Correlation Between Cref Inflation and Columbia High
Can any of the company-specific risk be diversified away by investing in both Cref Inflation and Columbia High 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 Cref Inflation and Columbia High into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cref Inflation Linked Bond and Columbia High Yield, you can compare the effects of market volatilities on Cref Inflation and Columbia High 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 Cref Inflation with a short position of Columbia High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cref Inflation and Columbia High.
Diversification Opportunities for Cref Inflation and Columbia High
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Cref and Columbia is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding Cref Inflation Linked Bond and Columbia High Yield in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Columbia High Yield and Cref Inflation 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 Cref Inflation Linked Bond are associated (or correlated) with Columbia High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Columbia High Yield has no effect on the direction of Cref Inflation i.e., Cref Inflation and Columbia High go up and down completely randomly.
Pair Corralation between Cref Inflation and Columbia High
Assuming the 90 days trading horizon Cref Inflation Linked Bond is expected to under-perform the Columbia High. In addition to that, Cref Inflation is 1.22 times more volatile than Columbia High Yield. It trades about -0.09 of its total potential returns per unit of risk. Columbia High Yield is currently generating about -0.03 per unit of volatility. If you would invest 1,094 in Columbia High Yield on October 9, 2024 and sell it today you would lose (3.00) from holding Columbia High Yield or give up 0.27% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.39% |
Values | Daily Returns |
Cref Inflation Linked Bond vs. Columbia High Yield
Performance |
Timeline |
Cref Inflation Linked |
Columbia High Yield |
Cref Inflation and Columbia High Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cref Inflation and Columbia High
The main advantage of trading using opposite Cref Inflation and Columbia High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cref Inflation position performs unexpectedly, Columbia High 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 High will offset losses from the drop in Columbia High's long position.Cref Inflation vs. Ab Small Cap | Cref Inflation vs. Ultramid Cap Profund Ultramid Cap | Cref Inflation vs. Mutual Of America | Cref Inflation vs. Ultrasmall Cap Profund Ultrasmall Cap |
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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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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