def METHOD_NAME(self):
    """Portfolio Metric Submodule
    Attributes:
        `calmar`: Get calmar ratio\n
        `commonsense`: Get common sense ratio\n
        `gaintopain`: Get Pain-to-Gain ratio based on historical data\n
        `information`: Get information ratio\n
        `jensens`: Get jensen's alpha\n
        `kelly`: Get kelly criterion\n
        `kurtosis`: Get kurtosis for portfolio and benchmark selected\n
        `maxdrawdown`: Get maximum drawdown ratio for portfolio and benchmark selected\n
        `payoff`: Get payoff ratio\n
        `profitfactor`: Get profit factor\n
        `rsquare`: Get R2 Score for portfolio and benchmark selected\n
        `sharpe`: Get sharpe ratio for portfolio and benchmark selected\n
        `skew`: Get skewness for portfolio and benchmark selected\n
        `sortino`: Get sortino ratio for portfolio and benchmark selected\n
        `tail`: Get tail ratio\n
        `trackerr`: Get tracking error\n
        `volatility`: Get volatility for portfolio and benchmark selected\n
    """
    return model.PortfolioMetric()