Correlation Between FT Cboe and Calamos ETF

Can any of the company-specific risk be diversified away by investing in both FT Cboe and Calamos ETF 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 FT Cboe and Calamos ETF into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between FT Cboe Vest and Calamos ETF Trust, you can compare the effects of market volatilities on FT Cboe and Calamos ETF 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 FT Cboe with a short position of Calamos ETF. Check out your portfolio center. Please also check ongoing floating volatility patterns of FT Cboe and Calamos ETF.

Diversification Opportunities for FT Cboe and Calamos ETF

0.95

Correlation Coefficient

FT Cboe  Calamos ETF

Almost no diversification

The 3 months correlation between BUFD and Calamos is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding FT Cboe Vest and Calamos ETF Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Calamos ETF Trust and FT Cboe 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 FT Cboe Vest are associated (or correlated) with Calamos ETF. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Calamos ETF Trust has no effect on the direction of FT Cboe i.e., FT Cboe and Calamos ETF go up and down completely randomly.

Pair Corralation between FT Cboe and Calamos ETF

Given the investment horizon of 90 days FT Cboe Vest is expected to under-perform the Calamos ETF. In addition to that, FT Cboe is 1.58 times more volatile than Calamos ETF Trust. It trades about -0.07 of its total potential returns per unit of risk. Calamos ETF Trust is currently generating about -0.08 per unit of volatility. If you would invest  2,548  in Calamos ETF Trust on December 28, 2024 and sell it today you would lose (44.00) from holding Calamos ETF Trust or give up 1.73% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Strong
Accuracy	100.0%
Values	Daily Returns

FT Cboe Vest  vs.  Calamos ETF Trust

FT Cboe Vest

Risk-Adjusted Performance

Very Weak

Over the last 90 days FT Cboe Vest has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound technical and fundamental indicators, FT Cboe is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.

Calamos ETF Trust

Risk-Adjusted Performance

Very Weak

Over the last 90 days Calamos ETF Trust has generated negative risk-adjusted returns adding no value to investors with long positions. Even with relatively steady basic indicators, Calamos ETF is not utilizing all of its potentials. The latest stock price chaos, may contribute to medium-term losses for the stakeholders.

Pair Trading with FT Cboe and Calamos ETF

The main advantage of trading using opposite FT Cboe and Calamos ETF positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FT Cboe position performs unexpectedly, Calamos ETF 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 ETF will offset losses from the drop in Calamos ETF's long position.

The idea behind FT Cboe Vest and Calamos ETF Trust 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.

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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 Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.