Ximen Mining Correlations

XXMMF Stock  USD 0.09  0.03  23.33%   
The correlation of Ximen Mining 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.

Ximen Mining Correlation With Market

Significant diversification

The correlation between Ximen Mining Corp and DJI is 0.06 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Ximen Mining Corp and DJI in the same portfolio, assuming nothing else is changed.
  
The ability to find closely correlated positions to Ximen Mining could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Ximen Mining 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 Ximen Mining - 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 Ximen Mining Corp to buy it.

Moving together with Ximen OTC Stock

  0.61AMBR Amber Road, Symbol ChangePairCorr
  0.65TRV The Travelers CompaniesPairCorr

Moving against Ximen OTC Stock

  0.71BA BoeingPairCorr
  0.84DIS Walt DisneyPairCorr
  0.82AXP American ExpressPairCorr
  0.78HPQ HP IncPairCorr
  0.76HD Home DepotPairCorr
  0.65JPM JPMorgan ChasePairCorr
  0.48MSFT MicrosoftPairCorr
  0.4AA Alcoa CorpPairCorr
  0.37CAT CaterpillarPairCorr

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   
WTHVFNKOSF
NKOSFELRRF
WTHVFELRRF
LOMLFELRRF
MZZMFELRRF
TLRSELRRF
  
High negative correlations   
WTHVFALVLF
ALVLFNKOSF
ALVLFELRRF
ALVLFLOMLF
LOMLFNKOSF
WTHVFLOMLF

Risk-Adjusted Indicators

There is a big difference between Ximen OTC Stock performing well and Ximen Mining OTC Stock 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 Ximen Mining'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
ELRRF  3.69  0.73  0.16  1.48  3.91 
 9.52 
 25.18 
NKOSF  5.45  0.95  0.15 (0.65) 6.19 
 12.50 
 38.52 
LOMLF  4.08  0.43  0.07 (0.77) 4.73 
 10.00 
 37.57 
MZZMF  0.00  0.00  0.00  0.00  0.00 
 0.00 
 0.00 
TLRS  0.00  0.00  0.00  0.00  0.00 
 0.00 
 0.00 
NCMGY  0.00  0.00  0.00  0.00  0.00 
 0.00 
 0.00 
HGGOF  0.00  0.00  0.00  0.00  0.00 
 0.00 
 0.00 
ALVLF  3.52  0.29  0.02  1.21  5.55 
 16.67 
 41.67 
WTHVF  4.64  0.94  0.18 (2.51) 4.45 
 17.02 
 42.88 

Be your own money manager

Our tools can tell you how much better you can do entering a position in Ximen Mining 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.

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