Correlation Between VIIX and FT Cboe

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

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

Diversification Opportunities for VIIX and FT Cboe

-0.81

Correlation Coefficient

VIIX  FT Cboe

Pay attention - limited upside

The 3 months correlation between VIIX and DJUN is -0.81. Overlapping area represents the amount of risk that can be diversified away by holding VIIX 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 VIIX 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 VIIX 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 VIIX i.e., VIIX and FT Cboe go up and down completely randomly.

Pair Corralation between VIIX and FT Cboe

If you would invest  315.00  in VIIX on October 9, 2024 and sell it today you would earn a total of  0.00  from holding VIIX or generate 0.0% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Significant
Accuracy	5.0%
Values	Daily Returns

VIIX  vs.  FT Cboe Vest

VIIX

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days VIIX has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of fairly strong forward indicators, VIIX is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

FT Cboe Vest

Risk-Adjusted Performance

5 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in FT Cboe Vest are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. 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.

Pair Trading with VIIX and FT Cboe

The main advantage of trading using opposite VIIX and FT Cboe positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if VIIX 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 VIIX 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.

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.