Correlation Between MicroSectors FANG and XBTF

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

Diversification Opportunities for MicroSectors FANG and XBTF

-0.42
  Correlation Coefficient

Very good diversification

The 3 months correlation between MicroSectors and XBTF is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding MicroSectors FANG Index and XBTF in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on XBTF and MicroSectors FANG 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 MicroSectors FANG Index are associated (or correlated) with XBTF. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of XBTF has no effect on the direction of MicroSectors FANG i.e., MicroSectors FANG and XBTF go up and down completely randomly.

Pair Corralation between MicroSectors FANG and XBTF

If you would invest  2,853  in XBTF on September 26, 2024 and sell it today you would earn a total of  0.00  from holding XBTF or generate 0.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthVery Weak
Accuracy2.44%
ValuesDaily Returns

MicroSectors FANG Index  vs.  XBTF

 Performance 
       Timeline  
MicroSectors FANG Index 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days MicroSectors FANG Index has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of uncertain performance in the last few months, the Etf's technical and fundamental indicators remain rather sound which may send shares a bit higher in January 2025. The latest tumult may also be a sign of longer-term up-swing for the fund shareholders.
XBTF 

Risk-Adjusted Performance

0 of 100

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

MicroSectors FANG and XBTF Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with MicroSectors FANG and XBTF

The main advantage of trading using opposite MicroSectors FANG and XBTF positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MicroSectors FANG position performs unexpectedly, XBTF 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 XBTF will offset losses from the drop in XBTF's long position.
The idea behind MicroSectors FANG Index and XBTF 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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.

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