Macroaxis considers American Airlines to be not too volatile. American Airlines Group
secures Sharpe Ratio (or Efficiency) of -0.2393 which signifies that American Airlines Group
had -0.2393% of return per unit of standard deviation over the last 1 month. Macroaxis philosophy in 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
. American Airlines Group exposes twenty-one different technical indicators
which can help you to evaluate volatility that cannot be diversified away. Please be advised to confirm American Airlines Group Mean Deviation
of 1.54 and Risk Adjusted Performance
of 0.15 to double-check risk estimate we provide. Macroaxis gives American Airlines performance score of 0 on a scale of 0 to 100. The firm shows Beta (market volatility) of 0.4836 which signifies that as returns on market increase, American Airlines returns are expected to increase less than the market. However during bear market, the loss on holding American Airlines will be expected to be smaller as well.. Even though it is essential to pay attention to American Airlines Group historical returns, it is always good to be careful when utilizing equity current trending patterns. Macroaxis philosophy in 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. American Airlines Group exposes twenty-one different technical indicators which can help you to evaluate its performance. American Airlines Group has expected return of -0.5495%. Please be advised to confirm American Airlines Group Downside Deviation, Treynor Ratio, Expected Short fall, as well as the relationship between Variance and Potential Upside to decide if American Airlines Group past performance will be repeated at some point in the near future.
|15 days auto-correlation|| 0.59 |
American Airlines Group has modest predictability. Overlapping area represents the amount of predictability between American Airlines time series from June 18, 2018 to July 3, 2018 and July 3, 2018 to July 18, 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 American Airlines Group price movement. The serial correlation of 0.59 indicates that roughly 59.0% of current American Airlines price fluctuation can be explain by its past prices.
|Correlation Coefficient|| 0.59|
|Spearman Rank Test|| 0.58|
|Price Variance|| 0.94|
|Lagged Price Variance|| 2.76|