500 com Limited Backtested Returns
Macroaxis considers 500 com to be not very volatile. 500 com Limited
retains Efficiency (Sharpe Ratio) of -0.0049 which signifies that 500 com Limited
had -0.0049% of return per unit of price deviation over the last 1 month. Macroaxis way in which we are 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
. 500 com exposes twenty-eight different technical indicators
which can help you to evaluate volatility that cannot be diversified away. Please be advised to confirm 500 com Limited Standard Deviation
of 1.65, Market Risk Adjusted Performance
of (4.06) and Coefficient Of Variation of (2,428) to double-check risk estimate we provide. Macroaxis gives 500 com performance score of 0 on a scale of 0 to 100. The corporation owns Beta (Systematic Risk) of 0.0191 which signifies that as returns on market increase, 500 com returns are expected to increase less than the market. However during bear market, the loss on holding 500 com will be expected to be smaller as well.. Even though it is essential to pay attention to 500 com Limited existing price patterns, it is always good to be careful when utilizing equity price patterns. Macroaxis way in which we are 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. 500 com exposes twenty-eight different technical indicators which can help you to evaluate its performance. 500 com Limited has expected return of -0.0081%. Please be advised to confirm 500 com Limited Sortino Ratio, Semi Variance and the relationship between Information Ratio and Value At Risk to decide if 500 com Limited past performance will be repeated sooner or later.
|15 days auto-correlation|| 0.33 |
Below average predictability
500 com Limited has below average predictability. Overlapping area represents the amount of predictability between 500 com time series from September 17, 2017 to October 2, 2017 and October 2, 2017 to October 17, 2017. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of 500 com Limited price movement. The serial correlation of 0.33 indicates that nearly 33.0% of current 500 com price fluctuation can be explain by its past prices.
|Correlation Coefficient|| 0.33|
|Spearman Rank Test|| -0.25|
|Price Variance|| 0.03|
|Lagged Price Variance|| 0.01|
500 com Lagged Returns