Correlation Between Siit Emerging and Columbia
Can any of the company-specific risk be diversified away by investing in both Siit Emerging and Columbia 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 Siit Emerging and Columbia into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Siit Emerging Markets and Columbia Government Mortgage, you can compare the effects of market volatilities on Siit Emerging and Columbia 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 Siit Emerging with a short position of Columbia. Check out your portfolio center. Please also check ongoing floating volatility patterns of Siit Emerging and Columbia.
Diversification Opportunities for Siit Emerging and Columbia
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Siit and Columbia is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Siit Emerging Markets and Columbia Government Mortgage in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Columbia Government and Siit Emerging 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 Siit Emerging Markets are associated (or correlated) with Columbia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Columbia Government has no effect on the direction of Siit Emerging i.e., Siit Emerging and Columbia go up and down completely randomly.
Pair Corralation between Siit Emerging and Columbia
Assuming the 90 days horizon Siit Emerging Markets is expected to generate 0.65 times more return on investment than Columbia. However, Siit Emerging Markets is 1.54 times less risky than Columbia. It trades about 0.35 of its potential returns per unit of risk. Columbia Government Mortgage is currently generating about 0.18 per unit of risk. If you would invest 869.00 in Siit Emerging Markets on June 6, 2025 and sell it today you would earn a total of 47.00 from holding Siit Emerging Markets or generate 5.41% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 98.39% |
| Values | Daily Returns |
Siit Emerging Markets vs. Columbia Government Mortgage
Performance |
| Timeline |
| Siit Emerging Markets |
| Columbia Government |
Siit Emerging and Columbia Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Siit Emerging and Columbia
The main advantage of trading using opposite Siit Emerging and Columbia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Siit Emerging position performs unexpectedly, Columbia 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 will offset losses from the drop in Columbia's long position.| Siit Emerging vs. Allianzgi Convertible Income | Siit Emerging vs. Fidelity Sai Convertible | Siit Emerging vs. Rationalpier 88 Convertible | Siit Emerging vs. Lord Abbett Convertible |
| Columbia vs. Westwood Short Duration | Columbia vs. American Funds Tax Exempt | Columbia vs. Nuveen Short Term | Columbia vs. Calvert Short Duration |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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