Correlation Between Starknet and SXP

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

Diversification Opportunities for Starknet and SXP

0.96
  Correlation Coefficient

Almost no diversification

The 3 months correlation between Starknet and SXP is 0.96. Overlapping area represents the amount of risk that can be diversified away by holding Starknet and SXP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SXP and Starknet 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 Starknet 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 Starknet i.e., Starknet and SXP go up and down completely randomly.

Pair Corralation between Starknet and SXP

Assuming the 90 days trading horizon Starknet is expected to under-perform the SXP. In addition to that, Starknet is 1.18 times more volatile than SXP. It trades about -0.26 of its total potential returns per unit of risk. SXP is currently generating about -0.17 per unit of volatility. If you would invest  34.00  in SXP on December 30, 2024 and sell it today you would lose (16.00) from holding SXP or give up 47.06% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
Accuracy100.0%
ValuesDaily Returns

Starknet  vs.  SXP

 Performance 
       Timeline  
Starknet 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Starknet 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 fundamental 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 Starknet 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.

Starknet and SXP Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Starknet and SXP

The main advantage of trading using opposite Starknet and SXP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Starknet 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 Starknet 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 Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.

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