Correlation Between Dunham Small and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Dunham Small and Dow Jones 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 Small and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dunham Small Cap and Dow Jones Industrial, you can compare the effects of market volatilities on Dunham Small and Dow Jones 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 Small with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dunham Small and Dow Jones.
Diversification Opportunities for Dunham Small and Dow Jones
0.97 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Dunham and Dow is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding Dunham Small Cap and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and Dunham Small 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 Small Cap are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Dunham Small i.e., Dunham Small and Dow Jones go up and down completely randomly.
Pair Corralation between Dunham Small and Dow Jones
Assuming the 90 days horizon Dunham Small Cap is expected to generate 1.55 times more return on investment than Dow Jones. However, Dunham Small is 1.55 times more volatile than Dow Jones Industrial. It trades about 0.29 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.38 per unit of risk. If you would invest 1,782 in Dunham Small Cap on September 3, 2024 and sell it today you would earn a total of 155.00 from holding Dunham Small Cap or generate 8.7% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Dunham Small Cap vs. Dow Jones Industrial
Performance |
| Timeline |
Dunham Small and Dow Jones Volatility Contrast
Predicted Return Density |
| Returns |
Dunham Small Cap
Pair trading matchups for Dunham Small
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Dunham Small and Dow Jones
The main advantage of trading using opposite Dunham Small and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dunham Small position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.| Dunham Small vs. Rationalpier 88 Convertible | Dunham Small vs. Putnam Convertible Incm Gwth | Dunham Small vs. Rationalpier 88 Convertible | Dunham Small vs. Advent Claymore Convertible |
| Dow Jones vs. Eastern Co | Dow Jones vs. Uber Technologies | Dow Jones vs. AKITA Drilling | Dow Jones vs. Chemours Co |
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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