  I propose a new terminology, international trade strength, which is defined
as the ratio of a country's total international trade to its GDP. This
parameter represents a country's ability to generate international trade by
utilizing its GDP. This figure is equivalent to GDP per capita, which
represents a country's ability to use its population to generate GDP. Trade
strength varies by country. The intriguing question is, what distribution
function does the trade strength fulfill? In this paper, a theoretical
foundation for predicting the distribution of trade strength and the rate of
change of trade strength were developed. These two quantities were found to
satisfy the Pareto distribution function. The equations were confirmed using
data from the World Integrated Trade Solution (WITS) and the World Bank by
comparing the Akaike Information Criterion (AIC) and Bayesian Information
Criterion (BIC) to five types of distribution functions (exponential,
lognormal, gamma, Pareto, and Weibull). I also discovered that the fitting
Pareto power parameter is fairly close to the theoretical parameter. In
addition, a formula for forecasting a country's total international trade in
the following years was also developed.
