Investing using Python: Bayes theorem in simple words and Bayesian expected returns estimation using Python

Problem with expected return, most often referred as or for geometric returns is that we never can be sure our belief about average return would perform as well in the future. Most often they don't. Markets are noisy, markets can change their behavior, like we can see with Hidden Markov Models, parameters change over time. We […]