3. Measuring stand-alone risk using realized (historical)data Returns earned over a given time period are called realized returns. Historical data on realized returns is often used to estimate future results. Analysts across companies use realized stock returns to estimate the risk of a stock. Consider the case of Blue Uama Mining Inc. (BLM): Five years of realized returns for BLM are given in the following table. Remember: 1. While BLM was started 40 years ago, its common stock has been publicly traded for the past 25 years. 2. The returns on its equity are calculated as arithmetic returns. 3. The historical returns for BLM for 2014 to 2018 are: Given the preceding data, the average realized return on BLM's stock is The preceding data series represents of BLM's historical returns. Based on this conciusion, the standard deviation of BLM's historical returns is If investors expect the average realized return from 2014 to 2018 on BLM's stock to continue into the future, its coefficient of variation (CV) will be Given the preceding data, the average realized return on BLM's stock is The preceding data series represents historical returns is If investors expect the average realized return from 2014 to 2018 on 81 17.78% Given the preceding data, the averag n BLM's stock is The preceding data series represents of BLM's historical returns. Based on this conclusion, the standard deviation of BLM's historical returns is If investors expect the average realized return from 2014 to 2018 on BLM's stock to continue into the future, its coefficient of variation (CV) will be 0.45 e preceding data, the average realized return on BLM's stock is \begin{tabular}{|l|} \hline 0.52 \\ \hline 0.83 \\ 0.38 \end{tabular} eding data series represents of BLM's historical returns. Based on this conclusion, the standard deviation of BLM's returns is brs expect the average realized return from 2014 to 2018 on BLM's stock to colitinue into the future, its coefficient of variation (CV) will be