By using one of the common stock probability distribution methods of statistical calculations, an investor may determine the likelihood of profits from a holding.

This paper describes and discusses graphical techniques, based on the primitive empirical cumulative distribution function and on quantile (Q - Q) plots, percent (P - P) plots and hybrids of these, ...

Probability density function is a statistical expression defining the likelihood of a series of outcomes for a continuous variable, such as a stock or ETF return.

In standard saddlepoint approximations to the cumulative distribution function of a random variable, the normal distribution has appeared to play a special role. In this article we consider what ...