Correlation Between Inverse Government and Columbia Seligman
Can any of the company-specific risk be diversified away by investing in both Inverse Government 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 Inverse Government and Columbia Seligman into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Inverse Government Long and Columbia Seligman Global, you can compare the effects of market volatilities on Inverse Government 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 Inverse Government with a short position of Columbia Seligman. Check out your portfolio center. Please also check ongoing floating volatility patterns of Inverse Government and Columbia Seligman.
Diversification Opportunities for Inverse Government and Columbia Seligman
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Inverse and Columbia is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Inverse Government Long 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 Inverse Government 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 Inverse Government Long 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 Inverse Government i.e., Inverse Government and Columbia Seligman go up and down completely randomly.
Pair Corralation between Inverse Government and Columbia Seligman
Assuming the 90 days horizon Inverse Government Long is expected to generate 0.25 times more return on investment than Columbia Seligman. However, Inverse Government Long is 4.02 times less risky than Columbia Seligman. It trades about -0.14 of its potential returns per unit of risk. Columbia Seligman Global is currently generating about -0.1 per unit of risk. If you would invest 19,414 in Inverse Government Long on September 13, 2024 and sell it today you would lose (457.00) from holding Inverse Government Long or give up 2.35% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Inverse Government Long vs. Columbia Seligman Global
Performance |
Timeline |
Inverse Government Long |
Columbia Seligman Global |
Inverse Government and Columbia Seligman Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Inverse Government and Columbia Seligman
The main advantage of trading using opposite Inverse Government and Columbia Seligman positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Inverse Government 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.Inverse Government vs. Basic Materials Fund | Inverse Government vs. Basic Materials Fund | Inverse Government vs. Banking Fund Class | Inverse Government vs. Basic Materials Fund |
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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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