Correlation Between BLZ and BGG

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Can any of the company-specific risk be diversified away by investing in both BLZ and BGG 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 BLZ and BGG into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BLZ and BGG, you can compare the effects of market volatilities on BLZ and BGG 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 BLZ with a short position of BGG. Check out your portfolio center. Please also check ongoing floating volatility patterns of BLZ and BGG.

Diversification Opportunities for BLZ and BGG

0.0
  Correlation Coefficient
 BLZ
 BGG

Pay attention - limited upside

The 3 months correlation between BLZ and BGG is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding BLZ and BGG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BGG and BLZ 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 BLZ are associated (or correlated) with BGG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BGG has no effect on the direction of BLZ i.e., BLZ and BGG go up and down completely randomly.

Pair Corralation between BLZ and BGG

If you would invest  5.40  in BLZ on December 28, 2024 and sell it today you would lose (1.95) from holding BLZ or give up 36.11% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy0.0%
ValuesDaily Returns

BLZ  vs.  BGG

 Performance 
       Timeline  
BLZ 

Risk-Adjusted Performance

Very Weak

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

Risk-Adjusted Performance

Very Weak

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

BLZ and BGG Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with BLZ and BGG

The main advantage of trading using opposite BLZ and BGG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BLZ position performs unexpectedly, BGG 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 BGG will offset losses from the drop in BGG's long position.
The idea behind BLZ and BGG 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.

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