Correlation Between Solana and ICOS

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

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

Diversification Opportunities for Solana and ICOS

0.0

Correlation Coefficient

Solana  ICOS

Pay attention - limited upside

The 3 months correlation between Solana and ICOS is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Solana and ICOS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ICOS and Solana 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 Solana are associated (or correlated) with ICOS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ICOS has no effect on the direction of Solana i.e., Solana and ICOS go up and down completely randomly.

Pair Corralation between Solana and ICOS

If you would invest (100.00) in ICOS on December 29, 2024 and sell it today you would earn a total of  100.00  from holding ICOS or generate -100.0% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Flat
Strength	Insignificant
Accuracy	0.0%
Values	Daily Returns

Solana  vs.  ICOS

Solana

Risk-Adjusted Performance

Very Weak

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

ICOS

Risk-Adjusted Performance

Very Weak

Over the last 90 days ICOS has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound fundamental indicators, ICOS is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.

Pair Trading with Solana and ICOS

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

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