Capitalonline Data Correlations

300846 Stock   15.43  0.55  3.70%   
The current 90-days correlation between Capitalonline Data and Ningbo Ligong Online is 0.63 (i.e., Poor diversification). The correlation of Capitalonline Data 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.

Capitalonline Data Correlation With Market

Good diversification

The correlation between Capitalonline Data Service and DJI is -0.05 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Capitalonline Data Service and DJI in the same portfolio, assuming nothing else is changed.
  
The ability to find closely correlated positions to Capitalonline Data could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Capitalonline Data 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 Capitalonline Data - 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 Capitalonline Data Service to buy it.

Moving against Capitalonline Stock

  0.48601857 PetroChinaPairCorr
  0.39601288 Agricultural BankPairCorr
  0.36601988 Bank of ChinaPairCorr

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   
688155002322
002322300846
002188002322
688155002188
002637300959
002188300846
  
High negative correlations   
300959002322
600612002831
002188300959
002637002322
688155300959
300959300846

Risk-Adjusted Indicators

There is a big difference between Capitalonline Stock performing well and Capitalonline Data 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 Capitalonline Data'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 DeviationJensen AlphaSortino RatioTreynor RatioSemi DeviationExpected ShortfallPotential UpsideValue @RiskMaximum Drawdown
300846  3.68  0.20  0.02 (0.56) 4.79 
 8.73 
 24.87 
002322  1.41 (0.09) 0.00  2.39  0.00 
 2.05 
 10.63 
300959  4.86  0.81  0.11 (0.53) 5.05 
 20.00 
 30.50 
002400  5.03  0.83  0.13 (0.72) 4.57 
 10.03 
 19.92 
002188  2.47 (0.06) 0.00 (0.04) 0.00 
 4.53 
 18.15 
002637  2.11  0.33  0.13  0.67  2.07 
 4.14 
 11.18 
688155  2.02  0.01 (0.03) 0.04  2.59 
 3.81 
 20.89 
002831  1.56  0.19  0.03 (0.30) 1.61 
 5.57 
 12.17 
600612  1.95 (0.04) 0.00  0.75  0.00 
 4.67 
 21.79 

Capitalonline Data 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 Capitalonline Data stock to make a market-neutral strategy. Peer analysis of Capitalonline Data could also be used in its relative valuation, which is a method of valuing Capitalonline Data by comparing valuation metrics with similar companies.
 Risk & Return  Correlation