Stock Market, Time Series Analysis, Time Series Forecasting, Python, Monte Carlo.
sampling with replacement behaviour using numpy’s random.randint to ‘choose’ a random timestamp to extract the historical log returns from. This is then done repeatedly to create a sequence of random log returns to build up the forecast. def bootstrap_w_replc_singleval(dfreturns):