Jiangxi JDL Correlations
688057 Stock | 11.59 0.25 2.11% |
The current 90-days correlation between Jiangxi JDL Environmental and XinJiang GuoTong Pipeline is 0.55 (i.e., Very weak diversification). The correlation of Jiangxi JDL is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Jiangxi JDL Correlation With Market
Good diversification
The correlation between Jiangxi JDL Environmental and DJI is -0.08 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Jiangxi JDL Environmental and DJI in the same portfolio, assuming nothing else is changed.
Jiangxi |
The ability to find closely correlated positions to Jiangxi JDL could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Jiangxi JDL when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Jiangxi JDL - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Jiangxi JDL Environmental to buy it.
Moving together with Jiangxi Stock
0.85 | 601668 | China State Construction | PairCorr |
0.94 | 600048 | Poly Real Estate | PairCorr |
0.95 | 000002 | China Vanke | PairCorr |
0.92 | 001979 | China Merchants Shekou | PairCorr |
0.93 | 600325 | Huafa Industrial | PairCorr |
0.96 | 601995 | China International | PairCorr |
0.87 | 600519 | Kweichow Moutai | PairCorr |
0.95 | 600153 | Xiamen CD | PairCorr |
0.98 | 300750 | Contemporary Amperex | PairCorr |
0.79 | 600340 | China Fortune Land | PairCorr |
0.94 | 300364 | COL Digital Publishing | PairCorr |
0.89 | 000678 | Xiangyang Automobile | PairCorr |
0.98 | 688137 | Suzhou Novoprotein | PairCorr |
Related Correlations Analysis
0.94 | 0.97 | 0.95 | 0.82 | 0.91 | 600996 | ||
0.94 | 0.95 | 0.93 | 0.86 | 0.91 | 002534 | ||
0.97 | 0.95 | 0.97 | 0.83 | 0.92 | 600853 | ||
0.95 | 0.93 | 0.97 | 0.83 | 0.89 | 002205 | ||
0.82 | 0.86 | 0.83 | 0.83 | 0.86 | 300556 | ||
0.91 | 0.91 | 0.92 | 0.89 | 0.86 | 603885 | ||
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Risk-Adjusted Indicators
There is a big difference between Jiangxi Stock performing well and Jiangxi JDL Company doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Jiangxi JDL's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.Mean Deviation | Jensen Alpha | Sortino Ratio | Treynor Ratio | Semi Deviation | Expected Shortfall | Potential Upside | Value @Risk | Maximum Drawdown | ||
---|---|---|---|---|---|---|---|---|---|---|
600996 | 2.13 | 0.40 | 0.09 | (1.50) | 2.51 | 4.83 | 18.34 | |||
002534 | 2.04 | 0.31 | 0.05 | (0.54) | 2.22 | 4.73 | 18.08 | |||
600853 | 1.68 | 0.33 | 0.07 | (1.16) | 2.00 | 4.00 | 17.02 | |||
002205 | 2.61 | 0.67 | 0.14 | (0.65) | 2.73 | 7.79 | 18.75 | |||
300556 | 3.48 | 0.42 | 0.06 | (2.23) | 4.27 | 7.74 | 31.43 | |||
603885 | 2.09 | 0.50 | 0.15 | (0.76) | 1.81 | 4.71 | 16.84 |
Be your own money manager
Our tools can tell you how much better you can do entering a position in Jiangxi JDL without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.Did you try this?
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