Correlation Between NTT DATA and SERESCO 16

Can any of the company-specific risk be diversified away by investing in both NTT DATA and SERESCO 16 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 SERESCO 16 into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between NTT DATA and SERESCO 16, you can compare the effects of market volatilities on NTT DATA and SERESCO 16 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 SERESCO 16. Check out your portfolio center. Please also check ongoing floating volatility patterns of NTT DATA and SERESCO 16.

Diversification Opportunities for NTT DATA and SERESCO 16

0.53

Correlation Coefficient

NTT DATA  SERESCO 16

Very weak diversification

The 3 months correlation between NTT and SERESCO is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding NTT DATA and SERESCO 16 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SERESCO 16 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 SERESCO 16. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SERESCO 16 has no effect on the direction of NTT DATA i.e., NTT DATA and SERESCO 16 go up and down completely randomly.

Pair Corralation between NTT DATA and SERESCO 16

Assuming the 90 days trading horizon NTT DATA is expected to generate 1.15 times less return on investment than SERESCO 16. But when comparing it to its historical volatility, NTT DATA is 1.01 times less risky than SERESCO 16. It trades about 0.17 of its potential returns per unit of risk. SERESCO 16 is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest  490.00  in SERESCO 16 on April 20, 2025 and sell it today you would earn a total of  240.00  from holding SERESCO 16 or generate 48.98% return on investment over 90 days.

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

NTT DATA   vs.  SERESCO 16

NTT DATA

Risk-Adjusted Performance

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 uncertain basic indicators, NTT DATA unveiled solid returns over the last few months and may actually be approaching a breakup point.

SERESCO 16

Risk-Adjusted Performance

Good

Compared to the overall equity markets, risk-adjusted returns on investments in SERESCO 16 are ranked lower than 15 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile basic indicators, SERESCO 16 reported solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with NTT DATA and SERESCO 16

The main advantage of trading using opposite NTT DATA and SERESCO 16 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NTT DATA position performs unexpectedly, SERESCO 16 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 SERESCO 16 will offset losses from the drop in SERESCO 16's long position.

The idea behind NTT DATA and SERESCO 16 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.