Macroaxis considers Cooper Companies to be not too risky. The Cooper Companies
secures Sharpe Ratio (or Efficiency) of -0.0701 which signifies that The Cooper Companies
had -0.0701% of return per unit of standard deviation over the last 1 month. 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
. The Cooper Companies exposes twenty-one different technical indicators
which can help you to evaluate volatility that cannot be diversified away. Please be advised to confirm The Cooper Companies Mean Deviation
of 1.04 and Risk Adjusted Performance
of 0.030297 to double-check risk estimate we provide. Macroaxis gives Cooper Companies performance score of 0 on a scale of 0 to 100. The firm shows Beta (market volatility) of 0.6065 which signifies that as returns on market increase, Cooper Companies returns are expected to increase less than the market. However during bear market, the loss on holding Cooper Companies will be expected to be smaller as well.. Even though it is essential to pay attention to The Cooper Companies 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. The Cooper Companies exposes twenty-one different technical indicators which can help you to evaluate its performance. The Cooper Companies has expected return of -0.1084%. Please be advised to confirm The Cooper Companies Standard Deviation as well as the relationship between Maximum Drawdown and Expected Short fall to decide if The Cooper Companies past performance will be repeated at some point in the near future.
|15 days auto-correlation||(0.61) |
Very good reverse predictability
The Cooper Companies has very good reverse predictability. Overlapping area represents the amount of predictability between Cooper Companies time series from September 19, 2018 to October 4, 2018 and October 4, 2018 to October 19, 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 The Cooper Companies price movement. The serial correlation of -0.61 indicates that roughly 61.0% of current Cooper Companies price fluctuation can be explain by its past prices. Given that The Cooper Companies has negative autocorrelation for selected time horizon, investors may consider taking a contrarian position regarding future price movement of Cooper Companies for similar time interval.
|Spearman Rank Test||-0.37|