Correlation Between Columbia Convertible and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Columbia Convertible 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 Convertible 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 Convertible Securities and Dow Jones Industrial, you can compare the effects of market volatilities on Columbia Convertible 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 Convertible with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Columbia Convertible and Dow Jones.
Diversification Opportunities for Columbia Convertible and Dow Jones
0.24 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Columbia and Dow is 0.24. Overlapping area represents the amount of risk that can be diversified away by holding Columbia Convertible Securitie 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 Convertible 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 Convertible Securities 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 Convertible i.e., Columbia Convertible and Dow Jones go up and down completely randomly.
Pair Corralation between Columbia Convertible and Dow Jones
Assuming the 90 days horizon Columbia Convertible Securities is expected to generate 1.01 times more return on investment than Dow Jones. However, Columbia Convertible is 1.01 times more volatile than Dow Jones Industrial. It trades about -0.08 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about -0.24 per unit of risk. If you would invest 2,255 in Columbia Convertible Securities on October 10, 2024 and sell it today you would lose (28.00) from holding Columbia Convertible Securities or give up 1.24% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 95.45% |
Values | Daily Returns |
Columbia Convertible Securitie vs. Dow Jones Industrial
Performance |
Timeline |
Columbia Convertible and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Columbia Convertible Securities
Pair trading matchups for Columbia Convertible
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Columbia Convertible and Dow Jones
The main advantage of trading using opposite Columbia Convertible and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Columbia Convertible 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 Convertible vs. Ab Global Bond | Columbia Convertible vs. Barings Global Floating | Columbia Convertible vs. Commonwealth Global Fund | Columbia Convertible vs. Artisan Global Opportunities |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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