Correlation Between Dreyfus Government and Wt Mutual
Can any of the company-specific risk be diversified away by investing in both Dreyfus Government and Wt Mutual 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 Dreyfus Government and Wt Mutual into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dreyfus Government Cash and Wt Mutual Fund, you can compare the effects of market volatilities on Dreyfus Government and Wt Mutual 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 Dreyfus Government with a short position of Wt Mutual. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dreyfus Government and Wt Mutual.
Diversification Opportunities for Dreyfus Government and Wt Mutual
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Dreyfus and WGSXX is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Dreyfus Government Cash and Wt Mutual Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wt Mutual Fund and Dreyfus Government 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 Dreyfus Government Cash are associated (or correlated) with Wt Mutual. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wt Mutual Fund has no effect on the direction of Dreyfus Government i.e., Dreyfus Government and Wt Mutual go up and down completely randomly.
Pair Corralation between Dreyfus Government and Wt Mutual
Assuming the 90 days horizon Dreyfus Government is expected to generate 26.66 times less return on investment than Wt Mutual. But when comparing it to its historical volatility, Dreyfus Government Cash is 17.38 times less risky than Wt Mutual. It trades about 0.02 of its potential returns per unit of risk. Wt Mutual Fund is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 92.00 in Wt Mutual Fund on October 24, 2024 and sell it today you would earn a total of 8.00 from holding Wt Mutual Fund or generate 8.7% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 98.8% |
Values | Daily Returns |
Dreyfus Government Cash vs. Wt Mutual Fund
Performance |
Timeline |
Dreyfus Government Cash |
Wt Mutual Fund |
Dreyfus Government and Wt Mutual Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dreyfus Government and Wt Mutual
The main advantage of trading using opposite Dreyfus Government and Wt Mutual positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dreyfus Government position performs unexpectedly, Wt Mutual 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 Wt Mutual will offset losses from the drop in Wt Mutual's long position.Dreyfus Government vs. The Gold Bullion | Dreyfus Government vs. Precious Metals And | Dreyfus Government vs. Gamco Global Gold | Dreyfus Government vs. World Precious Minerals |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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