Macroaxis considers Airport City to be not too risky. Airport City
secures Sharpe Ratio (or Efficiency) of -0.3638 which signifies that Airport City
had -0.3638% 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
. Airport City Ltd exposes twenty-one different technical indicators
which can help you to evaluate volatility that cannot be diversified away. Please be advised to confirm Airport City Risk Adjusted Performance
of 0.18 and Mean Deviation of 0.6606 to double-check risk estimate we provide. Macroaxis gives Airport City performance score of 0 on a scale of 0 to 100. The firm shows Beta (market volatility) of -0.0444 which signifies that as returns on market increase, returns on owning Airport City are expected to decrease at a much smaller rate. During bear market, Airport City is likely to outperform the market.. Even though it is essential to pay attention to Airport City 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. Airport City Ltd exposes twenty-one different technical indicators which can help you to evaluate its performance. Airport City has expected return of -0.319%. Please be advised to confirm Airport City Jensen Alpha, Maximum Drawdown and the relationship between Information Ratio and Treynor Ratio to decide if Airport City past performance will be repeated at some point in the near future.
|15 days auto-correlation|| 0.28 |
Airport City Ltd has poor predictability. Overlapping area represents the amount of predictability between Airport City time series from September 19, 2018 to October 4, 2018 and October 4, 2018 to October 19, 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 Airport City price movement. The serial correlation of 0.28 indicates that nearly 28.0% of current Airport City price fluctuation can be explain by its past prices.
|Spearman Rank Test||0.39|