Correlation Between Western Asset and Columbia Seligman
Can any of the company-specific risk be diversified away by investing in both Western Asset and Columbia Seligman 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 Western Asset and Columbia Seligman into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Western Asset Municipal and Columbia Seligman Global, you can compare the effects of market volatilities on Western Asset and Columbia Seligman 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 Western Asset with a short position of Columbia Seligman. Check out your portfolio center. Please also check ongoing floating volatility patterns of Western Asset and Columbia Seligman.
Diversification Opportunities for Western Asset and Columbia Seligman
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Western and Columbia is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding Western Asset Municipal and Columbia Seligman Global in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Columbia Seligman Global and Western Asset 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 Western Asset Municipal are associated (or correlated) with Columbia Seligman. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Columbia Seligman Global has no effect on the direction of Western Asset i.e., Western Asset and Columbia Seligman go up and down completely randomly.
Pair Corralation between Western Asset and Columbia Seligman
Assuming the 90 days horizon Western Asset Municipal is expected to generate 0.17 times more return on investment than Columbia Seligman. However, Western Asset Municipal is 5.91 times less risky than Columbia Seligman. It trades about -0.11 of its potential returns per unit of risk. Columbia Seligman Global is currently generating about -0.12 per unit of risk. If you would invest 716.00 in Western Asset Municipal on December 30, 2024 and sell it today you would lose (14.00) from holding Western Asset Municipal or give up 1.96% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Western Asset Municipal vs. Columbia Seligman Global
Performance |
Timeline |
Western Asset Municipal |
Columbia Seligman Global |
Western Asset and Columbia Seligman Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Western Asset and Columbia Seligman
The main advantage of trading using opposite Western Asset and Columbia Seligman positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Western Asset position performs unexpectedly, Columbia Seligman 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 Columbia Seligman will offset losses from the drop in Columbia Seligman's long position.Western Asset vs. Vanguard Inflation Protected Securities | Western Asset vs. T Rowe Price | Western Asset vs. Rbb Fund | Western Asset vs. Ab Global Risk |
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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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