Macroaxis considers CA to be not too volatile. CA
secures Sharpe Ratio (or Efficiency) of -0.0053 which signifies that CA
had -0.0053% of return per unit of standard deviation over the last 2 months. Macroaxis philosophy in foreseeing risk of any stock is to look at both systematic and un-systematic factors of the business, including all available market data and technical indicators
. CA exposes twenty-one different technical indicators
which can help you to evaluate volatility that cannot be diversified away. Please be advised to confirm CA Mean Deviation
of 1.03 and Risk Adjusted Performance
of 0.046323 to double-check risk estimate we provide. Macroaxis gives CA performance score of 0 on a scale of 0 to 100. The firm shows Beta (market volatility) of 0.1177 which signifies that as returns on market increase, CA returns are expected to increase less than the market. However during bear market, the loss on holding CA will be expected to be smaller as well.. Even though it is essential to pay attention to CA historical returns, it is always good to be careful when utilizing equity current trending patterns. Macroaxis philosophy in foreseeing future performance of any stock is to check both, its past performance charts as well as the business as a whole, including all available technical indicators. CA exposes twenty-one different technical indicators which can help you to evaluate its performance. CA has expected return of -0.0078%. Please be advised to confirm CA Variance, Maximum Drawdown and the relationship between Coefficient Of Variation and Jensen Alpha to decide if CA past performance will be repeated at some point in the near future.
|15 days auto-correlation|| 0.36 |
Below average predictability
CA has below average predictability. Overlapping area represents the amount of predictability between CA time series from February 22, 2018 to March 24, 2018 and March 24, 2018 to April 23, 2018. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of CA price movement. The serial correlation of 0.36 indicates that just about 36.0% of current CA price fluctuation can be explain by its past prices.
|Correlation Coefficient|| 0.36|
|Spearman Rank Test|| 0.27|
|Price Variance|| 0.49|
|Lagged Price Variance|| 0.31|