  Econophysics provides a strategy for understanding the potential mechanisms
underlying the anomalous distribution of wealth found in real societies. We
present a computational nonlinear stochastic model for the distribution of
wealth that depends upon three parameters and two mechanisms: trade and
investment. To avoid economic paradoxes, the trade mechanism is assumed to be
related to the poorer trader's wealth and to statistically advantage the poorer
of the two traders. The two mechanisms together are shown to generate a
distribution that reproduces the full range of the empirical wealth
distribution, and not only the inverse power-law tail that Pareto found in
western societies at the end of the 19th century.
