Correlation Between MNW and MWAT

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

Diversification Opportunities for MNW and MWAT

0.28
  Correlation Coefficient

Modest diversification

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

Pair Corralation between MNW and MWAT

If you would invest  41.00  in MNW on September 1, 2024 and sell it today you would lose (1.00) from holding MNW or give up 2.44% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Weak
Accuracy1.54%
ValuesDaily Returns

MNW  vs.  MWAT

 Performance 
       Timeline  
MNW 

Risk-Adjusted Performance

11 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in MNW are ranked lower than 11 (%) 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 

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 and MWAT Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with MNW and MWAT

The main advantage of trading using opposite MNW and MWAT positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MNW position performs unexpectedly, MWAT 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 MWAT will offset losses from the drop in MWAT's long position.
The idea behind MNW and MWAT 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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.

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