Correlation Between MET and PLBT

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

Diversification Opportunities for MET and PLBT

0.42
  Correlation Coefficient

Very weak diversification

The 3 months correlation between MET and PLBT is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding MET and PLBT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PLBT and MET 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 MET are associated (or correlated) with PLBT. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PLBT has no effect on the direction of MET i.e., MET and PLBT go up and down completely randomly.

Pair Corralation between MET and PLBT

If you would invest  41.00  in MET on September 2, 2024 and sell it today you would earn a total of  17.00  from holding MET or generate 41.46% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy1.52%
ValuesDaily Returns

MET  vs.  PLBT

 Performance 
       Timeline  
MET 

Risk-Adjusted Performance

9 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in MET are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, MET exhibited solid returns over the last few months and may actually be approaching a breakup point.
PLBT 

Risk-Adjusted Performance

0 of 100

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

MET and PLBT Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with MET and PLBT

The main advantage of trading using opposite MET and PLBT positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MET position performs unexpectedly, PLBT 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 PLBT will offset losses from the drop in PLBT's long position.
The idea behind MET and PLBT 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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.

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