Correlation Between Algorand and Pixels

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

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

Diversification Opportunities for Algorand and Pixels

0.9

Correlation Coefficient

Algorand  Pixels

Almost no diversification

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

Pair Corralation between Algorand and Pixels

Assuming the 90 days trading horizon Algorand is expected to generate 0.88 times more return on investment than Pixels. However, Algorand is 1.13 times less risky than Pixels. It trades about -0.09 of its potential returns per unit of risk. Pixels is currently generating about -0.3 per unit of risk. If you would invest  33.00  in Algorand on December 29, 2024 and sell it today you would lose (13.00) from holding Algorand or give up 39.39% of portfolio value over 90 days.

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

Algorand  vs.  Pixels

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.

Pixels

Risk-Adjusted Performance

Very Weak

Over the last 90 days Pixels 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 Pixels shareholders.

Pair Trading with Algorand and Pixels

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

The idea behind Algorand and Pixels 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.