Macroaxis considers T to be not too volatile. T
owns Efficiency Ratio (i.e. Sharpe Ratio) of -0.0804 which indicates T
had -0.0804% 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
. T exposes twenty-one different technical indicators
which can help you to evaluate volatility that cannot be diversified away. Please be advised to validate T Coefficient Of Variation
of 2,384 and Risk Adjusted Performance of 0.01 to confirm risk estimate we provide. Macroaxis gives T performance score of 0 on a scale of 0 to 100. The entity has beta of 0.0 which indicates the returns on MARKET and T are completely uncorrelated. Even though it is essential to pay attention to T 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. T exposes twenty-one different technical indicators which can help you to evaluate its performance. T has expected return of -0.145%. Please be advised to validate T Semi Deviation, Jensen Alpha as well as the relationship between Jensen Alpha and Semi Variance to decide if T past performance will be repeated at some point in the near future.
|15 days auto-correlation||(0.62) |
Very good reverse predictability
T has very good reverse predictability. Overlapping area represents the amount of predictability between T time series from May 24, 2018 to June 8, 2018 and June 8, 2018 to June 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 T price movement. The serial correlation of -0.62 indicates that roughly 62.0% of current T price fluctuation can be explain by its past prices. Given that T has negative autocorrelation for selected time horizon, investors may consider taking a contrarian position regarding future price movement of T for similar time interval.
|Correlation Coefficient|| -0.62|
|Spearman Rank Test|| -0.55|
|Price Variance|| 0.88|
|Lagged Price Variance|| 0.3|