Correlation Between Aquila Tax-free and Siit Equity
Can any of the company-specific risk be diversified away by investing in both Aquila Tax-free and Siit Equity 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 Aquila Tax-free and Siit Equity into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aquila Tax Free Fund and Siit Equity Factor, you can compare the effects of market volatilities on Aquila Tax-free and Siit Equity 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 Aquila Tax-free with a short position of Siit Equity. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aquila Tax-free and Siit Equity.
Diversification Opportunities for Aquila Tax-free and Siit Equity
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Aquila and Siit is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Aquila Tax Free Fund and Siit Equity Factor in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Siit Equity Factor and Aquila Tax-free 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 Aquila Tax Free Fund are associated (or correlated) with Siit Equity. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Siit Equity Factor has no effect on the direction of Aquila Tax-free i.e., Aquila Tax-free and Siit Equity go up and down completely randomly.
Pair Corralation between Aquila Tax-free and Siit Equity
Assuming the 90 days horizon Aquila Tax-free is expected to generate 9.82 times less return on investment than Siit Equity. But when comparing it to its historical volatility, Aquila Tax Free Fund is 5.65 times less risky than Siit Equity. It trades about 0.11 of its potential returns per unit of risk. Siit Equity Factor is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest 1,408 in Siit Equity Factor on May 5, 2025 and sell it today you would earn a total of 121.00 from holding Siit Equity Factor or generate 8.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Aquila Tax Free Fund vs. Siit Equity Factor
Performance |
Timeline |
Aquila Tax Free |
Siit Equity Factor |
Aquila Tax-free and Siit Equity Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aquila Tax-free and Siit Equity
The main advantage of trading using opposite Aquila Tax-free and Siit Equity positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aquila Tax-free position performs unexpectedly, Siit Equity 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 Siit Equity will offset losses from the drop in Siit Equity's long position.Aquila Tax-free vs. Aquila Three Peaks | Aquila Tax-free vs. Aquila Three Peaks | Aquila Tax-free vs. Aquila Three Peaks | Aquila Tax-free vs. Aquila Three Peaks |
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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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
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