Correlation Between BITM and BLZ

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

Diversification Opportunities for BITM and BLZ

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  Correlation Coefficient

Pay attention - limited upside

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

Pair Corralation between BITM and BLZ

If you would invest (100.00) in BITM on November 8, 2024 and sell it today you would earn a total of  100.00  from holding BITM or generate -100.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy0.0%
ValuesDaily Returns

BITM  vs.  BLZ

 Performance 
       Timeline  
BITM 

Risk-Adjusted Performance

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

Risk-Adjusted Performance

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Weak
 
Strong
Very Weak
Over the last 90 days BLZ has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unsteady performance in the last few months, the Crypto's basic indicators remain rather sound which may send shares a bit higher in March 2025. The latest tumult may also be a sign of longer-term up-swing for BLZ shareholders.

BITM and BLZ Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with BITM and BLZ

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