Correlation Between Visa and Mercuries Data

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

Diversification Opportunities for Visa and Mercuries Data

0.47

Correlation Coefficient

Visa  Mercuries Data

Very weak diversification

The 3 months correlation between Visa and Mercuries is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding Visa Class A and Mercuries Data Systems in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mercuries Data Systems 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 Mercuries Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mercuries Data Systems has no effect on the direction of Visa i.e., Visa and Mercuries Data go up and down completely randomly.

Pair Corralation between Visa and Mercuries Data

Taking into account the 90-day investment horizon Visa Class A is expected to generate 0.5 times more return on investment than Mercuries Data. However, Visa Class A is 2.0 times less risky than Mercuries Data. It trades about 0.17 of its potential returns per unit of risk. Mercuries Data Systems is currently generating about 0.07 per unit of risk. If you would invest  31,478  in Visa Class A on December 28, 2024 and sell it today you would earn a total of  3,508  from holding Visa Class A or generate 11.14% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Weak
Accuracy	91.67%
Values	Daily Returns

Visa Class A  vs.  Mercuries Data Systems

Visa Class A

Risk-Adjusted Performance

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Visa Class A are ranked lower than 13 (%) 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.

Mercuries Data Systems

Risk-Adjusted Performance

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in Mercuries Data Systems are ranked lower than 5 (%) of all global equities and portfolios over the last 90 days. In spite of fairly abnormal basic indicators, Mercuries Data may actually be approaching a critical reversion point that can send shares even higher in April 2025.

Pair Trading with Visa and Mercuries Data

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

The idea behind Visa Class A and Mercuries Data Systems 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.