Correlation Between Algorand and Satrix Resi

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

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

Diversification Opportunities for Algorand and Satrix Resi

-0.7

Correlation Coefficient

Algorand  Satrix Resi

Excellent diversification

The 3 months correlation between Algorand and Satrix is -0.7. Overlapping area represents the amount of risk that can be diversified away by holding Algorand and Satrix Resi ETF in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Satrix Resi 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 Satrix Resi. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Satrix Resi ETF has no effect on the direction of Algorand i.e., Algorand and Satrix Resi go up and down completely randomly.

Pair Corralation between Algorand and Satrix Resi

Assuming the 90 days trading horizon Algorand is expected to under-perform the Satrix Resi. In addition to that, Algorand is 3.54 times more volatile than Satrix Resi ETF. It trades about -0.12 of its total potential returns per unit of risk. Satrix Resi ETF is currently generating about 0.23 per unit of volatility. If you would invest  551,004  in Satrix Resi ETF on December 25, 2024 and sell it today you would earn a total of  146,696  from holding Satrix Resi ETF or generate 26.62% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Weak
Accuracy	95.24%
Values	Daily Returns

Algorand  vs.  Satrix Resi ETF

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.

Satrix Resi ETF

Risk-Adjusted Performance

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Satrix Resi ETF are ranked lower than 18 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Satrix Resi sustained solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Algorand and Satrix Resi

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

The idea behind Algorand and Satrix Resi 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.

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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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.