Correlation Between Guggenheim High and Calamos Market
Can any of the company-specific risk be diversified away by investing in both Guggenheim High and Calamos Market 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 Guggenheim High and Calamos Market into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Guggenheim High Yield and Calamos Market Neutral, you can compare the effects of market volatilities on Guggenheim High and Calamos Market 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 Guggenheim High with a short position of Calamos Market. Check out your portfolio center. Please also check ongoing floating volatility patterns of Guggenheim High and Calamos Market.
Diversification Opportunities for Guggenheim High and Calamos Market
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Guggenheim and Calamos is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding Guggenheim High Yield and Calamos Market Neutral in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Calamos Market Neutral and Guggenheim High 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 Guggenheim High Yield are associated (or correlated) with Calamos Market. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Calamos Market Neutral has no effect on the direction of Guggenheim High i.e., Guggenheim High and Calamos Market go up and down completely randomly.
Pair Corralation between Guggenheim High and Calamos Market
Assuming the 90 days horizon Guggenheim High is expected to generate 2.43 times less return on investment than Calamos Market. In addition to that, Guggenheim High is 1.82 times more volatile than Calamos Market Neutral. It trades about 0.06 of its total potential returns per unit of risk. Calamos Market Neutral is currently generating about 0.27 per unit of volatility. If you would invest 1,490 in Calamos Market Neutral on December 2, 2024 and sell it today you would earn a total of 22.00 from holding Calamos Market Neutral or generate 1.48% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Guggenheim High Yield vs. Calamos Market Neutral
Performance |
Timeline |
Guggenheim High Yield |
Calamos Market Neutral |
Guggenheim High and Calamos Market Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Guggenheim High and Calamos Market
The main advantage of trading using opposite Guggenheim High and Calamos Market positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Guggenheim High position performs unexpectedly, Calamos Market 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 Market will offset losses from the drop in Calamos Market's long position.Guggenheim High vs. L Abbett Growth | Guggenheim High vs. T Rowe Price | Guggenheim High vs. Touchstone Sands Capital | Guggenheim High vs. Oklahoma College Savings |
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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 Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.
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