Correlation Between MWAT and JNT

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

Diversification Opportunities for MWAT and JNT

1.0
  Correlation Coefficient

No risk reduction

The 3 months correlation between MWAT and JNT is 1.0. Overlapping area represents the amount of risk that can be diversified away by holding MWAT and JNT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on JNT 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 JNT. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of JNT has no effect on the direction of MWAT i.e., MWAT and JNT go up and down completely randomly.

Pair Corralation between MWAT and JNT

If you would invest  9.27  in JNT on August 30, 2024 and sell it today you would earn a total of  0.00  from holding JNT or generate 0.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
Accuracy100.0%
ValuesDaily Returns

MWAT  vs.  JNT

 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.
JNT 

Risk-Adjusted Performance

0 of 100

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

MWAT and JNT Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with MWAT and JNT

The main advantage of trading using opposite MWAT and JNT positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MWAT position performs unexpectedly, JNT 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 JNT will offset losses from the drop in JNT's long position.
The idea behind MWAT and JNT 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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.

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