Correlation Between Algorand and Fidelity Value

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

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

Diversification Opportunities for Algorand and Fidelity Value

0.87

Correlation Coefficient

Algorand  Fidelity Value

Very poor diversification

The 3 months correlation between Algorand and Fidelity is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Algorand and Fidelity Value ETF in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fidelity Value ETF 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 Fidelity Value. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fidelity Value ETF has no effect on the direction of Algorand i.e., Algorand and Fidelity Value go up and down completely randomly.

Pair Corralation between Algorand and Fidelity Value

Assuming the 90 days trading horizon Algorand is expected to generate 10.16 times more return on investment than Fidelity Value. However, Algorand is 10.16 times more volatile than Fidelity Value ETF. It trades about 0.26 of its potential returns per unit of risk. Fidelity Value ETF is currently generating about 0.19 per unit of risk. If you would invest  11.00  in Algorand on October 25, 2024 and sell it today you would earn a total of  29.00  from holding Algorand or generate 263.64% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Strong
Accuracy	96.83%
Values	Daily Returns

Algorand  vs.  Fidelity Value ETF

Algorand

Risk-Adjusted Performance

20 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Algorand are ranked lower than 20 (%) 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.

Fidelity Value ETF

Risk-Adjusted Performance

14 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Fidelity Value ETF are ranked lower than 14 (%) of all global equities and portfolios over the last 90 days. In spite of very unfluctuating basic indicators, Fidelity Value may actually be approaching a critical reversion point that can send shares even higher in February 2025.

Pair Trading with Algorand and Fidelity Value

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

The idea behind Algorand and Fidelity Value ETF 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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.