Correlation Between Value Equity and Guidestone Growth
Can any of the company-specific risk be diversified away by investing in both Value Equity and Guidestone Growth 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 Value Equity and Guidestone Growth into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Value Equity Institutional and Guidestone Growth Equity, you can compare the effects of market volatilities on Value Equity and Guidestone Growth 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 Value Equity with a short position of Guidestone Growth. Check out your portfolio center. Please also check ongoing floating volatility patterns of Value Equity and Guidestone Growth.
Diversification Opportunities for Value Equity and Guidestone Growth
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Value and Guidestone is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Value Equity Institutional and Guidestone Growth Equity in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guidestone Growth Equity and Value Equity 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 Value Equity Institutional are associated (or correlated) with Guidestone Growth. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guidestone Growth Equity has no effect on the direction of Value Equity i.e., Value Equity and Guidestone Growth go up and down completely randomly.
Pair Corralation between Value Equity and Guidestone Growth
Assuming the 90 days horizon Value Equity Institutional is expected to generate 0.55 times more return on investment than Guidestone Growth. However, Value Equity Institutional is 1.81 times less risky than Guidestone Growth. It trades about 0.04 of its potential returns per unit of risk. Guidestone Growth Equity is currently generating about -0.12 per unit of risk. If you would invest 1,875 in Value Equity Institutional on December 29, 2024 and sell it today you would earn a total of 31.00 from holding Value Equity Institutional or generate 1.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Value Equity Institutional vs. Guidestone Growth Equity
Performance |
Timeline |
Value Equity Institu |
Guidestone Growth Equity |
Value Equity and Guidestone Growth Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Value Equity and Guidestone Growth
The main advantage of trading using opposite Value Equity and Guidestone Growth positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Value Equity position performs unexpectedly, Guidestone Growth 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 Growth will offset losses from the drop in Guidestone Growth's long position.Value Equity vs. Oakhurst Short Duration | Value Equity vs. Prudential Short Duration | Value Equity vs. Pace High Yield | Value Equity vs. Tiaa Cref High Yield Fund |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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