CCB Principal Correlations
| 510090 Etf | 2.41 0.06 2.43% |
The current 90-days correlation between CCB Principal SSE and Shenzhen MTC Co is 0.6 (i.e., Poor diversification). The correlation of CCB Principal 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.
CCB Principal Correlation With Market
Very good diversification
The correlation between CCB Principal SSE and DJI is -0.22 (i.e., Very good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding CCB Principal SSE and DJI in the same portfolio, assuming nothing else is changed.
CCB |
The ability to find closely correlated positions to CCB Principal could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace CCB Principal 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 CCB Principal - 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 CCB Principal SSE to buy it.
Related Correlations Analysis
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Correlation Matchups
Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.High positive correlations
| High negative correlations
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CCB Principal Competition Risk-Adjusted Indicators
There is a big difference between CCB Etf performing well and CCB Principal ETF 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 CCB Principal'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 | ||
|---|---|---|---|---|---|---|---|---|---|---|
| META | 1.05 | 0.00 | (0.03) | 0.12 | 1.40 | 2.62 | 8.02 | |||
| MSFT | 0.88 | (0.08) | (0.07) | 0.01 | 1.51 | 2.09 | 8.19 | |||
| UBER | 1.60 | (0.14) | 0.00 | (0.02) | 0.00 | 2.69 | 20.10 | |||
| F | 1.43 | (0.12) | (0.02) | 0.04 | 2.19 | 2.75 | 11.72 | |||
| T | 0.92 | 0.28 | 0.14 | 24.43 | 0.85 | 2.56 | 6.47 | |||
| A | 1.14 | (0.13) | 0.00 | (0.12) | 0.00 | 2.29 | 9.02 | |||
| CRM | 1.28 | 0.29 | 0.25 | 0.37 | 0.90 | 3.18 | 9.09 | |||
| JPM | 1.12 | 0.00 | 0.06 | 0.12 | 1.44 | 2.05 | 15.87 | |||
| MRK | 0.85 | (0.26) | 0.00 | (1.12) | 0.00 | 1.73 | 4.89 | |||
| XOM | 1.03 | 0.03 | (0.01) | 0.18 | 1.21 | 2.14 | 5.78 |
CCB Principal Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with CCB Principal etf to make a market-neutral strategy. Peer analysis of CCB Principal could also be used in its relative valuation, which is a method of valuing CCB Principal by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |