Correlation Between PURA and GSC

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Can any of the company-specific risk be diversified away by investing in both PURA and GSC at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining PURA and GSC into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PURA and GSC, you can compare the effects of market volatilities on PURA and GSC and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in PURA with a short position of GSC. Check out your portfolio center. Please also check ongoing floating volatility patterns of PURA and GSC.

Diversification Opportunities for PURA and GSC

0.7
  Correlation Coefficient

Poor diversification

The 3 months correlation between PURA and GSC is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding PURA and GSC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GSC and PURA is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on PURA are associated (or correlated) with GSC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GSC has no effect on the direction of PURA i.e., PURA and GSC go up and down completely randomly.

Pair Corralation between PURA and GSC

If you would invest  0.13  in GSC on February 6, 2024 and sell it today you would earn a total of  0.00  from holding GSC or generate 0.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

PURA  vs.  GSC

 Performance 
       Timeline  
PURA 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days PURA has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound basic indicators, PURA is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.
GSC 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days GSC has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound fundamental indicators, GSC is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.

PURA and GSC Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with PURA and GSC

The main advantage of trading using opposite PURA and GSC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PURA position performs unexpectedly, GSC can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in GSC will offset losses from the drop in GSC's long position.
The idea behind PURA and GSC pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
Check out your portfolio center.
Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.

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