Correlation Between Calamos Market and Cboe Vest
Can any of the company-specific risk be diversified away by investing in both Calamos Market and Cboe Vest 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 Market and Cboe Vest into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Calamos Market Neutral and Cboe Vest Sp, you can compare the effects of market volatilities on Calamos Market and Cboe Vest 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 Market with a short position of Cboe Vest. Check out your portfolio center. Please also check ongoing floating volatility patterns of Calamos Market and Cboe Vest.
Diversification Opportunities for Calamos Market and Cboe Vest
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Calamos and Cboe is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Calamos Market Neutral and Cboe Vest Sp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cboe Vest Sp and Calamos Market 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 Market Neutral are associated (or correlated) with Cboe Vest. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cboe Vest Sp has no effect on the direction of Calamos Market i.e., Calamos Market and Cboe Vest go up and down completely randomly.
Pair Corralation between Calamos Market and Cboe Vest
Assuming the 90 days horizon Calamos Market Neutral is expected to under-perform the Cboe Vest. But the mutual fund apears to be less risky and, when comparing its historical volatility, Calamos Market Neutral is 2.33 times less risky than Cboe Vest. The mutual fund trades about -0.15 of its potential returns per unit of risk. The Cboe Vest Sp is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 783.00 in Cboe Vest Sp on September 27, 2024 and sell it today you would earn a total of 2.00 from holding Cboe Vest Sp or generate 0.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Calamos Market Neutral vs. Cboe Vest Sp
Performance |
Timeline |
Calamos Market Neutral |
Cboe Vest Sp |
Calamos Market and Cboe Vest Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Calamos Market and Cboe Vest
The main advantage of trading using opposite Calamos Market and Cboe Vest positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Calamos Market position performs unexpectedly, Cboe Vest 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 Cboe Vest will offset losses from the drop in Cboe Vest's long position.Calamos Market vs. The Arbitrage Fund | Calamos Market vs. The Merger Fund | Calamos Market vs. Gateway Fund Class | Calamos Market vs. Diamond Hill Long Short |
Cboe Vest vs. Cboe Vest Sp | Cboe Vest vs. Empiric 2500 Fund | Cboe Vest vs. Enterprise Mergers And | Cboe Vest vs. Eaton Vance Floating Rate |
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 Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
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