Correlation Between Sei and Creditcoin

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

Diversification Opportunities for Sei and Creditcoin

0.95
  Correlation Coefficient

Almost no diversification

The 3 months correlation between Sei and Creditcoin is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Sei and Creditcoin in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Creditcoin and Sei 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 Sei are associated (or correlated) with Creditcoin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Creditcoin has no effect on the direction of Sei i.e., Sei and Creditcoin go up and down completely randomly.

Pair Corralation between Sei and Creditcoin

Assuming the 90 days trading horizon Sei is expected to under-perform the Creditcoin. In addition to that, Sei is 1.52 times more volatile than Creditcoin. It trades about -0.16 of its total potential returns per unit of risk. Creditcoin is currently generating about -0.16 per unit of volatility. If you would invest  106.00  in Creditcoin on December 30, 2024 and sell it today you would lose (41.00) from holding Creditcoin or give up 38.68% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
Accuracy100.0%
ValuesDaily Returns

Sei  vs.  Creditcoin

 Performance 
       Timeline  
Sei 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Sei 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 forward 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 Sei shareholders.
Creditcoin 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Creditcoin 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 Creditcoin shareholders.

Sei and Creditcoin Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Sei and Creditcoin

The main advantage of trading using opposite Sei and Creditcoin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sei position performs unexpectedly, Creditcoin 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 Creditcoin will offset losses from the drop in Creditcoin's long position.
The idea behind Sei and Creditcoin 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.

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