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Capital investment evaluation for the multinational firm

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  • Fourcans, Andre
  • Hindelang, Thomas J

Abstract

In their profit-seeking activities, multinational corporations have global opportunities to evaluate as well as increased risks and complexities to contend with. Hence, there is a significant need for the development of robust models to handle the new dimensions faced by firms functioning in an international environment. Particularly, in capital budgeting where decisions are made regarding the long-run livelihood and performance of the firm, it is essential to analyze carefully and to reflect adequately all of the critical variables. The great number of relevant variables, their significant interrelationships, and the high degree of uncertainty render mathematical optimization models extremely complex or infeasible to solve within reasonable computer memory or time limitations. To overcome these shortcomings and to arrive at an economically rational treatment of the capital budgeting problem, 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.

Suggested Citation

  • Fourcans, Andre & Hindelang, Thomas J, 1975. "Capital investment evaluation for the multinational firm," Omega, Elsevier, vol. 3(6), pages 689-697, December.
  • Handle: RePEc:eee:jomega:v:3:y:1975:i:6:p:689-697
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    Cited by:

    1. Rideout, Vincent C., 1981. "The modeling of socio-economic-resource systems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 23(2), pages 111-126.

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