Correlation Between Goldman Sachs and Dunham Focused
Can any of the company-specific risk be diversified away by investing in both Goldman Sachs and Dunham Focused 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 Goldman Sachs and Dunham Focused into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Goldman Sachs Clean and Dunham Focused Large, you can compare the effects of market volatilities on Goldman Sachs and Dunham Focused 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 Goldman Sachs with a short position of Dunham Focused. Check out your portfolio center. Please also check ongoing floating volatility patterns of Goldman Sachs and Dunham Focused.
Diversification Opportunities for Goldman Sachs and Dunham Focused
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Goldman and Dunham is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Goldman Sachs Clean and Dunham Focused Large in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dunham Focused Large and Goldman Sachs 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 Goldman Sachs Clean are associated (or correlated) with Dunham Focused. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dunham Focused Large has no effect on the direction of Goldman Sachs i.e., Goldman Sachs and Dunham Focused go up and down completely randomly.
Pair Corralation between Goldman Sachs and Dunham Focused
Assuming the 90 days horizon Goldman Sachs Clean is expected to under-perform the Dunham Focused. But the mutual fund apears to be less risky and, when comparing its historical volatility, Goldman Sachs Clean is 1.69 times less risky than Dunham Focused. The mutual fund trades about -0.2 of its potential returns per unit of risk. The Dunham Focused Large is currently generating about -0.05 of returns per unit of risk over similar time horizon. If you would invest 4,328 in Dunham Focused Large on October 21, 2024 and sell it today you would lose (335.00) from holding Dunham Focused Large or give up 7.74% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Goldman Sachs Clean vs. Dunham Focused Large
Performance |
Timeline |
Goldman Sachs Clean |
Dunham Focused Large |
Goldman Sachs and Dunham Focused Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Goldman Sachs and Dunham Focused
The main advantage of trading using opposite Goldman Sachs and Dunham Focused positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Goldman Sachs position performs unexpectedly, Dunham Focused 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 Dunham Focused will offset losses from the drop in Dunham Focused's long position.Goldman Sachs vs. Ridgeworth Seix Government | Goldman Sachs vs. Nationwide Government Bond | Goldman Sachs vs. Voya Government Money | Goldman Sachs vs. Intermediate Government Bond |
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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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