Correlation Between Calamos Short and Pgim High
Can any of the company-specific risk be diversified away by investing in both Calamos Short and Pgim High 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 Short and Pgim High into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Calamos Short Term Bond and Pgim High Yield, you can compare the effects of market volatilities on Calamos Short and Pgim High 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 Short with a short position of Pgim High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Calamos Short and Pgim High.
Diversification Opportunities for Calamos Short and Pgim High
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Calamos and Pgim is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Calamos Short Term Bond and Pgim High Yield in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pgim High Yield and Calamos Short 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 Short Term Bond are associated (or correlated) with Pgim High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pgim High Yield has no effect on the direction of Calamos Short i.e., Calamos Short and Pgim High go up and down completely randomly.
Pair Corralation between Calamos Short and Pgim High
Assuming the 90 days horizon Calamos Short Term Bond is expected to generate 0.62 times more return on investment than Pgim High. However, Calamos Short Term Bond is 1.6 times less risky than Pgim High. It trades about 0.19 of its potential returns per unit of risk. Pgim High Yield is currently generating about 0.11 per unit of risk. If you would invest 940.00 in Calamos Short Term Bond on December 28, 2024 and sell it today you would earn a total of 15.00 from holding Calamos Short Term Bond or generate 1.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Calamos Short Term Bond vs. Pgim High Yield
Performance |
Timeline |
Calamos Short Term |
Pgim High Yield |
Calamos Short and Pgim High Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Calamos Short and Pgim High
The main advantage of trading using opposite Calamos Short and Pgim High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Calamos Short position performs unexpectedly, Pgim High 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 Pgim High will offset losses from the drop in Pgim High's long position.Calamos Short vs. Fidelity Flex Servative | Calamos Short vs. Blackrock Short Term Inflat Protected | Calamos Short vs. Touchstone Ultra Short | Calamos Short vs. Blackrock Global Longshort |
Pgim High vs. Delaware Investments Ultrashort | Pgim High vs. Alpine Ultra Short | Pgim High vs. Old Westbury Short Term | Pgim High vs. Siit 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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