Comment by SukadarBukadar

How is it useful when the underlying distribution is unknown, specially if it likely isn't stationary? For example, when doing such retirement portfolio projections or testing stock market trading rules, how do we know that the simulations we took into account are representative of what could have happened? Maybe some paths were unreachable and some underrepresented...