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30 Days Moving Correlation Matrix

       
Number of assets for correlation table Specify up to 15 valid comma-separated symbols having historical data Generate output as
       

       

Correlation Matchups

How to use this Correlation Matrix? 
    
High positive correlations
DIS  + 0.96  CRM
DIS  + 0.94  JPM
DIS  + 0.93  MSFT
JPM  + 0.9  MSFT
M  + 0.9  CRM
CRM  + 0.89  MSFT
M  + 0.89  DIS
YHOO  + 0.88  MSFT
JPM  + 0.88  CRM
M  + 0.85  JPM
JPM  + 0.84  F
XOM  + 0.83  MRK
DIS  + 0.82  F
CRM  + 0.81  YHOO
Recommended Pairs
T  - 0.02  MSFT
M  - 0.04  MRK
M  - 0.13  GOOG
F  - 0.15  GOOG
JPM  - 0.25  T
T  - 0.26  F
DIS  - 0.29  T
T  + 0.05  YHOO
JPM  + 0.05  GOOG
DIS  + 0.13  GOOG
M  + 0.18  XOM
MRK  + 0.19  CRM
CRM  + 0.23  GOOG
MRK  + 0.29  F
High negative correlations
M  - 0.58  T
CRM  - 0.3  T
DIS  - 0.29  T
T  - 0.26  F
JPM  - 0.25  T
F  - 0.15  GOOG
M  - 0.13  GOOG
M  - 0.04  MRK
T  - 0.02  MSFT
    
       

Why correlation coefficient is important?

An investor can reduce portfolio risk simply by holding instruments which are not perfectly correlated. In other words, investors can reduce their exposure to individual asset risk by holding a diversified portfolio of assets. Diversification will allow for the same portfolio return with reduced risk. If all the assets of a portfolio have a correlation of 1, i.e., perfect correlation, the portfolio volatility (standard deviation) will be equal to the weighted sum of the individual asset volatilities. Hence the portfolio variance will be equal to the square of the total weighted sum of the individual asset volatilities. If all the assets have a correlation of 0, i.e., perfectly uncorrelated, the portfolio variance is the sum of the individual asset weights squared times the individual asset variance (and volatility is the square root of this sum). If correlation is less than zero, i.e., the assets are inversely correlated, the portfolio variance and hence volatility will be less than if the correlation is 0. Learn more...

About correlation table

Correlation table is a two-dimensional matrix that shows correlation coefficient between pairs of securities. The cells in the table are color-coded to highlight significantly positive and negative relationships.

About correlation cloud

Correlation cloud is a flat representation of correlation coefficients between pairs of securities. The links in the cloud are color-coded to highlight significantly positive and negative relationships.
    
    
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21909  global portfolios
    
    

Sharpe Ratios

   
 Macroaxis: United States Google 0.33 Price Moved Up
   
 Macroaxis: United States Microsoft 0.21 Price Moved Up
   
 Macroaxis: United States Yahoo! 0.22 Price Moved Up
   
 Macroaxis: United States Ford 0.45 Price Moved Up
   
 Macroaxis: United States AT&T 0.12 Price Moved Up
   
 Macroaxis: United States Salesforce 0.48 Price Moved Up
   
 Macroaxis: United States JPMorgan 0.29 Price Moved Up
   
 Macroaxis: United States Merck 0.08 Price Moved Down
   
 Macroaxis: United States Exxon 0.07 Price Moved Up
   
 Macroaxis: United States Walt 0.54 Price Moved Up
   
 Macroaxis: United States Macys 0.61 Price Moved Up
    
        
       

Top Performers

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Top Owned Stocks

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 Macroaxis: United StatesMSFT  247 
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Top Owned ETFs

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Top Owned Funds

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 Macroaxis: United StatesDODFX  88 
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 Macroaxis: United StatesVGTSX  80 
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 Macroaxis: United StatesVTSMX  76 

Top Advisors

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