Correlation Between Visa and FT Cboe

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

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

Diversification Opportunities for Visa and FT Cboe

0.36

Correlation Coefficient

Visa  FT Cboe

Weak diversification

The 3 months correlation between Visa and XOCT is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding Visa Class A 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 Visa 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 Visa Class A 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 Visa i.e., Visa and FT Cboe go up and down completely randomly.

Pair Corralation between Visa and FT Cboe

Taking into account the 90-day investment horizon Visa Class A is expected to generate 2.4 times more return on investment than FT Cboe. However, Visa is 2.4 times more volatile than FT Cboe Vest. It trades about 0.12 of its potential returns per unit of risk. FT Cboe Vest is currently generating about -0.02 per unit of risk. If you would invest  32,037  in Visa Class A on December 26, 2024 and sell it today you would earn a total of  2,425  from holding Visa Class A or generate 7.57% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Weak
Accuracy	98.36%
Values	Daily Returns

Visa Class A  vs.  FT Cboe Vest

Visa Class A

Risk-Adjusted Performance

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Visa Class A are ranked lower than 9 (%) of all global equities and portfolios over the last 90 days. In spite of fairly weak basic indicators, Visa may actually be approaching a critical reversion point that can send shares even higher in April 2025.

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 comparatively stable fundamental indicators, FT Cboe is not utilizing all of its potentials. The current stock price uproar, may contribute to short-horizon losses for the private investors.

Pair Trading with Visa and FT Cboe

The main advantage of trading using opposite Visa and FT Cboe positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Visa 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 Visa Class A 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.