Correlation Between Global X and BFIT

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

Diversification Opportunities for Global X and BFIT

-0.16
  Correlation Coefficient

Good diversification

The 3 months correlation between Global and BFIT is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding Global X MSCI and BFIT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BFIT and Global X 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 Global X MSCI are associated (or correlated) with BFIT. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BFIT has no effect on the direction of Global X i.e., Global X and BFIT go up and down completely randomly.

Pair Corralation between Global X and BFIT

If you would invest  1,291  in Global X MSCI on August 27, 2024 and sell it today you would earn a total of  143.00  from holding Global X MSCI or generate 11.08% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy0.4%
ValuesDaily Returns

Global X MSCI  vs.  BFIT

 Performance 
       Timeline  
Global X MSCI 

Risk-Adjusted Performance

0 of 100

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

Risk-Adjusted Performance

0 of 100

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

Global X and BFIT Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Global X and BFIT

The main advantage of trading using opposite Global X and BFIT positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Global X position performs unexpectedly, BFIT 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 BFIT will offset losses from the drop in BFIT's long position.
The idea behind Global X MSCI and BFIT 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.

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