Correlation Between Kusama and JAR

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

Diversification Opportunities for Kusama and JAR

0.63
  Correlation Coefficient

Poor diversification

The 3 months correlation between Kusama and JAR is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding Kusama and JAR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on JAR and Kusama 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 Kusama are associated (or correlated) with JAR. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of JAR has no effect on the direction of Kusama i.e., Kusama and JAR go up and down completely randomly.

Pair Corralation between Kusama and JAR

Assuming the 90 days trading horizon Kusama is expected to under-perform the JAR. In addition to that, Kusama is 1.59 times more volatile than JAR. It trades about -0.26 of its total potential returns per unit of risk. JAR is currently generating about -0.02 per unit of volatility. If you would invest  0.38  in JAR on November 1, 2024 and sell it today you would lose (0.01) from holding JAR or give up 2.89% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy95.45%
ValuesDaily Returns

Kusama  vs.  JAR

 Performance 
       Timeline  
Kusama 

Risk-Adjusted Performance

7 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Kusama are ranked lower than 7 (%) 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.
JAR 

Risk-Adjusted Performance

10 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in JAR are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady basic indicators, JAR exhibited solid returns over the last few months and may actually be approaching a breakup point.

Kusama and JAR Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Kusama and JAR

The main advantage of trading using opposite Kusama and JAR positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kusama position performs unexpectedly, JAR 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 JAR will offset losses from the drop in JAR's long position.
The idea behind Kusama and JAR 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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.

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