Correlation Between MWAT and MNW

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

Diversification Opportunities for MWAT and MNW

0.14
  Correlation Coefficient

Average diversification

The 3 months correlation between MWAT and MNW is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding MWAT and MNW in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MNW and MWAT 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 MWAT are associated (or correlated) with MNW. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MNW has no effect on the direction of MWAT i.e., MWAT and MNW go up and down completely randomly.

Pair Corralation between MWAT and MNW

If you would invest  40.00  in MNW on August 30, 2024 and sell it today you would earn a total of  0.00  from holding MNW or generate 0.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy1.56%
ValuesDaily Returns

MWAT  vs.  MNW

 Performance 
       Timeline  
MWAT 

Risk-Adjusted Performance

0 of 100

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

MWAT and MNW Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with MWAT and MNW

The main advantage of trading using opposite MWAT and MNW positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MWAT position performs unexpectedly, MNW 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 MNW will offset losses from the drop in MNW's long position.
The idea behind MWAT and MNW 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.

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