Correlation Between Guidemark(r) Large and Dreyfus Global
Can any of the company-specific risk be diversified away by investing in both Guidemark(r) Large and Dreyfus Global 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(r) Large and Dreyfus Global 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 Dreyfus Global Real, you can compare the effects of market volatilities on Guidemark(r) Large and Dreyfus Global 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(r) Large with a short position of Dreyfus Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of Guidemark(r) Large and Dreyfus Global.
Diversification Opportunities for Guidemark(r) Large and Dreyfus Global
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Guidemark(r) and Dreyfus is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Guidemark Large Cap and Dreyfus Global Real in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dreyfus Global Real and Guidemark(r) 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 Dreyfus Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dreyfus Global Real has no effect on the direction of Guidemark(r) Large i.e., Guidemark(r) Large and Dreyfus Global go up and down completely randomly.
Pair Corralation between Guidemark(r) Large and Dreyfus Global
Assuming the 90 days horizon Guidemark Large Cap is expected to generate 2.08 times more return on investment than Dreyfus Global. However, Guidemark(r) Large is 2.08 times more volatile than Dreyfus Global Real. It trades about 0.04 of its potential returns per unit of risk. Dreyfus Global Real is currently generating about 0.06 per unit of risk. If you would invest 3,341 in Guidemark Large Cap on October 27, 2024 and sell it today you would earn a total of 71.00 from holding Guidemark Large Cap or generate 2.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Guidemark Large Cap vs. Dreyfus Global Real
Performance |
Timeline |
Guidemark Large Cap |
Dreyfus Global Real |
Guidemark(r) Large and Dreyfus Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Guidemark(r) Large and Dreyfus Global
The main advantage of trading using opposite Guidemark(r) Large and Dreyfus Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Guidemark(r) Large position performs unexpectedly, Dreyfus Global 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 Dreyfus Global will offset losses from the drop in Dreyfus Global's long position.Guidemark(r) Large vs. Virtus Convertible | Guidemark(r) Large vs. Allianzgi Convertible Income | Guidemark(r) Large vs. Allianzgi Convertible Income | Guidemark(r) Large vs. Columbia Convertible 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 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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