Correlation Between BTT and SXP

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

Diversification Opportunities for BTT and SXP

0.0
  Correlation Coefficient
 BTT
 SXP

Pay attention - limited upside

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

Pair Corralation between BTT and SXP

If you would invest  0.00  in BTT on December 28, 2024 and sell it today you would earn a total of  0.00  from holding BTT or generate 0.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

BTT  vs.  SXP

 Performance 
       Timeline  
BTT 

Risk-Adjusted Performance

Very Weak

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

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days SXP has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unsteady performance in the last few months, the Crypto's basic indicators remain rather sound which may send shares a bit higher in April 2025. The latest tumult may also be a sign of longer-term up-swing for SXP shareholders.

BTT and SXP Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with BTT and SXP

The main advantage of trading using opposite BTT and SXP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BTT position performs unexpectedly, SXP 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 SXP will offset losses from the drop in SXP's long position.
The idea behind BTT and SXP 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 Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.

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