Correlation Between Smallcap World and Guidepath Multi
Can any of the company-specific risk be diversified away by investing in both Smallcap World 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 Smallcap World and Guidepath Multi into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Smallcap World Fund and Guidepath Multi Asset Income, you can compare the effects of market volatilities on Smallcap World 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 Smallcap World with a short position of Guidepath Multi. Check out your portfolio center. Please also check ongoing floating volatility patterns of Smallcap World and Guidepath Multi.
Diversification Opportunities for Smallcap World and Guidepath Multi
0.98 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Smallcap and Guidepath is 0.98. Overlapping area represents the amount of risk that can be diversified away by holding Smallcap World Fund 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 Smallcap World 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 Smallcap World Fund 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 Smallcap World i.e., Smallcap World and Guidepath Multi go up and down completely randomly.
Pair Corralation between Smallcap World and Guidepath Multi
Assuming the 90 days horizon Smallcap World Fund is expected to generate 1.99 times more return on investment than Guidepath Multi. However, Smallcap World is 1.99 times more volatile than Guidepath Multi Asset Income. It trades about 0.22 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 6,600 in Smallcap World Fund on May 7, 2025 and sell it today you would earn a total of 746.00 from holding Smallcap World Fund or generate 11.3% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Smallcap World Fund vs. Guidepath Multi Asset Income
Performance |
Timeline |
Smallcap World |
Guidepath Multi Asset |
Smallcap World and Guidepath Multi Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Smallcap World and Guidepath Multi
The main advantage of trading using opposite Smallcap World and Guidepath Multi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Smallcap World 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.Smallcap World vs. Qs Global Equity | Smallcap World vs. Qs Large Cap | Smallcap World vs. Siit Large Cap | Smallcap World vs. Mh Elite 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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