Macroaxis considers AQR International not too volatile given 2 months investment horizon. AQR International
secures Sharpe Ratio (or Efficiency) of 0.3582 which signifies that the fund had 0.3582% of return per unit of risk over the last 2 months. Our philosophy in foreseeing volatility of a fund is to use all available market data together with fund specific technical indicators
that cannot be diversified away. We have found twenty-one technical indicators
for AQR International Defensive Style R6 which you can use to evaluate future volatility of the entity. Please makes use of AQR International Risk Adjusted Performance
of 0.1637 and Mean Deviation
of 0.581 to double-check if our risk estimates are consistent with your expectations. The organization shows Beta (market volatility) of -0.0387 which signifies that as returns on market increase, returns on owning AQR International are expected to decrease at a much smaller rate. During bear market, AQR International is likely to outperform the market. Although it is extremely important to respect AQR International
historical returns, it is better to be realistic regarding the information on equity current trending patterns. The philosophy in foreseeing future performance of any fund is to evaluate the business as a whole together with its past performance including all available fundamental and technical indicators
. By analyzing AQR International technical indicators
you can now evaluate if the expected return of 0.2301% will be sustainable into the future.
AQR International Defensive Style R6 has good predictability. Overlapping area represents the amount of predictability between AQR International time series from December 25, 2018 to January 24, 2019 and January 24, 2019 to February 23, 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 AQR International price movement. The serial correlation of 0.66 indicates that around 66.0% of current AQR International price fluctuation can be explain by its past prices.