Macroaxis considers iShares MSCI very steady given 3 months investment horizon. iShares MSCI EAFE
shows Sharpe Ratio of 0.3987 which attests that the etf had 0.3987% of return per unit of risk over the last 3 months. Our philosophy towards determining volatility of an etf is to use all available market data together with etf specific technical indicators
that cannot be diversified away. We have found twenty-one technical indicators
for iShares MSCI EAFE which you can use to evaluate future volatility of the etf. Please utilize iShares MSCI EAFE Market Risk Adjusted Performance
of (3.97) and Mean Deviation of 0.1048 to validate if our risk estimates are consistent with your expectations. The entity maintains market beta of -0.0124 which attests that as returns on market increase, returns on owning iShares MSCI are expected to decrease at a much smaller rate. During bear market, iShares MSCI is likely to outperform the market. Although it is extremely important to respect iShares MSCI EAFE historical price patterns, it is better to be realistic regarding the information on equity current price history. The philosophy towards determining future performance of any etf is to evaluate the business as a whole together with its past performance including all available fundamental and technical indicators. By examining iShares MSCI EAFE technical indicators you can presently evaluate if the expected return of 0.2091% will be sustainable into the future.
No correlation between past and present
iShares MSCI EAFE Small Cap ETF has no correlation between past and present. Overlapping area represents the amount of predictability between iShares MSCI time series from June 19, 2019 to August 3, 2019 and August 3, 2019 to September 17, 2019. 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 MSCI EAFE price movement. The serial correlation of 0.0 indicates that just 0.0% of current iShares MSCI price fluctuation can be explain by its past prices.