Samsung Electronics Correlations

SSNLF Stock  USD 40.60  0.00  0.00%   
The current 90-days correlation between Samsung Electronics and Universal Electronics is -0.02 (i.e., Good diversification). The correlation of Samsung Electronics 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.
  
The ability to find closely correlated positions to Samsung Electronics could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Samsung Electronics 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 Samsung Electronics - 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 Samsung Electronics Co to buy it.

Moving together with Samsung Pink Sheet

  0.62AMZN Amazon IncPairCorr
  0.68GOOG Alphabet Class CPairCorr
  0.66PFE Pfizer IncPairCorr
  0.66CSCO Cisco Systems Aggressive PushPairCorr
  0.67MMM 3M CompanyPairCorr
  0.74BA BoeingPairCorr

Moving against Samsung Pink Sheet

  0.68SLF Sun Life FinancialPairCorr
  0.41GLUC Glucose HealthPairCorr
  0.38NVDA NVIDIA Aggressive PushPairCorr
  0.34HNRC Houston Natural ResourcesPairCorr
  0.76HPQ HP IncPairCorr
  0.73DD Dupont De NemoursPairCorr
  0.65XOM Exxon Mobil CorpPairCorr
  0.54INTC Intel Aggressive PushPairCorr
  0.49CAT Caterpillar Sell-off TrendPairCorr
  0.41MRK Merck CompanyPairCorr
  0.33HD Home DepotPairCorr

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   
SNEJFSONY
XIACYTCLHF
XIACYSONY
XIACYSNEJF
TCLHFSONY
SNEJFTCLHF
  
High negative correlations   
XIACYUEIC
TCLHFUEIC
LPLSONY
LPLSNEJF
LPLAAPL
LPLXIACY

Risk-Adjusted Indicators

There is a big difference between Samsung Pink Sheet performing well and Samsung Electronics 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 Samsung Electronics' 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
UEIC  1.82 (0.17) 0.00 (0.22) 0.00 
 3.64 
 9.87 
VZIO  0.00  0.00  0.00  0.00  0.00 
 0.00 
 0.00 
VOXX  1.43  0.14  0.05  0.25  2.10 
 3.37 
 22.88 
SONY  1.45  0.30  0.19  0.41  1.36 
 3.18 
 6.95 
TCLHF  3.85  0.58  0.07 (1.49) 4.40 
 11.27 
 31.89 
SHCAY  2.75  0.24  0.07 (5.22) 3.23 
 7.69 
 19.63 
SNEJF  2.48  0.34  0.10 (1.39) 2.69 
 7.61 
 19.14 
AAPL  1.08  0.12  0.07  0.28  1.51 
 2.10 
 7.04 
XIACY  2.49  0.75  0.24 (163.89) 2.45 
 6.41 
 15.11 
LPL  1.60 (0.05) 0.00 (0.06) 0.00 
 2.75 
 10.87 

Be your own money manager

Our tools can tell you how much better you can do entering a position in Samsung Electronics 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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