Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn to assess risk and potential gains.

This column is the fourth in a series on parameter estimation, leading up to the justly famous Kalman filter. The discipline is based on the fact that our knowledge of the state of any real-world ...

Everyone agrees the normal distribution isn't a great statistical model for stock market returns, but no generally accepted alternative has emerged. A bottom-up simulation points to the Laplace ...