Correlation Between 360 Finance and SoFi Technologies
Can any of the company-specific risk be diversified away by investing in both 360 Finance 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 360 Finance and SoFi Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between 360 Finance and SoFi Technologies, you can compare the effects of market volatilities on 360 Finance 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 360 Finance with a short position of SoFi Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of 360 Finance and SoFi Technologies.
Diversification Opportunities for 360 Finance and SoFi Technologies
-0.35 | Correlation Coefficient |
Very good diversification
The 3 months correlation between 360 and SoFi is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding 360 Finance and SoFi Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SoFi Technologies and 360 Finance 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 360 Finance 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 360 Finance i.e., 360 Finance and SoFi Technologies go up and down completely randomly.
Pair Corralation between 360 Finance and SoFi Technologies
Given the investment horizon of 90 days 360 Finance is expected to generate 0.81 times more return on investment than SoFi Technologies. However, 360 Finance is 1.24 times less risky than SoFi Technologies. It trades about 0.11 of its potential returns per unit of risk. SoFi Technologies is currently generating about -0.07 per unit of risk. If you would invest 3,824 in 360 Finance on December 26, 2024 and sell it today you would earn a total of 813.00 from holding 360 Finance or generate 21.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
360 Finance vs. SoFi Technologies
Performance |
Timeline |
360 Finance |
SoFi Technologies |
360 Finance and SoFi Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with 360 Finance and SoFi Technologies
The main advantage of trading using opposite 360 Finance and SoFi Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if 360 Finance 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' long position.360 Finance vs. Magna International | 360 Finance vs. Cars Inc | 360 Finance vs. Marine Products | 360 Finance vs. PACCAR Inc |
SoFi Technologies vs. Upstart Holdings | SoFi Technologies vs. Affirm Holdings | SoFi Technologies vs. Lucid Group | SoFi Technologies vs. Palantir Technologies Class |
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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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