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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
INSV  + 0.93  HSP
HSP  + 0.9  BVF
HSP  + 0.9  EMIS
HSP  + 0.87  DCTH
NKTR  + 0.86  BVF
INSV  + 0.85  EMIS
NKTR  + 0.85  INSV
ELN  + 0.84  ALKS
INSV  + 0.84  BVF
DCTH  + 0.83  BVF
NKTR  + 0.82  HSP
INSV  + 0.81  DCTH
GNBT  + 0.8  EMIS
HSP  + 0.8  GNBT
Recommended Pairs
MTXX  - 0.0  ADMP
INSV  - 0.0  ARDM
ADMP  - 0.03  ACUR
CBRX  - 0.03  ARDM
NKTR  - 0.05  ARDM
ELN  - 0.06  ARDM
FLML  - 0.07  BPTH
INSV  + 0.0  ARDM
MTXX  + 0.0  ADMP
FLML  + 0.01  ELN
HSP  + 0.01  ARDM
CBRX  + 0.02  BVF
ELN  + 0.02  BPTH
EMIS  + 0.03  CBRX
High negative correlations
NKTR  - 0.82  ADMP
BVF  - 0.63  ADMP
FLML  - 0.61  ACUR
INSV  - 0.59  FLML
GNBT  - 0.59  FLML
INSV  - 0.58  ADMP
HSP  - 0.56  ADMP
NKTR  - 0.54  FLML
HSP  - 0.54  FLML
GNBT  - 0.53  ADMP
FLML  - 0.49  EMIS
ELN  - 0.49  ADMP
FLML  - 0.46  DCTH
CBRX  - 0.45  ACUR
    
       

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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Sharpe Ratios

   
 Macroaxis: United States Acura 0.18 Price Moved Up
   
 Macroaxis: United States Adamis 0.16 Price Moved Down
   
 Macroaxis: United States Alkermes 0.14 Price Moved Up
   
 Macroaxis: United States Aradigm 0.14 Price Moved Up
   
 Macroaxis: United States Biopath 0.18 Price Moved Up
   
 Macroaxis: United States Biovail 0.19 Price Moved Up
   
 Macroaxis: United States Columbia 0.04 Price Moved Down
   
 Macroaxis: United States Delcath 0.30 Price Moved Up
   
 Macroaxis: United States Elan 0.02 Price Moved Up
   
 Macroaxis: United States Emisphere 0.53 Price Moved Up
   
 Macroaxis: United States Flamel 0.12 Price Moved Up
   
 Macroaxis: United States Generex 0.04 Price Moved Up
   
 Macroaxis: United States Hospira 0.41 Price Moved Up
   
 Macroaxis: United States Insite 0.16 Price Moved Down
   
 Macroaxis: United States Matrixx 0.12 Price Moved Up
   
 Macroaxis: United States Nektar 0.28 Price Moved Up
    
        
       

Top Performers

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Top Owned ETFs

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Top Owned Funds

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Top Advisors

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