Correlation Between Columbia Seligman and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Columbia Seligman 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 Columbia Seligman and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Columbia Seligman Global and Dow Jones Industrial, you can compare the effects of market volatilities on Columbia Seligman 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 Columbia Seligman with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Columbia Seligman and Dow Jones.
Diversification Opportunities for Columbia Seligman and Dow Jones
0.96 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Columbia and Dow is 0.96. Overlapping area represents the amount of risk that can be diversified away by holding Columbia Seligman Global 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 Columbia Seligman 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 Columbia Seligman Global 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 Columbia Seligman i.e., Columbia Seligman and Dow Jones go up and down completely randomly.
Pair Corralation between Columbia Seligman and Dow Jones
Assuming the 90 days horizon Columbia Seligman Global is expected to generate 0.97 times more return on investment than Dow Jones. However, Columbia Seligman Global is 1.03 times less risky than Dow Jones. It trades about 0.41 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.37 per unit of risk. If you would invest 7,997 in Columbia Seligman Global on September 1, 2024 and sell it today you would earn a total of 687.00 from holding Columbia Seligman Global or generate 8.59% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 95.45% |
| Values | Daily Returns |
Columbia Seligman Global vs. Dow Jones Industrial
Performance |
| Timeline |
Columbia Seligman and Dow Jones Volatility Contrast
Predicted Return Density |
| Returns |
Columbia Seligman Global
Pair trading matchups for Columbia Seligman
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Columbia Seligman and Dow Jones
The main advantage of trading using opposite Columbia Seligman and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Columbia Seligman 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.| Columbia Seligman vs. Columbia Seligman Global | Columbia Seligman vs. Columbia Seligman Global | Columbia Seligman vs. Columbia Seligman Global | Columbia Seligman vs. Columbia Seligman Munications |
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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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