Correlation Between Columbia Minnesota and Sit Minnesota
Can any of the company-specific risk be diversified away by investing in both Columbia Minnesota and Sit Minnesota 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 Minnesota and Sit Minnesota into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Columbia Minnesota Tax Exempt and Sit Minnesota Tax Free, you can compare the effects of market volatilities on Columbia Minnesota and Sit Minnesota 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 Minnesota with a short position of Sit Minnesota. Check out your portfolio center. Please also check ongoing floating volatility patterns of Columbia Minnesota and Sit Minnesota.
Diversification Opportunities for Columbia Minnesota and Sit Minnesota
0.97 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Columbia and Sit is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding Columbia Minnesota Tax Exempt and Sit Minnesota Tax Free in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sit Minnesota Tax and Columbia Minnesota 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 Minnesota Tax Exempt are associated (or correlated) with Sit Minnesota. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sit Minnesota Tax has no effect on the direction of Columbia Minnesota i.e., Columbia Minnesota and Sit Minnesota go up and down completely randomly.
Pair Corralation between Columbia Minnesota and Sit Minnesota
Assuming the 90 days horizon Columbia Minnesota is expected to generate 1.32 times less return on investment than Sit Minnesota. In addition to that, Columbia Minnesota is 1.24 times more volatile than Sit Minnesota Tax Free. It trades about 0.03 of its total potential returns per unit of risk. Sit Minnesota Tax Free is currently generating about 0.05 per unit of volatility. If you would invest 897.00 in Sit Minnesota Tax Free on October 9, 2024 and sell it today you would earn a total of 56.00 from holding Sit Minnesota Tax Free or generate 6.24% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Columbia Minnesota Tax Exempt vs. Sit Minnesota Tax Free
Performance |
| Timeline |
| Columbia Minnesota Tax |
| Sit Minnesota Tax |
Columbia Minnesota and Sit Minnesota Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Columbia Minnesota and Sit Minnesota
The main advantage of trading using opposite Columbia Minnesota and Sit Minnesota positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Columbia Minnesota position performs unexpectedly, Sit Minnesota 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 Sit Minnesota will offset losses from the drop in Sit Minnesota's long position.| Columbia Minnesota vs. Transamerica High Yield | Columbia Minnesota vs. Voya High Yield | Columbia Minnesota vs. Tiaa Cref High Yield Fund | Columbia Minnesota vs. Msift High Yield |
| Sit Minnesota vs. Sit Small Cap | Sit Minnesota vs. Sit Global Dividend | Sit Minnesota vs. Sit Global Dividend | Sit Minnesota vs. Sit Small Cap |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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