Correlation Between Pnc Emerging and Calamos Global
Can any of the company-specific risk be diversified away by investing in both Pnc Emerging and Calamos 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 Pnc Emerging and Calamos Global into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pnc Emerging Markets and Calamos Global Sustainable, you can compare the effects of market volatilities on Pnc Emerging and Calamos 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 Pnc Emerging with a short position of Calamos Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pnc Emerging and Calamos Global.
Diversification Opportunities for Pnc Emerging and Calamos Global
-0.49 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Pnc and Calamos is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding Pnc Emerging Markets and Calamos Global Sustainable in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Calamos Global Susta and Pnc 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 Pnc Emerging Markets are associated (or correlated) with Calamos Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Calamos Global Susta has no effect on the direction of Pnc Emerging i.e., Pnc Emerging and Calamos Global go up and down completely randomly.
Pair Corralation between Pnc Emerging and Calamos Global
Assuming the 90 days horizon Pnc Emerging Markets is expected to generate 1.38 times more return on investment than Calamos Global. However, Pnc Emerging is 1.38 times more volatile than Calamos Global Sustainable. It trades about 0.04 of its potential returns per unit of risk. Calamos Global Sustainable is currently generating about 0.05 per unit of risk. If you would invest 1,321 in Pnc Emerging Markets on September 19, 2024 and sell it today you would earn a total of 263.00 from holding Pnc Emerging Markets or generate 19.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 20.81% |
Values | Daily Returns |
Pnc Emerging Markets vs. Calamos Global Sustainable
Performance |
Timeline |
Pnc Emerging Markets |
Calamos Global Susta |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Pnc Emerging and Calamos Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pnc Emerging and Calamos Global
The main advantage of trading using opposite Pnc Emerging and Calamos Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pnc Emerging position performs unexpectedly, Calamos 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 Calamos Global will offset losses from the drop in Calamos Global's long position.Pnc Emerging vs. Federated Emerging Market | Pnc Emerging vs. Federated Mdt All | Pnc Emerging vs. Federated Mdt Balanced | Pnc Emerging vs. Federated Global Allocation |
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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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