Correlation Between T Rex and FT Cboe

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

By analyzing existing cross correlation between T Rex 2X Long and FT Cboe Vest, you can compare the effects of market volatilities on T Rex 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 T Rex with a short position of FT Cboe. Check out your portfolio center. Please also check ongoing floating volatility patterns of T Rex and FT Cboe.

Diversification Opportunities for T Rex and FT Cboe

0.13

Correlation Coefficient

T Rex  FT Cboe

Average diversification

The 3 months correlation between NVDX and DAUG is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding T Rex 2X Long 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 T Rex 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 T Rex 2X Long 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 T Rex i.e., T Rex and FT Cboe go up and down completely randomly.

Pair Corralation between T Rex and FT Cboe

Given the investment horizon of 90 days T Rex 2X Long is expected to under-perform the FT Cboe. In addition to that, T Rex is 13.17 times more volatile than FT Cboe Vest. It trades about -0.09 of its total potential returns per unit of risk. FT Cboe Vest is currently generating about -0.07 per unit of volatility. If you would invest  4,012  in FT Cboe Vest on October 7, 2024 and sell it today you would lose (24.00) from holding FT Cboe Vest or give up 0.6% of portfolio value over 90 days.

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

T Rex 2X Long  vs.  FT Cboe Vest

T Rex 2X

Risk-Adjusted Performance

3 of 100

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in T Rex 2X Long are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. In spite of fairly uncertain fundamental indicators, T Rex may actually be approaching a critical reversion point that can send shares even higher in February 2025.

FT Cboe Vest

Risk-Adjusted Performance

9 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in FT Cboe Vest are ranked lower than 9 (%) 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 latest stock price disturbance, may contribute to mid-run losses for the stockholders.

Pair Trading with T Rex and FT Cboe

The main advantage of trading using opposite T Rex and FT Cboe positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if T Rex 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 T Rex 2X Long 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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.