Macroaxis considers ETFS Bloomberg to be not too risky. ETFS Bloomberg All
secures Sharpe Ratio (or Efficiency) of -0.2081 which denotes ETFS Bloomberg All
had -0.2081% of return per unit of return volatility over the last 1 month. Macroaxis approach to predicting risk of any etf is to look at both systematic and un-systematic factors of the business, including all available market data and technical indicators
. ETFS Bloomberg All CmdtyLngrDtdStrtK 1Fr exposes twenty-one different technical indicators
which can help you to evaluate volatility that cannot be diversified away. Please be advised to confirm ETFS Bloomberg All Mean Deviation
of 0.6141 to check risk estimate we provide. The organization shows Beta (market volatility) of -0.1459 which denotes to the fact that as returns on market increase, returns on owning ETFS Bloomberg are expected to decrease at a much smaller rate. During bear market, ETFS Bloomberg is likely to outperform the market.. Even though it is essential to pay attention to ETFS Bloomberg All
historical returns, it is always good to be careful when utilizing equity current trending patterns. Macroaxis approach to predicting future performance of any etf is to check both, its past performance charts as well as the business as a whole, including all available technical indicators
. ETFS Bloomberg All CmdtyLngrDtdStrtK 1Fr exposes twenty-one different technical indicators which can help you to evaluate its performance.
|15 days auto-correlation|| 0.30 |
Below average predictability
ETFS Bloomberg All CmdtyLngrDtdStrtK 1Fr has below average predictability. Overlapping area represents the amount of predictability between ETFS Bloomberg time series from June 22, 2018 to July 7, 2018 and July 7, 2018 to July 22, 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 ETFS Bloomberg All price movement. The serial correlation of 0.3 indicates that nearly 30.0% of current ETFS Bloomberg price fluctuation can be explain by its past prices.
|Correlation Coefficient|| 0.3|
|Spearman Rank Test|| 0.36|
|Price Variance|| 0.1|
|Lagged Price Variance|| 0.02|