More than twenty years ago the portfolio selection problem was stated as a parametric quadratic programming problem [3]. Since that time there has been an ongoing search for methods that would allow reductions in both the data and the computational effort required to implement the Markowitz formulation. Markowitz himself developed a special algorithm for the problem [4] Sharpe followed with his famous diagonal model [6], a linear programming approximation for the special case of mutual funds [7], and a linear programming approximation for the general problem [0]. And during this period there were substantial advances in quadratic programming computer codes. A very fast code is now widely available [1], but the size of the code itself (a listing of the annotated program runs to more than 3, 000 lines) makes its everyday use for portfolio selection somewhat unattractive.

In the evaluation of investment opportunities risk is often a primary consideration. Risk is usually not a factor of such importance, however, in the evaluation of borrowing opportunities. But when the borrowing opportunities include the borrowing of foreign currencies, then the possibility of exchange rate fluctuations during the loan period may introduce a significant component of risk. It is our purpose to develop a method for evaluating and selecting international borrowing sources in the face of exchange rate uncertainties.