Experiments (Durham, N.C.: Duke University Press, 1969).Google Scholar
- 25.Nemhausser, G.L., Introduction to Dynamic Programming, (N.Y.: Wiley & Sons, 66).Google Scholar
- 26.Ness, D., and H.M. Weingartner, "Methods for the Solution of the Multi-Dimensional 0/1 Knapsack Problem," Operations Research (Jan.-Feb., 1967).Google Scholar
- 27.Robichek, A., and S. Myers, Optimal Financing Decisions, (Englewood Cliffs, N.J.: Prentice-Hall, 1965).Google Scholar
- 28.Salazar, R.C., and S.K. Sen, "A Simulation of Capital Budgeting Under Uncertainty," Management Science, (Dec., 1968), pp. 161-179.Google Scholar
- 29.Singer, H.W., International Development: Growths and Change, (N.Y.: McGraw Hill, 1964).Google Scholar
- 30.Truitt, J.F., "Expropriation of Private Foreign Investment: A Framework to Consider the Post World War II Experience of British and American Investors," (Dissertation, Indiana University).Google Scholar
- 31.Van Horne, James C., Financial Management and Policy, (Englewood Cliffs, N.J.: Prentice-Hall, Inc., 1971).Google Scholar
- 32.Van Horn, R.L., "Validation of Simulation Results," Management Science, (Jan., 1971), pp. 247-58.Google Scholar
- 33.Weston, J.F., and E.F. Brigham, Managerial Finance, 4th education (N.Y.: Holt, Rinehart, Winston, 1972).Google Scholar
- 34.Zenoff, D. and W. Zwick, International Finance, (Englewood Cliffs, N.J.: Prentice-Hall, Inc., 1969).Google Scholar
Index Terms
- Multinational capital budgeting: A simulation model
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