Correlation Between FXP and DGB

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

Diversification Opportunities for FXP and DGB

0.0
  Correlation Coefficient
 FXP
 DGB

Pay attention - limited upside

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

Pair Corralation between FXP and DGB

If you would invest  1.04  in DGB on December 30, 2024 and sell it today you would lose (0.14) from holding DGB or give up 13.29% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy0.0%
ValuesDaily Returns

FXP  vs.  DGB

 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.
DGB 

Risk-Adjusted Performance

Very Weak

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

FXP and DGB Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with FXP and DGB

The main advantage of trading using opposite FXP and DGB positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FXP position performs unexpectedly, DGB 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 DGB will offset losses from the drop in DGB's long position.
The idea behind FXP and DGB 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 Equity Valuation module to check real value of public entities based on technical and fundamental data.

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