Correlation Between First Trust and FT Cboe

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

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

Diversification Opportunities for First Trust and FT Cboe

0.06

Correlation Coefficient

First Trust  FT Cboe

Significant diversification

The 3 months correlation between First and KNG is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding First Trust BuyWrite and FT Cboe Vest in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FT Cboe Vest and First Trust 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 First Trust BuyWrite are associated (or correlated) with FT Cboe. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FT Cboe Vest has no effect on the direction of First Trust i.e., First Trust and FT Cboe go up and down completely randomly.

Pair Corralation between First Trust and FT Cboe

Given the investment horizon of 90 days First Trust BuyWrite is expected to under-perform the FT Cboe. In addition to that, First Trust is 1.18 times more volatile than FT Cboe Vest. It trades about -0.06 of its total potential returns per unit of risk. FT Cboe Vest is currently generating about 0.04 per unit of volatility. If you would invest  4,980  in FT Cboe Vest on December 27, 2024 and sell it today you would earn a total of  74.00  from holding FT Cboe Vest or generate 1.49% return on investment over 90 days.

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

First Trust BuyWrite  vs.  FT Cboe Vest

First Trust BuyWrite

Risk-Adjusted Performance

Very Weak

Over the last 90 days First Trust BuyWrite has generated negative risk-adjusted returns adding no value to investors with long positions. Despite fairly strong technical indicators, First Trust is not utilizing all of its potentials. The current stock price confusion, may contribute to short-horizon losses for the traders.

FT Cboe Vest

Risk-Adjusted Performance

Weak

Compared to the overall equity markets, risk-adjusted returns on investments in FT Cboe Vest are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. Despite nearly stable basic indicators, FT Cboe is not utilizing all of its potentials. The current stock price disturbance, may contribute to mid-run losses for the stockholders.

Pair Trading with First Trust and FT Cboe

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

The idea behind First Trust BuyWrite and FT Cboe Vest 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.