Correlation Between Qs Global and Calamos International
Can any of the company-specific risk be diversified away by investing in both Qs Global and Calamos International 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 Qs Global and Calamos International into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Qs Global Equity and Calamos International Growth, you can compare the effects of market volatilities on Qs Global and Calamos International 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 Qs Global with a short position of Calamos International. Check out your portfolio center. Please also check ongoing floating volatility patterns of Qs Global and Calamos International.
Diversification Opportunities for Qs Global and Calamos International
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between SMYIX and Calamos is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Qs Global Equity and Calamos International Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Calamos International and Qs Global 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 Qs Global Equity are associated (or correlated) with Calamos International. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Calamos International has no effect on the direction of Qs Global i.e., Qs Global and Calamos International go up and down completely randomly.
Pair Corralation between Qs Global and Calamos International
Assuming the 90 days horizon Qs Global Equity is expected to generate 0.78 times more return on investment than Calamos International. However, Qs Global Equity is 1.28 times less risky than Calamos International. It trades about 0.09 of its potential returns per unit of risk. Calamos International Growth is currently generating about 0.02 per unit of risk. If you would invest 2,100 in Qs Global Equity on November 3, 2024 and sell it today you would earn a total of 414.00 from holding Qs Global Equity or generate 19.71% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 99.6% |
| Values | Daily Returns |
Qs Global Equity vs. Calamos International Growth
Performance |
| Timeline |
| Qs Global Equity |
| Calamos International |
Qs Global and Calamos International Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Qs Global and Calamos International
The main advantage of trading using opposite Qs Global and Calamos International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Qs Global position performs unexpectedly, Calamos International 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 Calamos International will offset losses from the drop in Calamos International's long position.| Qs Global vs. Eaton Vance Tax Managed | Qs Global vs. Artisan Global Opportunities | Qs Global vs. Sit International Growth | Qs Global vs. Global Stock Fund |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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