Correlation Between BITM and SC

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

Diversification Opportunities for BITM and SC

0.49
  Correlation Coefficient
 SC

Very weak diversification

The 3 months correlation between BITM and SC is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding BITM and SC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SC 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 SC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SC has no effect on the direction of BITM i.e., BITM and SC go up and down completely randomly.

Pair Corralation between BITM and SC

If you would invest  0.00  in BITM on February 7, 2024 and sell it today you would earn a total of  0.00  from holding BITM or generate 0.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy4.55%
ValuesDaily Returns

BITM  vs.  SC

 Performance 
       Timeline  
BITM 

Risk-Adjusted Performance

0 of 100

 
Weak
 
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 basic indicators, BITM is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.
SC 

Risk-Adjusted Performance

1 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in SC are ranked lower than 1 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, SC may actually be approaching a critical reversion point that can send shares even higher in June 2024.

BITM and SC Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with BITM and SC

The main advantage of trading using opposite BITM and SC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BITM position performs unexpectedly, SC 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 SC will offset losses from the drop in SC's long position.
The idea behind BITM and SC 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.

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