Correlation Between BLZ and Sushi

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both BLZ and Sushi 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 Sushi into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BLZ and Sushi, you can compare the effects of market volatilities on BLZ and Sushi 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 Sushi. Check out your portfolio center. Please also check ongoing floating volatility patterns of BLZ and Sushi.

Diversification Opportunities for BLZ and Sushi

0.5
  Correlation Coefficient

Very weak diversification

The 3 months correlation between BLZ and Sushi is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding BLZ and Sushi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sushi 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 Sushi. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sushi has no effect on the direction of BLZ i.e., BLZ and Sushi go up and down completely randomly.

Pair Corralation between BLZ and Sushi

Assuming the 90 days trading horizon BLZ is expected to generate 2.08 times less return on investment than Sushi. But when comparing it to its historical volatility, BLZ is 1.1 times less risky than Sushi. It trades about 0.12 of its potential returns per unit of risk. Sushi is currently generating about 0.23 of returns per unit of risk over similar time horizon. If you would invest  55.00  in Sushi on September 2, 2024 and sell it today you would earn a total of  79.00  from holding Sushi or generate 143.64% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

BLZ  vs.  Sushi

 Performance 
       Timeline  
BLZ 

Risk-Adjusted Performance

9 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in BLZ are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, BLZ exhibited solid returns over the last few months and may actually be approaching a breakup point.
Sushi 

Risk-Adjusted Performance

18 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in Sushi are ranked lower than 18 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, Sushi exhibited solid returns over the last few months and may actually be approaching a breakup point.

BLZ and Sushi Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with BLZ and Sushi

The main advantage of trading using opposite BLZ and Sushi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BLZ position performs unexpectedly, Sushi 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 Sushi will offset losses from the drop in Sushi's long position.
The idea behind BLZ and Sushi 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.

Other Complementary Tools

Price Exposure Probability
Analyze equity upside and downside potential for a given time horizon across multiple markets
Portfolio Rebalancing
Analyze risk-adjusted returns against different time horizons to find asset-allocation targets
Pair Correlation
Compare performance and examine fundamental relationship between any two equity instruments
Risk-Return Analysis
View associations between returns expected from investment and the risk you assume
Analyst Advice
Analyst recommendations and target price estimates broken down by several categories