Stock Market, Time Series Analysis, Time Series Forecasting, Python, Monte Carlo.
columns=dfreturns.columns ____singlesample=pd.DataFrame(dfreturns.values[np.random.randint(len(dfreturns), size=1)], columns=columns) return singlesample def bootstrapforecast(dfreturns,T): columnlist=dfreturns.columns X=[] for i in range(0,T):