Macroaxis considers State Street to be not too volatile. State Street Emerging
owns Efficiency Ratio (i.e. Sharpe Ratio) of -0.0434 which indicates the organization had -0.0434% of return per unit of risk over the last 3 months. Macroaxis philosophy towards measuring 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
. State Street Emerging Markets E exposes twenty-one different technical indicators
which can help you to evaluate volatility that cannot be diversified away. Please be advised to validate State Street Risk Adjusted Performance
of (0.041293) and Coefficient Of Variation of (2,412) to confirm risk estimate we provide. The entity has beta of 0.7588 which indicates as returns on market increase, State Street returns are expected to increase less than the market. However during bear market, the loss on holding State Street will be expected to be smaller as well. Even though it is essential to pay attention to State Street Emerging current price movements, it is always good to be careful when utilizing equity historical returns. Macroaxis philosophy towards measuring 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. State Street Emerging Markets E exposes twenty-one different technical indicators which can help you to evaluate its performance.
Below average predictability
State Street Emerging Markets E has below average predictability. Overlapping area represents the amount of predictability between State Street time series from July 23, 2019 to September 6, 2019 and September 6, 2019 to October 21, 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 State Street Emerging price movement. The serial correlation of 0.33 indicates that nearly 33.0% of current State Street price fluctuation can be explain by its past prices.