Correlation Between Intel and Calamos Convertible
Can any of the company-specific risk be diversified away by investing in both Intel and Calamos Convertible 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 Intel and Calamos Convertible into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Intel and Calamos Convertible And, you can compare the effects of market volatilities on Intel and Calamos Convertible 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 Intel with a short position of Calamos Convertible. Check out your portfolio center. Please also check ongoing floating volatility patterns of Intel and Calamos Convertible.
Diversification Opportunities for Intel and Calamos Convertible
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Intel and Calamos is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Intel and Calamos Convertible And in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Calamos Convertible And and Intel 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 Intel are associated (or correlated) with Calamos Convertible. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Calamos Convertible And has no effect on the direction of Intel i.e., Intel and Calamos Convertible go up and down completely randomly.
Pair Corralation between Intel and Calamos Convertible
Given the investment horizon of 90 days Intel is expected to generate 3.74 times more return on investment than Calamos Convertible. However, Intel is 3.74 times more volatile than Calamos Convertible And. It trades about 0.14 of its potential returns per unit of risk. Calamos Convertible And is currently generating about 0.19 per unit of risk. If you would invest 1,961 in Intel on August 28, 2024 and sell it today you would earn a total of 526.00 from holding Intel or generate 26.82% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Intel vs. Calamos Convertible And
Performance |
| Timeline |
| Intel |
| Calamos Convertible And |
Intel and Calamos Convertible Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Intel and Calamos Convertible
The main advantage of trading using opposite Intel and Calamos Convertible positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Intel position performs unexpectedly, Calamos Convertible 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 Convertible will offset losses from the drop in Calamos Convertible's long position.| Intel vs. NVIDIA | Intel vs. Taiwan Semiconductor Manufacturing | Intel vs. Marvell Technology Group | Intel vs. Micron Technology |
| Calamos Convertible vs. Calamos Global Dynamic | Calamos Convertible vs. Calamos Strategic Total | Calamos Convertible vs. Calamos LongShort Equity | Calamos Convertible vs. DTF Tax Free |
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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