Correlation Between FT Cboe and EA Series

Can any of the company-specific risk be diversified away by investing in both FT Cboe and EA Series 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 EA Series 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 EA Series Trust, you can compare the effects of market volatilities on FT Cboe and EA Series 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 EA Series. Check out your portfolio center. Please also check ongoing floating volatility patterns of FT Cboe and EA Series.

Diversification Opportunities for FT Cboe and EA Series

-0.16

Correlation Coefficient

FT Cboe  EA Series

Good diversification

The 3 months correlation between DJUN and MDLV is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding FT Cboe Vest and EA Series Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on EA Series 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 EA Series. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of EA Series Trust has no effect on the direction of FT Cboe i.e., FT Cboe and EA Series go up and down completely randomly.

Pair Corralation between FT Cboe and EA Series

Given the investment horizon of 90 days FT Cboe Vest is expected to under-perform the EA Series. But the etf apears to be less risky and, when comparing its historical volatility, FT Cboe Vest is 1.06 times less risky than EA Series. The etf trades about -0.06 of its potential returns per unit of risk. The EA Series Trust is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest  2,583  in EA Series Trust on December 27, 2024 and sell it today you would earn a total of  141.00  from holding EA Series Trust or generate 5.46% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	100.0%
Values	Daily Returns

FT Cboe Vest  vs.  EA Series 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 very healthy basic indicators, FT Cboe is not utilizing all of its potentials. The current stock price disarray, may contribute to short-term losses for the investors.

EA Series Trust

Risk-Adjusted Performance

OK

Compared to the overall equity markets, risk-adjusted returns on investments in EA Series Trust are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. In spite of fairly stable essential indicators, EA Series is not utilizing all of its potentials. The current stock price fuss, may contribute to near-short-term losses for the sophisticated investors.

Pair Trading with FT Cboe and EA Series

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

The idea behind FT Cboe Vest and EA Series 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 Commodity Directory module to find actively traded commodities issued by global exchanges.