Correlation Between Dunham High and Income Fund
Can any of the company-specific risk be diversified away by investing in both Dunham High and Income Fund 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 High and Income Fund into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dunham High Yield and Income Fund Income, you can compare the effects of market volatilities on Dunham High and Income Fund 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 High with a short position of Income Fund. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dunham High and Income Fund.
Diversification Opportunities for Dunham High and Income Fund
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Dunham and Income is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Dunham High Yield and Income Fund Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Income Fund Income and Dunham High 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 High Yield are associated (or correlated) with Income Fund. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Income Fund Income has no effect on the direction of Dunham High i.e., Dunham High and Income Fund go up and down completely randomly.
Pair Corralation between Dunham High and Income Fund
Assuming the 90 days horizon Dunham High Yield is expected to generate 0.69 times more return on investment than Income Fund. However, Dunham High Yield is 1.45 times less risky than Income Fund. It trades about 0.15 of its potential returns per unit of risk. Income Fund Income is currently generating about 0.04 per unit of risk. If you would invest 732.00 in Dunham High Yield on October 26, 2024 and sell it today you would earn a total of 142.00 from holding Dunham High Yield or generate 19.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Dunham High Yield vs. Income Fund Income
Performance |
Timeline |
Dunham High Yield |
Income Fund Income |
Dunham High and Income Fund Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dunham High and Income Fund
The main advantage of trading using opposite Dunham High and Income Fund positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dunham High position performs unexpectedly, Income Fund 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 Income Fund will offset losses from the drop in Income Fund's long position.Dunham High vs. Rational Strategic Allocation | Dunham High vs. Enhanced Large Pany | Dunham High vs. T Rowe Price | Dunham High vs. Upright Assets Allocation |
Income Fund vs. Victory Diversified Stock | Income Fund vs. Victory Sophus Emerging | Income Fund vs. Target Retirement 2040 | Income Fund vs. Target Retirement 2050 |
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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