Correlation Between MTL and AGVC

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

Diversification Opportunities for MTL and AGVC

0.13
  Correlation Coefficient

Average diversification

The 3 months correlation between MTL and AGVC is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding MTL and AGVC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AGVC and MTL 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 MTL are associated (or correlated) with AGVC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AGVC has no effect on the direction of MTL i.e., MTL and AGVC go up and down completely randomly.

Pair Corralation between MTL and AGVC

If you would invest  156.00  in MTL on September 1, 2024 and sell it today you would lose (1.00) from holding MTL or give up 0.64% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy0.76%
ValuesDaily Returns

MTL  vs.  AGVC

 Performance 
       Timeline  
MTL 

Risk-Adjusted Performance

16 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in MTL are ranked lower than 16 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady essential indicators, MTL exhibited solid returns over the last few months and may actually be approaching a breakup point.
AGVC 

Risk-Adjusted Performance

0 of 100

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

MTL and AGVC Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with MTL and AGVC

The main advantage of trading using opposite MTL and AGVC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MTL position performs unexpectedly, AGVC 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 AGVC will offset losses from the drop in AGVC's long position.
The idea behind MTL and AGVC 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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.

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