Correlation Between NTT DATA and SOFI TECHNOLOGIES
Can any of the company-specific risk be diversified away by investing in both NTT DATA and SOFI TECHNOLOGIES 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 SOFI TECHNOLOGIES into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NTT DATA and SOFI TECHNOLOGIES, you can compare the effects of market volatilities on NTT DATA and SOFI TECHNOLOGIES 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 SOFI TECHNOLOGIES. Check out your portfolio center. Please also check ongoing floating volatility patterns of NTT DATA and SOFI TECHNOLOGIES.
Diversification Opportunities for NTT DATA and SOFI TECHNOLOGIES
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between NTT and SOFI is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding NTT DATA and SOFI TECHNOLOGIES in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SOFI TECHNOLOGIES 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 SOFI TECHNOLOGIES. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SOFI TECHNOLOGIES has no effect on the direction of NTT DATA i.e., NTT DATA and SOFI TECHNOLOGIES go up and down completely randomly.
Pair Corralation between NTT DATA and SOFI TECHNOLOGIES
Assuming the 90 days trading horizon NTT DATA is expected to under-perform the SOFI TECHNOLOGIES. But the stock apears to be less risky and, when comparing its historical volatility, NTT DATA is 4.95 times less risky than SOFI TECHNOLOGIES. The stock trades about -0.28 of its potential returns per unit of risk. The SOFI TECHNOLOGIES is currently generating about 0.58 of returns per unit of risk over similar time horizon. If you would invest 1,313 in SOFI TECHNOLOGIES on April 22, 2025 and sell it today you would earn a total of 545.00 from holding SOFI TECHNOLOGIES or generate 41.51% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
NTT DATA vs. SOFI TECHNOLOGIES
Performance |
Timeline |
NTT DATA |
SOFI TECHNOLOGIES |
NTT DATA and SOFI TECHNOLOGIES Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with NTT DATA and SOFI TECHNOLOGIES
The main advantage of trading using opposite NTT DATA and SOFI TECHNOLOGIES positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NTT DATA position performs unexpectedly, SOFI TECHNOLOGIES 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 SOFI TECHNOLOGIES will offset losses from the drop in SOFI TECHNOLOGIES's long position.NTT DATA vs. Lion One Metals | NTT DATA vs. ARDAGH METAL PACDL 0001 | NTT DATA vs. CeoTronics AG | NTT DATA vs. SIMS METAL MGT |
SOFI TECHNOLOGIES vs. China Resources Beer | SOFI TECHNOLOGIES vs. SBA Communications Corp | SOFI TECHNOLOGIES vs. Charter Communications | SOFI TECHNOLOGIES vs. SCANSOURCE |
Check out your portfolio center.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 Stocks Directory module to find actively traded stocks across global markets.
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