Macroaxis considers Kingold Jewelry to be exceptionally risky. Kingold Jewelry
has Sharpe Ratio of -0.2184 which conveys that Kingold Jewelry
had -0.2184% of return per unit of risk over the last 2 months. Macroaxis philosophy towards estimating 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
. Kingold Jewelry exposes twenty-one different technical indicators
which can help you to evaluate volatility that cannot be diversified away. Please be advised to verify Kingold Jewelry Mean Deviation
of 2.48 and Risk Adjusted Performance
of 0.39 to check out risk estimate we provide. Macroaxis gives Kingold Jewelry performance score of 0 on a scale of 0 to 100. The company secures Beta (Market Risk) of 0.1498 which conveys that as returns on market increase, Kingold Jewelry returns are expected to increase less than the market. However during bear market, the loss on holding Kingold Jewelry will be expected to be smaller as well.. Even though it is essential to pay attention to Kingold Jewelry price patterns, it is always good to be careful when utilizing equity historical price patterns. Macroaxis philosophy towards estimating 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. Kingold Jewelry exposes twenty-one different technical indicators which can help you to evaluate its performance. Kingold Jewelry has expected return of -0.6321%. Please be advised to verify Kingold Jewelry Treynor Ratio as well as the relationship between Downside Variance and Kurtosis to decide if Kingold Jewelry past performance will be repeated at some point in the near future.
|15 days auto-correlation||(0.26) |
Weak reverse predictability
Kingold Jewelry has weak reverse predictability. Overlapping area represents the amount of predictability between Kingold Jewelry time series from February 24, 2018 to March 26, 2018 and March 26, 2018 to April 25, 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 Kingold Jewelry price movement. The serial correlation of -0.26 indicates that nearly 26.0% of current Kingold Jewelry price fluctuation can be explain by its past prices. Given that Kingold Jewelry has negative autocorrelation for selected time horizon, investors may consider taking a contrarian position regarding future price movement of Kingold Jewelry for similar time interval.
|Correlation Coefficient|| -0.26|
|Spearman Rank Test|| -0.2|
|Lagged Price Variance|| 0.02|
|Average Price|| 1.29|