Correlation Between Guidemark Large and Balanced Strategy
Can any of the company-specific risk be diversified away by investing in both Guidemark Large and Balanced Strategy 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 Guidemark Large and Balanced Strategy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Guidemark Large Cap and Balanced Strategy Fund, you can compare the effects of market volatilities on Guidemark Large and Balanced Strategy 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 Guidemark Large with a short position of Balanced Strategy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Guidemark Large and Balanced Strategy.
Diversification Opportunities for Guidemark Large and Balanced Strategy
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Guidemark and Balanced is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Guidemark Large Cap and Balanced Strategy Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Balanced Strategy and Guidemark Large 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 Guidemark Large Cap are associated (or correlated) with Balanced Strategy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Balanced Strategy has no effect on the direction of Guidemark Large i.e., Guidemark Large and Balanced Strategy go up and down completely randomly.
Pair Corralation between Guidemark Large and Balanced Strategy
Assuming the 90 days horizon Guidemark Large Cap is expected to generate 1.63 times more return on investment than Balanced Strategy. However, Guidemark Large is 1.63 times more volatile than Balanced Strategy Fund. It trades about 0.25 of its potential returns per unit of risk. Balanced Strategy Fund is currently generating about 0.24 per unit of risk. If you would invest 1,277 in Guidemark Large Cap on July 7, 2025 and sell it today you would earn a total of 130.00 from holding Guidemark Large Cap or generate 10.18% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 98.46% |
Values | Daily Returns |
Guidemark Large Cap vs. Balanced Strategy Fund
Performance |
Timeline |
Guidemark Large Cap |
Balanced Strategy |
Guidemark Large and Balanced Strategy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Guidemark Large and Balanced Strategy
The main advantage of trading using opposite Guidemark Large and Balanced Strategy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Guidemark Large position performs unexpectedly, Balanced Strategy 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 Balanced Strategy will offset losses from the drop in Balanced Strategy's long position.Guidemark Large vs. Bbh Trust | Guidemark Large vs. The Government Fixed | Guidemark Large vs. Dunham Porategovernment Bond | Guidemark Large vs. Us Government Securities |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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