Correlation Between Calamos Global and Dreyfusstandish Global
Can any of the company-specific risk be diversified away by investing in both Calamos Global and Dreyfusstandish Global 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 Calamos Global and Dreyfusstandish Global into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Calamos Global Equity and Dreyfusstandish Global Fixed, you can compare the effects of market volatilities on Calamos Global and Dreyfusstandish Global 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 Calamos Global with a short position of Dreyfusstandish Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of Calamos Global and Dreyfusstandish Global.
Diversification Opportunities for Calamos Global and Dreyfusstandish Global
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Calamos and Dreyfusstandish is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding Calamos Global Equity and Dreyfusstandish Global Fixed in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dreyfusstandish Global and Calamos 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 Calamos Global Equity are associated (or correlated) with Dreyfusstandish Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dreyfusstandish Global has no effect on the direction of Calamos Global i.e., Calamos Global and Dreyfusstandish Global go up and down completely randomly.
Pair Corralation between Calamos Global and Dreyfusstandish Global
Assuming the 90 days horizon Calamos Global Equity is expected to under-perform the Dreyfusstandish Global. In addition to that, Calamos Global is 3.95 times more volatile than Dreyfusstandish Global Fixed. It trades about -0.04 of its total potential returns per unit of risk. Dreyfusstandish Global Fixed is currently generating about -0.01 per unit of volatility. If you would invest 1,988 in Dreyfusstandish Global Fixed on October 23, 2024 and sell it today you would lose (1.00) from holding Dreyfusstandish Global Fixed or give up 0.05% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Calamos Global Equity vs. Dreyfusstandish Global Fixed
Performance |
Timeline |
Calamos Global Equity |
Dreyfusstandish Global |
Calamos Global and Dreyfusstandish Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Calamos Global and Dreyfusstandish Global
The main advantage of trading using opposite Calamos Global and Dreyfusstandish Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Calamos Global position performs unexpectedly, Dreyfusstandish Global 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 Dreyfusstandish Global will offset losses from the drop in Dreyfusstandish Global's long position.Calamos Global vs. Jhancock Short Duration | Calamos Global vs. Fidelity Flex Servative | Calamos Global vs. Siit Ultra Short | Calamos Global vs. Cmg Ultra Short |
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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