Correlation Between NTT DATA and Mastercard

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

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

Diversification Opportunities for NTT DATA and Mastercard

0.89

Correlation Coefficient

NTT DATA  Mastercard

Very poor diversification

The 3 months correlation between NTT and Mastercard is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding NTT DATA and Mastercard in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mastercard and NTT DATA 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 NTT DATA are associated (or correlated) with Mastercard. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mastercard has no effect on the direction of NTT DATA i.e., NTT DATA and Mastercard go up and down completely randomly.

Pair Corralation between NTT DATA and Mastercard

Assuming the 90 days trading horizon NTT DATA is expected to generate 2.11 times more return on investment than Mastercard. However, NTT DATA is 2.11 times more volatile than Mastercard. It trades about 0.18 of its potential returns per unit of risk. Mastercard is currently generating about 0.12 per unit of risk. If you would invest  1,420  in NTT DATA on October 26, 2024 and sell it today you would earn a total of  400.00  from holding NTT DATA or generate 28.17% return on investment over 90 days.

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

NTT DATA   vs.  Mastercard

NTT DATA

Risk-Adjusted Performance

13 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in NTT DATA are ranked lower than 13 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively fragile basic indicators, NTT DATA unveiled solid returns over the last few months and may actually be approaching a breakup point.

Mastercard

Risk-Adjusted Performance

9 of 100

OK

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

Pair Trading with NTT DATA and Mastercard

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

The idea behind NTT DATA and Mastercard 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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.