Correlation Between MLN and BITM

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

Diversification Opportunities for MLN and BITM

-0.28
  Correlation Coefficient

Very good diversification

The 3 months correlation between MLN and BITM is -0.28. Overlapping area represents the amount of risk that can be diversified away by holding MLN and BITM in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BITM and MLN 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 MLN are associated (or correlated) with BITM. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BITM has no effect on the direction of MLN i.e., MLN and BITM go up and down completely randomly.

Pair Corralation between MLN and BITM

If you would invest  1,559  in MLN on August 25, 2024 and sell it today you would earn a total of  30.00  from holding MLN or generate 1.92% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy4.55%
ValuesDaily Returns

MLN  vs.  BITM

 Performance 
       Timeline  
MLN 

Risk-Adjusted Performance

2 of 100

 
Weak
 
Strong
Weak
Compared to the overall equity markets, risk-adjusted returns on investments in MLN are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. In spite of rather sound basic indicators, MLN is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.
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 fundamental indicators, BITM is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.

MLN and BITM Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with MLN and BITM

The main advantage of trading using opposite MLN and BITM positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MLN position performs unexpectedly, BITM 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 BITM will offset losses from the drop in BITM's long position.
The idea behind MLN and BITM 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.

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