Correlation Between FXP and MTL

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

Diversification Opportunities for FXP and MTL

0.0
  Correlation Coefficient
 FXP
 MTL

Pay attention - limited upside

The 3 months correlation between FXP and MTL is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding FXP and MTL in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MTL and FXP 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 FXP are associated (or correlated) with MTL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MTL has no effect on the direction of FXP i.e., FXP and MTL go up and down completely randomly.

Pair Corralation between FXP and MTL

If you would invest (100.00) in FXP on November 27, 2024 and sell it today you would earn a total of  100.00  from holding FXP or generate -100.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy0.0%
ValuesDaily Returns

FXP  vs.  MTL

 Performance 
       Timeline  
FXP 

Risk-Adjusted Performance

Very Weak

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

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days MTL has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unsteady performance in the last few months, the Crypto's essential indicators remain rather sound which may send shares a bit higher in March 2025. The latest tumult may also be a sign of longer-term up-swing for MTL shareholders.

FXP and MTL Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with FXP and MTL

The main advantage of trading using opposite FXP and MTL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FXP position performs unexpectedly, MTL 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 MTL will offset losses from the drop in MTL's long position.
The idea behind FXP and MTL 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.

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