Correlation Between Georgia Tax-free and Guidestone Funds
Can any of the company-specific risk be diversified away by investing in both Georgia Tax-free and Guidestone Funds 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 Georgia Tax-free and Guidestone Funds into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Georgia Tax Free Bond and Guidestone Funds International, you can compare the effects of market volatilities on Georgia Tax-free and Guidestone Funds 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 Georgia Tax-free with a short position of Guidestone Funds. Check out your portfolio center. Please also check ongoing floating volatility patterns of Georgia Tax-free and Guidestone Funds.
Diversification Opportunities for Georgia Tax-free and Guidestone Funds
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Georgia and Guidestone is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding Georgia Tax Free Bond and Guidestone Funds International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guidestone Funds Int and Georgia 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 Georgia Tax Free Bond are associated (or correlated) with Guidestone Funds. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guidestone Funds Int has no effect on the direction of Georgia Tax-free i.e., Georgia Tax-free and Guidestone Funds go up and down completely randomly.
Pair Corralation between Georgia Tax-free and Guidestone Funds
Assuming the 90 days horizon Georgia Tax Free Bond is expected to generate 0.3 times more return on investment than Guidestone Funds. However, Georgia Tax Free Bond is 3.35 times less risky than Guidestone Funds. It trades about -0.34 of its potential returns per unit of risk. Guidestone Funds International is currently generating about -0.38 per unit of risk. If you would invest 1,110 in Georgia Tax Free Bond on October 9, 2024 and sell it today you would lose (20.00) from holding Georgia Tax Free Bond or give up 1.8% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Georgia Tax Free Bond vs. Guidestone Funds International
Performance |
Timeline |
Georgia Tax Free |
Guidestone Funds Int |
Georgia Tax-free and Guidestone Funds Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Georgia Tax-free and Guidestone Funds
The main advantage of trading using opposite Georgia Tax-free and Guidestone Funds positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Georgia Tax-free position performs unexpectedly, Guidestone Funds 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 Guidestone Funds will offset losses from the drop in Guidestone Funds' long position.Georgia Tax-free vs. Siit High Yield | Georgia Tax-free vs. Lgm Risk Managed | Georgia Tax-free vs. Ab High Income | Georgia Tax-free vs. Inverse High Yield |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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