Macroaxis considers MFS Blended to be not very risky. MFS Blended Research
has Sharpe Ratio of -0.1033 which conveys that MFS Blended Research
had -0.1033% of return per unit of standard deviation over the last 1 month. Macroaxis approach into estimating risk of any fund is to look at both systematic and un-systematic factors of the business, including all available market data and technical indicators
. MFS Blended exposes twenty-one different technical indicators
which can help you to evaluate volatility that cannot be diversified away. Please be advised to verify MFS Blended Research Em Mkts Eq A Market Risk Adjusted Performance
of 0.68, Mean Deviation of 1.38 and Risk Adjusted Performance of 0.048818 to check out risk estimate we provide. The fund secures Beta (Market Risk) of 0.1131 which conveys that as returns on market increase, MFS Blended returns are expected to increase less than the market. However during bear market, the loss on holding MFS Blended will be expected to be smaller as well.. Even though it is essential to pay attention to MFS Blended Research price patterns, it is always good to be careful when utilizing equity historical price patterns. Macroaxis approach into estimating future performance of any fund is to check both, its past performance charts as well as the business as a whole, including all available technical indicators. MFS Blended exposes twenty-one different technical indicators which can help you to evaluate its performance.
|15 days auto-correlation|| 0.18 |
Very weak predictability
MFS Blended Research Em Mkts Eq A has very weak predictability. Overlapping area represents the amount of predictability between MFS Blended time series from October 16, 2018 to October 31, 2018 and October 31, 2018 to November 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 MFS Blended Research price movement. The serial correlation of 0.18 indicates that over 18.0% of current MFS Blended price fluctuation can be explain by its past prices.
|Spearman Rank Test||0.34|