Correlation Between EOSDAC and Kusama

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

Diversification Opportunities for EOSDAC and Kusama

0.21
  Correlation Coefficient

Modest diversification

The 3 months correlation between EOSDAC and Kusama is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding EOSDAC and Kusama in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kusama and EOSDAC 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 EOSDAC are associated (or correlated) with Kusama. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kusama has no effect on the direction of EOSDAC i.e., EOSDAC and Kusama go up and down completely randomly.

Pair Corralation between EOSDAC and Kusama

Assuming the 90 days trading horizon EOSDAC is expected to generate 1.26 times less return on investment than Kusama. But when comparing it to its historical volatility, EOSDAC is 1.17 times less risky than Kusama. It trades about 0.11 of its potential returns per unit of risk. Kusama is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest  1,818  in Kusama on August 30, 2024 and sell it today you would earn a total of  1,930  from holding Kusama or generate 106.16% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

EOSDAC  vs.  Kusama

 Performance 
       Timeline  
EOSDAC 

Risk-Adjusted Performance

8 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in EOSDAC are ranked lower than 8 (%) of all global equities and portfolios over the last 90 days. Despite somewhat unsteady basic indicators, EOSDAC sustained solid returns over the last few months and may actually be approaching a breakup point.
Kusama 

Risk-Adjusted Performance

9 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Kusama are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady primary indicators, Kusama exhibited solid returns over the last few months and may actually be approaching a breakup point.

EOSDAC and Kusama Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with EOSDAC and Kusama

The main advantage of trading using opposite EOSDAC and Kusama positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if EOSDAC position performs unexpectedly, Kusama 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 Kusama will offset losses from the drop in Kusama's long position.
The idea behind EOSDAC and Kusama 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.
Check out your portfolio center.
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.

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