Markov Chains, Markov Process, Python, Discrete Time Markov, Probability.
increasing Acme’s previous day’s closing price by a random percentage in the interval [0.0%, 2.0%]. Map the -1 Markov state to reducing Acme’s previous day’s closing price by a similar random percentage in the interval [0.0%, 2.0%]. At each time step t, calculate the state probability distribution