159681 Correlations

159681 Etf   0.96  0.04  4.00%   
The current 90-days correlation between 159681 and Shenzhen MTC Co is 0.67 (i.e., Poor diversification). The correlation of 159681 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.

159681 Correlation With Market

Good diversification

The correlation between 159681 and DJI is -0.12 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding 159681 and DJI in the same portfolio, assuming nothing else is changed.
  
The ability to find closely correlated positions to 159681 could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace 159681 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 159681 - 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 159681 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
CRMMETA
XOMCRM
MRKA
  
High negative correlations   
MRKCRM
MRKJPM
MRKT
JPMA
XOMMRK
MRKMETA

159681 Competition Risk-Adjusted Indicators

There is a big difference between 159681 Etf performing well and 159681 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 159681'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  1.05  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 

159681 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 159681 etf to make a market-neutral strategy. Peer analysis of 159681 could also be used in its relative valuation, which is a method of valuing 159681 by comparing valuation metrics with similar companies.
 Risk & Return  Correlation