Correlation Between Cosmos and Algorand

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

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

Diversification Opportunities for Cosmos and Algorand

0.9

Correlation Coefficient

Cosmos  Algorand

Almost no diversification

The 3 months correlation between Cosmos and Algorand is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Cosmos and Algorand in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Algorand and Cosmos 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 Cosmos are associated (or correlated) with Algorand. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Algorand has no effect on the direction of Cosmos i.e., Cosmos and Algorand go up and down completely randomly.

Pair Corralation between Cosmos and Algorand

Assuming the 90 days trading horizon Cosmos is expected to generate 0.85 times more return on investment than Algorand. However, Cosmos is 1.18 times less risky than Algorand. It trades about 0.0 of its potential returns per unit of risk. Algorand is currently generating about -0.14 per unit of risk. If you would invest  463.00  in Cosmos on December 29, 2024 and sell it today you would lose (8.00) from holding Cosmos or give up 1.73% of portfolio value over 90 days.

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

Cosmos  vs.  Algorand

Cosmos

Risk-Adjusted Performance

Very Weak

Over the last 90 days Cosmos 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 fundamental 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 Cosmos shareholders.

Algorand

Risk-Adjusted Performance

Very Weak

Over the last 90 days Algorand 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 fundamental 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 Algorand shareholders.

Pair Trading with Cosmos and Algorand

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

The idea behind Cosmos and Algorand 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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.