
Applying Hidden Markov Models to Sustainable Finance: Part 1 – A Simplified Stock Market Example with Python
A Hidden Markov Model (HMM) is a statistical model widely used in scenarios where the observed data are generated by an underlying, unobserved (hidden) sequence of states that follow a Markov process. It’s extensively applied in fields like finance, biology, speech recognition, and economics. Continue reading Applying Hidden Markov Models to Sustainable Finance: Part 1 – A Simplified Stock Market Example with Python