Correlation Between XLFS and DHDG

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

Diversification Opportunities for XLFS and DHDG

0.0
  Correlation Coefficient

Pay attention - limited upside

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

Pair Corralation between XLFS and DHDG

If you would invest (100.00) in DHDG on January 24, 2024 and sell it today you would earn a total of  100.00  from holding DHDG or generate -100.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

XLFS  vs.  DHDG

 Performance 
       Timeline  
XLFS 

Risk-Adjusted Performance

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Weak
 
Strong
Very Weak
Over the last 90 days XLFS has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable technical and fundamental indicators, XLFS is not utilizing all of its potentials. The current stock price uproar, may contribute to short-horizon losses for the private investors.
DHDG 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days DHDG has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable fundamental indicators, DHDG is not utilizing all of its potentials. The recent stock price disturbance, may contribute to mid-run losses for the stockholders.

XLFS and DHDG Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with XLFS and DHDG

The main advantage of trading using opposite XLFS and DHDG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if XLFS position performs unexpectedly, DHDG 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 DHDG will offset losses from the drop in DHDG's long position.
The idea behind XLFS and DHDG 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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.

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