Correlation Between JAR and Altlayer

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

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

Diversification Opportunities for JAR and Altlayer

0.8

Correlation Coefficient

JAR  Altlayer

Very poor diversification

The 3 months correlation between JAR and Altlayer is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding JAR and Altlayer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Altlayer 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 Altlayer. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Altlayer has no effect on the direction of JAR i.e., JAR and Altlayer go up and down completely randomly.

Pair Corralation between JAR and Altlayer

Assuming the 90 days trading horizon JAR is expected to generate 0.36 times more return on investment than Altlayer. However, JAR is 2.8 times less risky than Altlayer. It trades about -0.05 of its potential returns per unit of risk. Altlayer is currently generating about -0.22 per unit of risk. If you would invest  0.26  in JAR on January 30, 2024 and sell it today you would lose (0.01) from holding JAR or give up 3.13% of portfolio value over 90 days.

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

JAR  vs.  Altlayer

JAR

Risk-Adjusted Performance

15 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in JAR are ranked lower than 15 (%) 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.

Altlayer

Risk-Adjusted Performance

9 of 100

OK

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

Pair Trading with JAR and Altlayer

The main advantage of trading using opposite JAR and Altlayer positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JAR position performs unexpectedly, Altlayer 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 Altlayer will offset losses from the drop in Altlayer's long position.

The idea behind JAR and Altlayer 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.