Correlation Between SoftBank Group and Big Technologies
Can any of the company-specific risk be diversified away by investing in both SoftBank Group and Big 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 SoftBank Group and Big Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SoftBank Group Corp and Big Technologies PLC, you can compare the effects of market volatilities on SoftBank Group and Big 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 SoftBank Group with a short position of Big Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of SoftBank Group and Big Technologies.
Diversification Opportunities for SoftBank Group and Big Technologies
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between SoftBank and Big is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding SoftBank Group Corp and Big Technologies PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Big Technologies PLC and SoftBank Group 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 SoftBank Group Corp are associated (or correlated) with Big Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Big Technologies PLC has no effect on the direction of SoftBank Group i.e., SoftBank Group and Big Technologies go up and down completely randomly.
Pair Corralation between SoftBank Group and Big Technologies
Assuming the 90 days trading horizon SoftBank Group is expected to generate 1.07 times less return on investment than Big Technologies. In addition to that, SoftBank Group is 1.06 times more volatile than Big Technologies PLC. It trades about 0.15 of its total potential returns per unit of risk. Big Technologies PLC is currently generating about 0.16 per unit of volatility. If you would invest 11,000 in Big Technologies PLC on September 17, 2024 and sell it today you would earn a total of 2,900 from holding Big Technologies PLC or generate 26.36% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 67.69% |
Values | Daily Returns |
SoftBank Group Corp vs. Big Technologies PLC
Performance |
Timeline |
SoftBank Group Corp |
Big Technologies PLC |
SoftBank Group and Big Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SoftBank Group and Big Technologies
The main advantage of trading using opposite SoftBank Group and Big Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SoftBank Group position performs unexpectedly, Big 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 Big Technologies will offset losses from the drop in Big Technologies' long position.SoftBank Group vs. Toyota Motor Corp | SoftBank Group vs. OTP Bank Nyrt | SoftBank Group vs. Hershey Co | SoftBank Group vs. Humana Inc |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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