Correlation Between Calamos Opportunistic and Calamos Dividend

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both Calamos Opportunistic and Calamos Dividend 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 Opportunistic and Calamos Dividend into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Calamos Opportunistic Value and Calamos Dividend Growth, you can compare the effects of market volatilities on Calamos Opportunistic and Calamos Dividend 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 Opportunistic with a short position of Calamos Dividend. Check out your portfolio center. Please also check ongoing floating volatility patterns of Calamos Opportunistic and Calamos Dividend.

Diversification Opportunities for Calamos Opportunistic and Calamos Dividend

1.0
  Correlation Coefficient

No risk reduction

The 3 months correlation between Calamos and Calamos is 1.0. Overlapping area represents the amount of risk that can be diversified away by holding Calamos Opportunistic Value and Calamos Dividend Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Calamos Dividend Growth and Calamos Opportunistic 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 Opportunistic Value are associated (or correlated) with Calamos Dividend. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Calamos Dividend Growth has no effect on the direction of Calamos Opportunistic i.e., Calamos Opportunistic and Calamos Dividend go up and down completely randomly.

Pair Corralation between Calamos Opportunistic and Calamos Dividend

Assuming the 90 days horizon Calamos Opportunistic is expected to generate 1.02 times less return on investment than Calamos Dividend. In addition to that, Calamos Opportunistic is 1.05 times more volatile than Calamos Dividend Growth. It trades about 0.12 of its total potential returns per unit of risk. Calamos Dividend Growth is currently generating about 0.13 per unit of volatility. If you would invest  1,577  in Calamos Dividend Growth on August 25, 2024 and sell it today you would earn a total of  396.00  from holding Calamos Dividend Growth or generate 25.11% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Strong
Accuracy100.0%
ValuesDaily Returns

Calamos Opportunistic Value  vs.  Calamos Dividend Growth

 Performance 
       Timeline  
Calamos Opportunistic 

Risk-Adjusted Performance

9 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Calamos Opportunistic Value are ranked lower than 9 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly strong fundamental indicators, Calamos Opportunistic is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.
Calamos Dividend Growth 

Risk-Adjusted Performance

10 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in Calamos Dividend Growth are ranked lower than 10 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly strong basic indicators, Calamos Dividend is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Calamos Opportunistic and Calamos Dividend Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Calamos Opportunistic and Calamos Dividend

The main advantage of trading using opposite Calamos Opportunistic and Calamos Dividend positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Calamos Opportunistic position performs unexpectedly, Calamos Dividend 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 Dividend will offset losses from the drop in Calamos Dividend's long position.
The idea behind Calamos Opportunistic Value and Calamos Dividend Growth pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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.

Other Complementary Tools

Portfolio Comparator
Compare the composition, asset allocations and performance of any two portfolios in your account
Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk
Piotroski F Score
Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals
Equity Search
Search for actively traded equities including funds and ETFs from over 30 global markets
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm