Correlation Between MNW and BITM

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

Diversification Opportunities for MNW and BITM

0.14
  Correlation Coefficient

Average diversification

The 3 months correlation between MNW and BITM is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding MNW and BITM in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BITM and MNW 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 MNW 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 MNW i.e., MNW and BITM go up and down completely randomly.

Pair Corralation between MNW and BITM

If you would invest  27.00  in MNW on August 30, 2024 and sell it today you would earn a total of  13.00  from holding MNW or generate 48.15% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy4.55%
ValuesDaily Returns

MNW  vs.  BITM

 Performance 
       Timeline  
MNW 

Risk-Adjusted Performance

8 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in MNW are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, MNW exhibited solid returns over the last few months and may actually be approaching a breakup point.
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.

MNW and BITM Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with MNW and BITM

The main advantage of trading using opposite MNW and BITM positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MNW 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 MNW 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.

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