Correlation Between Ubs Us and Calamos Dynamic
Can any of the company-specific risk be diversified away by investing in both Ubs Us and Calamos Dynamic 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 Ubs Us and Calamos Dynamic into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ubs Small Cap and Calamos Dynamic Convertible, you can compare the effects of market volatilities on Ubs Us and Calamos Dynamic 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 Ubs Us with a short position of Calamos Dynamic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ubs Us and Calamos Dynamic.
Diversification Opportunities for Ubs Us and Calamos Dynamic
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Ubs and Calamos is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Ubs Small Cap and Calamos Dynamic Convertible in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Calamos Dynamic Conv and Ubs Us 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 Ubs Small Cap are associated (or correlated) with Calamos Dynamic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Calamos Dynamic Conv has no effect on the direction of Ubs Us i.e., Ubs Us and Calamos Dynamic go up and down completely randomly.
Pair Corralation between Ubs Us and Calamos Dynamic
Assuming the 90 days horizon Ubs Small Cap is expected to under-perform the Calamos Dynamic. In addition to that, Ubs Us is 1.37 times more volatile than Calamos Dynamic Convertible. It trades about -0.15 of its total potential returns per unit of risk. Calamos Dynamic Convertible is currently generating about -0.14 per unit of volatility. If you would invest 2,405 in Calamos Dynamic Convertible on December 27, 2024 and sell it today you would lose (226.00) from holding Calamos Dynamic Convertible or give up 9.4% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Ubs Small Cap vs. Calamos Dynamic Convertible
Performance |
Timeline |
Ubs Small Cap |
Calamos Dynamic Conv |
Ubs Us and Calamos Dynamic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ubs Us and Calamos Dynamic
The main advantage of trading using opposite Ubs Us and Calamos Dynamic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ubs Us position performs unexpectedly, Calamos Dynamic 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 Dynamic will offset losses from the drop in Calamos Dynamic's long position.Ubs Us vs. Calvert Bond Portfolio | Ubs Us vs. Ambrus Core Bond | Ubs Us vs. Morningstar Defensive Bond | Ubs Us vs. Artisan High Income |
Calamos Dynamic vs. Calamos Convertible Opportunities | Calamos Dynamic vs. Calamos Global Dynamic | Calamos Dynamic vs. Calamos Strategic Total | Calamos Dynamic vs. Calamos LongShort Equity |
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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