Correlation Between REDLANG and Kusama

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

Diversification Opportunities for REDLANG and Kusama

0.69
  Correlation Coefficient

Poor diversification

The 3 months correlation between REDLANG and Kusama is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding REDLANG and Kusama in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kusama and REDLANG 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 REDLANG 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 REDLANG i.e., REDLANG and Kusama go up and down completely randomly.

Pair Corralation between REDLANG and Kusama

Assuming the 90 days trading horizon REDLANG is expected to generate 1.88 times more return on investment than Kusama. However, REDLANG is 1.88 times more volatile than Kusama. It trades about 0.01 of its potential returns per unit of risk. Kusama is currently generating about -0.11 per unit of risk. If you would invest  0.11  in REDLANG on November 27, 2024 and sell it today you would lose (0.03) from holding REDLANG or give up 30.28% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy98.44%
ValuesDaily Returns

REDLANG  vs.  Kusama

 Performance 
       Timeline  
REDLANG 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days REDLANG has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly unsteady essential indicators, REDLANG may actually be approaching a critical reversion point that can send shares even higher in March 2025.
Kusama 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Kusama 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 primary indicators remain rather sound which may send shares a bit higher in March 2025. The latest tumult may also be a sign of longer-term up-swing for Kusama shareholders.

REDLANG and Kusama Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with REDLANG and Kusama

The main advantage of trading using opposite REDLANG and Kusama positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if REDLANG 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 REDLANG 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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