Macroaxis considers Altaba to be not too volatile. Altaba
secures Sharpe Ratio (or Efficiency) of -0.1522 which signifies that Altaba
had -0.1522% of return per unit of risk over the last 1 month. Macroaxis philosophy towards foreseeing risk of any stock is to look at both systematic and un-systematic factors of the business, including all available market data and technical indicators
. Altaba exposes twenty-one different technical indicators
which can help you to evaluate volatility that cannot be diversified away. Please be advised to confirm Altaba Risk Adjusted Performance
of 0.20 and Mean Deviation of 1.73 to double-check risk estimate we provide. Macroaxis gives Altaba performance score of 0 on a scale of 0 to 100. The firm shows Beta (market volatility) of 0.6867 which signifies that as returns on market increase, Altaba returns are expected to increase less than the market. However during bear market, the loss on holding Altaba will be expected to be smaller as well.. Even though it is essential to pay attention to Altaba historical returns, it is always good to be careful when utilizing equity current trending patterns. Macroaxis philosophy towards foreseeing future performance of any stock is to check both, its past performance charts as well as the business as a whole, including all available technical indicators. Altaba exposes twenty-one different technical indicators which can help you to evaluate its performance. Altaba has expected return of -0.3478%. Please be advised to confirm Altaba Jensen Alpha, Potential Upside, Skewness, as well as the relationship between Maximum Drawdown and Semi Variance to decide if Altaba past performance will be repeated at some point in the near future.
|15 days auto-correlation||(0.61) |
Very good reverse predictability
Altaba has very good reverse predictability. Overlapping area represents the amount of predictability between Altaba time series from September 16, 2018 to October 1, 2018 and October 1, 2018 to October 16, 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 Altaba price movement. The serial correlation of -0.61 indicates that roughly 61.0% of current Altaba price fluctuation can be explain by its past prices. Given that Altaba has negative autocorrelation for selected time horizon, investors may consider taking a contrarian position regarding future price movement of Altaba for similar time interval.
|Spearman Rank Test||-0.43|