Correlation Between Visa and Verso

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

Diversification Opportunities for Visa and Verso

0.0

Correlation Coefficient

Visa  Verso

Pay attention - limited upside

The 3 months correlation between Visa and Verso is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Visa Class A and Verso in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Verso 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 Verso. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Verso has no effect on the direction of Visa i.e., Visa and Verso go up and down completely randomly.

Pair Corralation between Visa and Verso

If you would invest  24,113  in Visa Class A on October 1, 2024 and sell it today you would earn a total of  7,753  from holding Visa Class A or generate 32.15% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Flat
Strength	Insignificant
Accuracy	0.0%
Values	Daily Returns

Visa Class A  vs.  Verso

Visa Class A

Risk-Adjusted Performance

16 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Visa Class A are ranked lower than 16 (%) of all global equities and portfolios over the last 90 days. In spite of fairly weak basic indicators, Visa showed solid returns over the last few months and may actually be approaching a breakup point.

Verso

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Verso has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable basic indicators, Verso is not utilizing all of its potentials. The recent stock price uproar, may contribute to short-horizon losses for the private investors.

Pair Trading with Visa and Verso

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

The idea behind Visa Class A and Verso 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 Equity Valuation module to check real value of public entities based on technical and fundamental data.