Macroaxis considers Teva Pharmaceutical to be not too risky. Teva Pharmaceutical
owns Efficiency Ratio (i.e. Sharpe Ratio) of -0.3341 which indicates Teva Pharmaceutical
had -0.3341% of return per unit of risk over the last 1 month. Macroaxis philosophy towards measuring 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
. Teva Pharmaceutical Industries Limited exposes twenty-one different technical indicators
which can help you to evaluate volatility that cannot be diversified away. Please be advised to validate Teva Pharmaceutical Coefficient Of Variation
of 604.84 and Risk Adjusted Performance of 0.16 to confirm risk estimate we provide. Macroaxis gives Teva Pharmaceutical performance score of 0 on a scale of 0 to 100. The entity has beta of -0.4696 which indicates as returns on market increase, returns on owning Teva Pharmaceutical are expected to decrease at a much smaller rate. During bear market, Teva Pharmaceutical is likely to outperform the market.. Even though it is essential to pay attention to Teva Pharmaceutical current price movements, it is always good to be careful when utilizing equity historical returns. Macroaxis philosophy towards measuring 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. Teva Pharmaceutical Industries Limited exposes twenty-one different technical indicators which can help you to evaluate its performance. Teva Pharmaceutical has expected return of -0.6655%. Please be advised to validate Teva Pharmaceutical Semi Deviation, Coefficient Of Variation and the relationship between Mean Deviation and Downside Deviation to decide if Teva Pharmaceutical past performance will be repeated at some point in the near future.
|15 days auto-correlation|| 0.93 |
Teva Pharmaceutical Industries Limited has excellent predictability. Overlapping area represents the amount of predictability between Teva Pharmaceutical time series from September 15, 2018 to September 30, 2018 and September 30, 2018 to October 15, 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 Teva Pharmaceutical price movement. The serial correlation of 0.93 indicates that approximately 93.0% of current Teva Pharmaceutical price fluctuation can be explain by its past prices.
|Spearman Rank Test||0.55|