159695 Correlations

159695 Etf   1.16  0.02  1.69%   
The current 90-days correlation between 159695 and Shenzhen MTC Co is 0.7 (i.e., Poor diversification). The correlation of 159695 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.

159695 Correlation With Market

Good diversification

The correlation between 159695 and DJI is -0.14 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding 159695 and DJI in the same portfolio, assuming nothing else is changed.
  
The ability to find closely correlated positions to 159695 could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace 159695 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 159695 - 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 159695 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   
JPMCRM
CRMT
XOMMETA
XOMCRM
CRMMETA
MRKA
  
High negative correlations   
MRKCRM
MRKJPM
MRKT
JPMA
XOMMRK
MRKMETA

159695 Competition Risk-Adjusted Indicators

There is a big difference between 159695 Etf performing well and 159695 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 159695'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
META  1.06  0.06  0.02  0.20  1.40 
 2.62 
 8.02 
MSFT  0.92 (0.05)(0.05) 0.05  1.49 
 2.09 
 8.19 
UBER  1.62 (0.12)(0.05) 0.00  2.30 
 2.69 
 20.10 
F  1.43  0.02 (0.04) 0.48  2.24 
 2.53 
 11.21 
T  0.92  0.28  0.15 (7.88) 0.85 
 2.56 
 6.47 
A  1.17 (0.09) 0.00 (0.05) 0.00 
 2.71 
 9.02 
CRM  1.34  0.21  0.16  0.30  1.16 
 3.18 
 9.09 
JPM  1.12 (0.01) 0.06  0.11  1.40 
 2.05 
 15.87 
MRK  0.91 (0.21) 0.00 (0.74) 0.00 
 2.00 
 4.89 
XOM  1.01 (0.05)(0.08) 0.02  1.33 
 2.10 
 5.74 

159695 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 159695 etf to make a market-neutral strategy. Peer analysis of 159695 could also be used in its relative valuation, which is a method of valuing 159695 by comparing valuation metrics with similar companies.
 Risk & Return  Correlation