You are analyzing the monthly returns of a financial asset over a year to assess its performance. Using NumPy, you compute several statistical measures to understand the asset's risk and return profile. The monthly returns $($in percentages$)$ are stored in a NumPy array as follows:The annualized$\_$volatility is computed as np$.$std$($monthly$\_$returns$)*$ np$.$sqrt$(12).$ What does this measure represent in the analysis of the financial asset?The expected range of annual return variation based on monthly returns, serving as a measure of the asset's risk.The maximum possible loss the asset can pymorions in