Correlation Between SoFi Technologies and Sekisui House
Can any of the company-specific risk be diversified away by investing in both SoFi Technologies and Sekisui House 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 SoFi Technologies and Sekisui House into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SoFi Technologies and Sekisui House, you can compare the effects of market volatilities on SoFi Technologies and Sekisui House 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 SoFi Technologies with a short position of Sekisui House. Check out your portfolio center. Please also check ongoing floating volatility patterns of SoFi Technologies and Sekisui House.
Diversification Opportunities for SoFi Technologies and Sekisui House
-0.83 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between SoFi and Sekisui is -0.83. Overlapping area represents the amount of risk that can be diversified away by holding SoFi Technologies and Sekisui House in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sekisui House and SoFi Technologies 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 SoFi Technologies are associated (or correlated) with Sekisui House. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sekisui House has no effect on the direction of SoFi Technologies i.e., SoFi Technologies and Sekisui House go up and down completely randomly.
Pair Corralation between SoFi Technologies and Sekisui House
Given the investment horizon of 90 days SoFi Technologies is expected to generate 1.05 times more return on investment than Sekisui House. However, SoFi Technologies is 1.05 times more volatile than Sekisui House. It trades about 0.37 of its potential returns per unit of risk. Sekisui House is currently generating about -0.07 per unit of risk. If you would invest 746.00 in SoFi Technologies on September 12, 2024 and sell it today you would earn a total of 783.00 from holding SoFi Technologies or generate 104.96% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
SoFi Technologies vs. Sekisui House
Performance |
Timeline |
SoFi Technologies |
Sekisui House |
SoFi Technologies and Sekisui House Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SoFi Technologies and Sekisui House
The main advantage of trading using opposite SoFi Technologies and Sekisui House positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SoFi Technologies position performs unexpectedly, Sekisui House 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 Sekisui House will offset losses from the drop in Sekisui House's long position.SoFi Technologies vs. Victory Integrity Smallmid Cap | SoFi Technologies vs. Hilton Worldwide Holdings | SoFi Technologies vs. NVIDIA | SoFi Technologies vs. JPMorgan Chase Co |
Sekisui House vs. Greystone Logistics | Sekisui House vs. Mill City Ventures | Sekisui House vs. Black Diamond Group | Sekisui House vs. HUMANA INC |
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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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