Correlation Between FXP and XMX

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

Diversification Opportunities for FXP and XMX

0.0
  Correlation Coefficient
 FXP
 XMX

Pay attention - limited upside

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

Pair Corralation between FXP and XMX

If you would invest  0.00  in XMX on August 30, 2024 and sell it today you would earn a total of  0.00  from holding XMX or generate 9.09% return on investment over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy4.55%
ValuesDaily Returns

FXP  vs.  XMX

 Performance 
       Timeline  
FXP 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
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.
XMX 

Risk-Adjusted Performance

6 of 100

 
Weak
 
Strong
Modest
Compared to the overall equity markets, risk-adjusted returns on investments in XMX are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, XMX exhibited solid returns over the last few months and may actually be approaching a breakup point.

FXP and XMX Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with FXP and XMX

The main advantage of trading using opposite FXP and XMX positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FXP position performs unexpectedly, XMX 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 XMX will offset losses from the drop in XMX's long position.
The idea behind FXP and XMX 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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