Correlation Between Balanced Fund and Guidepath(r) Growth
Can any of the company-specific risk be diversified away by investing in both Balanced Fund and Guidepath(r) 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 Balanced Fund and Guidepath(r) Growth into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Balanced Fund Retail and Guidepath Growth Allocation, you can compare the effects of market volatilities on Balanced Fund and Guidepath(r) 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 Balanced Fund with a short position of Guidepath(r) Growth. Check out your portfolio center. Please also check ongoing floating volatility patterns of Balanced Fund and Guidepath(r) Growth.
Diversification Opportunities for Balanced Fund and Guidepath(r) Growth
0.99 | Correlation Coefficient |
No risk reduction
The 3 months correlation between Balanced and Guidepath(r) is 0.99. Overlapping area represents the amount of risk that can be diversified away by holding Balanced Fund Retail and Guidepath Growth Allocation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guidepath Growth All and Balanced Fund 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 Balanced Fund Retail are associated (or correlated) with Guidepath(r) Growth. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guidepath Growth All has no effect on the direction of Balanced Fund i.e., Balanced Fund and Guidepath(r) Growth go up and down completely randomly.
Pair Corralation between Balanced Fund and Guidepath(r) Growth
Assuming the 90 days horizon Balanced Fund is expected to generate 1.75 times less return on investment than Guidepath(r) Growth. But when comparing it to its historical volatility, Balanced Fund Retail is 1.68 times less risky than Guidepath(r) Growth. It trades about 0.22 of its potential returns per unit of risk. Guidepath Growth Allocation is currently generating about 0.23 of returns per unit of risk over similar time horizon. If you would invest 1,832 in Guidepath Growth Allocation on May 25, 2025 and sell it today you would earn a total of 172.00 from holding Guidepath Growth Allocation or generate 9.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Balanced Fund Retail vs. Guidepath Growth Allocation
Performance |
Timeline |
Balanced Fund Retail |
Guidepath Growth All |
Balanced Fund and Guidepath(r) Growth Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Balanced Fund and Guidepath(r) Growth
The main advantage of trading using opposite Balanced Fund and Guidepath(r) Growth positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Balanced Fund position performs unexpectedly, Guidepath(r) 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 Guidepath(r) Growth will offset losses from the drop in Guidepath(r) Growth's long position.Balanced Fund vs. Muirfield Fund Retail | Balanced Fund vs. Dynamic Growth Fund | Balanced Fund vs. Infrastructure Fund Retail | Balanced Fund vs. Quantex Fund Retail |
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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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