Correlation Between JAR and Kusama

Can any of the company-specific risk be diversified away by investing in both JAR 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 JAR and Kusama into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between JAR and Kusama, you can compare the effects of market volatilities on JAR 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 JAR with a short position of Kusama. Check out your portfolio center. Please also check ongoing floating volatility patterns of JAR and Kusama.

Diversification Opportunities for JAR and Kusama

0.11

Correlation Coefficient

JAR  Kusama

Average diversification

The 3 months correlation between JAR and Kusama is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding JAR and Kusama in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kusama and JAR 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 JAR 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 JAR i.e., JAR and Kusama go up and down completely randomly.

Pair Corralation between JAR and Kusama

Assuming the 90 days trading horizon JAR is expected to generate 0.43 times more return on investment than Kusama. However, JAR is 2.35 times less risky than Kusama. It trades about -0.1 of its potential returns per unit of risk. Kusama is currently generating about -0.11 per unit of risk. If you would invest  0.38  in JAR on November 27, 2024 and sell it today you would lose (0.07) from holding JAR or give up 19.13% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Insignificant
Accuracy	100.0%
Values	Daily Returns

JAR  vs.  Kusama

JAR

Risk-Adjusted Performance

Very Weak

Over the last 90 days JAR 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 March 2025. The latest tumult may also be a sign of longer-term up-swing for JAR shareholders.

Kusama

Risk-Adjusted Performance

Very Weak

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.

Pair Trading with JAR and Kusama

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

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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.