Correlation Between Dunham Monthly and Dunham Small
Can any of the company-specific risk be diversified away by investing in both Dunham Monthly and Dunham Small 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 Dunham Monthly and Dunham Small into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dunham Monthly Distribution and Dunham Small Cap, you can compare the effects of market volatilities on Dunham Monthly and Dunham Small 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 Dunham Monthly with a short position of Dunham Small. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dunham Monthly and Dunham Small.
Diversification Opportunities for Dunham Monthly and Dunham Small
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Dunham and Dunham is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding Dunham Monthly Distribution and Dunham Small Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dunham Small Cap and Dunham Monthly 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 Dunham Monthly Distribution are associated (or correlated) with Dunham Small. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dunham Small Cap has no effect on the direction of Dunham Monthly i.e., Dunham Monthly and Dunham Small go up and down completely randomly.
Pair Corralation between Dunham Monthly and Dunham Small
Assuming the 90 days horizon Dunham Monthly Distribution is expected to generate 0.07 times more return on investment than Dunham Small. However, Dunham Monthly Distribution is 13.61 times less risky than Dunham Small. It trades about 0.24 of its potential returns per unit of risk. Dunham Small Cap is currently generating about -0.14 per unit of risk. If you would invest 2,843 in Dunham Monthly Distribution on December 29, 2024 and sell it today you would earn a total of 43.00 from holding Dunham Monthly Distribution or generate 1.51% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Dunham Monthly Distribution vs. Dunham Small Cap
Performance |
Timeline |
Dunham Monthly Distr |
Dunham Small Cap |
Dunham Monthly and Dunham Small Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dunham Monthly and Dunham Small
The main advantage of trading using opposite Dunham Monthly and Dunham Small positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dunham Monthly position performs unexpectedly, Dunham Small 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 Small will offset losses from the drop in Dunham Small's long position.Dunham Monthly vs. Dunham International Stock | Dunham Monthly vs. Dunham Porategovernment Bond | Dunham Monthly vs. Dunham High Yield | Dunham Monthly vs. Dunham Appreciation Income |
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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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