Digirad Backtested Returns
Macroaxis considers Digirad to be unusually risky. Digirad
secures Sharpe Ratio (or Efficiency) of -0.1462 which denotes Digirad
had -0.1462% of return per unit of risk over the last 1 month. Macroaxis philosophy towards predicting 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
. Digirad Corporation exposes twenty-one different technical indicators
which can help you to evaluate volatility that cannot be diversified away. Please be advised to confirm Digirad Coefficient Of Variation
of (575.59) and Mean Deviation of 1.85 to check risk estimate we provide. Macroaxis gives Digirad performance score of 0 on a scale of 0 to 100. The firm shows Beta (market volatility) of 0.8031 which denotes to the fact that as returns on market increase, Digirad returns are expected to increase less than the market. However during bear market, the loss on holding Digirad will be expected to be smaller as well.. Even though it is essential to pay attention to Digirad historical returns, it is always good to be careful when utilizing equity current trending patterns. Macroaxis philosophy towards predicting 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. Digirad Corporation exposes twenty-one different technical indicators which can help you to evaluate its performance. Digirad has expected return of -0.3911%. Please be advised to confirm Digirad Coefficient Of Variation, Maximum Drawdown, Skewness, as well as the relationship between Information Ratio and Downside Variance to decide if Digirad past performance will be repeated at some point in the near future.
|15 days auto-correlation|| 0.42 |
Digirad Corporation has average predictability. Overlapping area represents the amount of predictability between Digirad time series from November 17, 2017 to December 2, 2017 and December 2, 2017 to December 17, 2017. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Digirad price movement. The serial correlation of 0.42 indicates that just about 42.0% of current Digirad price fluctuation can be explain by its past prices.
|Correlation Coefficient|| 0.42|
|Spearman Rank Test|| 0.43|
|Lagged Price Variance|| 0.01|
|Average Price|| 2.34|
Digirad Lagged Returns