Correlation Between Dow Jones and Calamos Dividend
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Calamos Dividend 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 Dow Jones and Calamos Dividend into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dow Jones Industrial and Calamos Dividend Growth, you can compare the effects of market volatilities on Dow Jones and Calamos Dividend 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 Dow Jones with a short position of Calamos Dividend. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Calamos Dividend.
Diversification Opportunities for Dow Jones and Calamos Dividend
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Dow and Calamos is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Calamos Dividend Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Calamos Dividend Growth and Dow Jones 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 Dow Jones Industrial are associated (or correlated) with Calamos Dividend. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Calamos Dividend Growth has no effect on the direction of Dow Jones i.e., Dow Jones and Calamos Dividend go up and down completely randomly.
Pair Corralation between Dow Jones and Calamos Dividend
Assuming the 90 days trading horizon Dow Jones is expected to generate 1.1 times less return on investment than Calamos Dividend. But when comparing it to its historical volatility, Dow Jones Industrial is 1.15 times less risky than Calamos Dividend. It trades about 0.1 of its potential returns per unit of risk. Calamos Dividend Growth is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 1,265 in Calamos Dividend Growth on December 1, 2024 and sell it today you would earn a total of 532.00 from holding Calamos Dividend Growth or generate 42.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Dow Jones Industrial vs. Calamos Dividend Growth
Performance |
Timeline |
Dow Jones and Calamos Dividend Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Calamos Dividend Growth
Pair trading matchups for Calamos Dividend
Pair Trading with Dow Jones and Calamos Dividend
The main advantage of trading using opposite Dow Jones and Calamos Dividend positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Calamos Dividend 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 Calamos Dividend will offset losses from the drop in Calamos Dividend's long position.Dow Jones vs. Cannae Holdings | Dow Jones vs. Fidus Investment Corp | Dow Jones vs. SEI Investments | Dow Jones vs. Cracker Barrel Old |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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