Correlation Between Xeros Technology and SoftBank Group
Can any of the company-specific risk be diversified away by investing in both Xeros Technology and SoftBank Group 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 Xeros Technology and SoftBank Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Xeros Technology Group and SoftBank Group Corp, you can compare the effects of market volatilities on Xeros Technology and SoftBank Group 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 Xeros Technology with a short position of SoftBank Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xeros Technology and SoftBank Group.
Diversification Opportunities for Xeros Technology and SoftBank Group
-0.72 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Xeros and SoftBank is -0.72. Overlapping area represents the amount of risk that can be diversified away by holding Xeros Technology Group and SoftBank Group Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SoftBank Group Corp and Xeros Technology 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 Xeros Technology Group are associated (or correlated) with SoftBank Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SoftBank Group Corp has no effect on the direction of Xeros Technology i.e., Xeros Technology and SoftBank Group go up and down completely randomly.
Pair Corralation between Xeros Technology and SoftBank Group
Assuming the 90 days trading horizon Xeros Technology Group is expected to generate 2.83 times more return on investment than SoftBank Group. However, Xeros Technology is 2.83 times more volatile than SoftBank Group Corp. It trades about 0.21 of its potential returns per unit of risk. SoftBank Group Corp is currently generating about -0.02 per unit of risk. If you would invest 43.00 in Xeros Technology Group on October 15, 2024 and sell it today you would earn a total of 12.00 from holding Xeros Technology Group or generate 27.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 72.22% |
Values | Daily Returns |
Xeros Technology Group vs. SoftBank Group Corp
Performance |
Timeline |
Xeros Technology |
SoftBank Group Corp |
Xeros Technology and SoftBank Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Xeros Technology and SoftBank Group
The main advantage of trading using opposite Xeros Technology and SoftBank Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xeros Technology position performs unexpectedly, SoftBank Group 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 SoftBank Group will offset losses from the drop in SoftBank Group's long position.Xeros Technology vs. Edita Food Industries | Xeros Technology vs. Hilton Food Group | Xeros Technology vs. Light Science Technologies | Xeros Technology vs. Associated British Foods |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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