Macroaxis considers iShares Short to be not too risky. iShares Short Maturity
shows Sharpe Ratio of -0.2129 which attests that iShares Short Maturity
had -0.2129% of return per unit of risk over the last 2 months. Macroaxis philosophy towards determining 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
. iShares Short Maturity exposes twenty-eight different technical indicators
which can help you to evaluate volatility that cannot be diversified away. Please be advised to check out iShares Short Maturity Market Risk Adjusted Performance
of 6.14 and Mean Deviation
of 0.0294 to validate risk estimate we provide. The entity maintains market beta of -0.0033 which attests that as returns on market increase, returns on owning iShares Short are expected to decrease at a much smaller rate. During bear market, iShares Short is likely to outperform the market.. Even though it is essential to pay attention to iShares Short Maturity
historical price patterns
, it is always good to be careful when utilizing equity current price history. Macroaxis philosophy towards determining 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
. iShares Short Maturity exposes twenty-eight different technical indicators which can help you to evaluate its performance.
|15 days auto-correlation|| 0.81 |
Very good predictability
iShares Short Maturity Bond ETF has very good predictability. Overlapping area represents the amount of predictability between iShares Short time series from October 13, 2018 to November 12, 2018 and November 12, 2018 to December 12, 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 iShares Short Maturity price movement. The serial correlation of 0.81 indicates that around 81.0% of current iShares Short price fluctuation can be explain by its past prices.
|Spearman Rank Test||0.74|