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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
SKYW  + 0.94  HA
HA  + 0.93  ALK
LUV  + 0.89  HA
SKYW  + 0.88  ALK
LFL  + 0.87  CPA
LUV  + 0.86  ALK
LUV  + 0.86  LFL
LUV  + 0.81  JBLU
LUV  + 0.81  SKYW
LUV  + 0.79  AAI
JBLU  + 0.79  CPA
LUV  + 0.79  CPA
JBLU  + 0.78  AAI
LFL  + 0.78  JBLU
Recommended Pairs
BLTA  - 0.0  AAI
BLTA  - 0.0  ALK
BLTA  - 0.0  ALGT
CPA  - 0.0  BLTA
XJT  - 0.0  BLTA
GOL  - 0.0  BLTA
GLUX  - 0.0  BLTA
LUV  + 0.0  BLTA
SKYW  + 0.0  BLTA
RJET  + 0.0  BLTA
PNCL  + 0.0  BLTA
LFL  + 0.0  BLTA
JBLU  + 0.0  BLTA
HA  + 0.0  BLTA
High negative correlations
HA  - 0.57  GLUX
SKYW  - 0.48  GLUX
GLUX  - 0.48  ALK
LUV  - 0.44  GLUX
GLUX  - 0.41  AAI
RJET  - 0.34  XJT
RJET  - 0.29  GLUX
GLUX  - 0.28  CPA
PNCL  - 0.22  GIA
PNCL  - 0.21  ALK
LFL  - 0.2  GLUX
PNCL  - 0.18  HA
PNCL  - 0.17  XJT
JBLU  - 0.16  GLUX
    
       

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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22056  global portfolios
    
    

Sharpe Ratios

   
 Macroaxis: United States Alcoa 0.09 Price Moved Up
   
 Macroaxis: United States Alaska 0.30 Price Moved Up
   
 Macroaxis: United States Allegiant 0.10 Price Moved Up
   
 Macroaxis: United States Baltia 0.00 Price Moved None
   
 Macroaxis: United States Copa 0.11 Price Moved Up
   
 Macroaxis: United States ExpressJet 0.21 Price Moved Down
   
 Macroaxis: United States GOL Linhas 0.15 Price Moved Down
   
 Macroaxis: United States Great 0.12 Price Moved Down
   
 Macroaxis: United States Gulfstream 0.04 Price Moved Up
   
 Macroaxis: United States Hawaiian 0.11 Price Moved Up
   
 Macroaxis: United States JetBlue 0.08 Price Moved Up
   
 Macroaxis: United States LAN Airlines 0.03 Price Moved Down
   
 Macroaxis: United States Pinnacle 0.18 Price Moved Down
   
 Macroaxis: United States Republic 0.06 Price Moved Up
   
 Macroaxis: United States SkyWest 0.02 Price Moved Up
   
 Macroaxis: United States Southwest 0.36 Price Moved Up
    
        
       

Top Performers

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Top Owned Stocks

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Top Owned ETFs

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Top Owned Funds

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 Macroaxis: United StatesVTSMX  77 

Top Advisors

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