Correlation Between Algorand and Abacus FCF

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

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

Diversification Opportunities for Algorand and Abacus FCF

0.72

Correlation Coefficient

Algorand  Abacus FCF

Poor diversification

The 3 months correlation between Algorand and Abacus is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Algorand and Abacus FCF Leaders in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Abacus FCF Leaders 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 Abacus FCF. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Abacus FCF Leaders has no effect on the direction of Algorand i.e., Algorand and Abacus FCF go up and down completely randomly.

Pair Corralation between Algorand and Abacus FCF

Assuming the 90 days trading horizon Algorand is expected to generate 8.63 times more return on investment than Abacus FCF. However, Algorand is 8.63 times more volatile than Abacus FCF Leaders. It trades about -0.02 of its potential returns per unit of risk. Abacus FCF Leaders is currently generating about -0.21 per unit of risk. If you would invest  42.00  in Algorand on October 10, 2024 and sell it today you would lose (4.00) from holding Algorand or give up 9.52% of portfolio value over 90 days.

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

Algorand  vs.  Abacus FCF Leaders

Algorand

Risk-Adjusted Performance

18 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Algorand are ranked lower than 18 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, Algorand exhibited solid returns over the last few months and may actually be approaching a breakup point.

Abacus FCF Leaders

Risk-Adjusted Performance

2 of 100

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in Abacus FCF Leaders are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. Despite quite persistent technical and fundamental indicators, Abacus FCF is not utilizing all of its potentials. The current stock price mess, may contribute to short-term losses for the institutional investors.

Pair Trading with Algorand and Abacus FCF

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

The idea behind Algorand and Abacus FCF Leaders 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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.