Correlation Between Balanced Fund and Guidepath Multi
Can any of the company-specific risk be diversified away by investing in both Balanced Fund and Guidepath Multi 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 Multi 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 Multi Asset Income, you can compare the effects of market volatilities on Balanced Fund and Guidepath Multi 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 Multi. Check out your portfolio center. Please also check ongoing floating volatility patterns of Balanced Fund and Guidepath Multi.
Diversification Opportunities for Balanced Fund and Guidepath Multi
0.98 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Balanced and Guidepath is 0.98. Overlapping area represents the amount of risk that can be diversified away by holding Balanced Fund Retail and Guidepath Multi Asset Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guidepath Multi Asset 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 Multi. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guidepath Multi Asset has no effect on the direction of Balanced Fund i.e., Balanced Fund and Guidepath Multi go up and down completely randomly.
Pair Corralation between Balanced Fund and Guidepath Multi
Assuming the 90 days horizon Balanced Fund Retail is expected to generate 1.11 times more return on investment than Guidepath Multi. However, Balanced Fund is 1.11 times more volatile than Guidepath Multi Asset Income. It trades about 0.24 of its potential returns per unit of risk. Guidepath Multi Asset Income is currently generating about 0.2 per unit of risk. If you would invest 1,217 in Balanced Fund Retail on May 7, 2025 and sell it today you would earn a total of 83.00 from holding Balanced Fund Retail or generate 6.82% 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 Multi Asset Income
Performance |
Timeline |
Balanced Fund Retail |
Guidepath Multi Asset |
Balanced Fund and Guidepath Multi Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Balanced Fund and Guidepath Multi
The main advantage of trading using opposite Balanced Fund and Guidepath Multi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Balanced Fund position performs unexpectedly, Guidepath Multi 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 Multi will offset losses from the drop in Guidepath Multi'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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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