Correlation Between SOFI TECHNOLOGIES and THORNEY TECHS
Can any of the company-specific risk be diversified away by investing in both SOFI TECHNOLOGIES and THORNEY TECHS 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 THORNEY TECHS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SOFI TECHNOLOGIES and THORNEY TECHS LTD, you can compare the effects of market volatilities on SOFI TECHNOLOGIES and THORNEY TECHS 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 THORNEY TECHS. Check out your portfolio center. Please also check ongoing floating volatility patterns of SOFI TECHNOLOGIES and THORNEY TECHS.
Diversification Opportunities for SOFI TECHNOLOGIES and THORNEY TECHS
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between SOFI and THORNEY is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding SOFI TECHNOLOGIES and THORNEY TECHS LTD in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on THORNEY TECHS LTD 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 THORNEY TECHS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of THORNEY TECHS LTD has no effect on the direction of SOFI TECHNOLOGIES i.e., SOFI TECHNOLOGIES and THORNEY TECHS go up and down completely randomly.
Pair Corralation between SOFI TECHNOLOGIES and THORNEY TECHS
Assuming the 90 days horizon SOFI TECHNOLOGIES is expected to generate 0.82 times more return on investment than THORNEY TECHS. However, SOFI TECHNOLOGIES is 1.22 times less risky than THORNEY TECHS. It trades about 0.33 of its potential returns per unit of risk. THORNEY TECHS LTD is currently generating about 0.04 per unit of risk. If you would invest 719.00 in SOFI TECHNOLOGIES on September 2, 2024 and sell it today you would earn a total of 845.00 from holding SOFI TECHNOLOGIES or generate 117.52% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
SOFI TECHNOLOGIES vs. THORNEY TECHS LTD
Performance |
| Timeline |
| SOFI TECHNOLOGIES |
| THORNEY TECHS LTD |
SOFI TECHNOLOGIES and THORNEY TECHS Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with SOFI TECHNOLOGIES and THORNEY TECHS
The main advantage of trading using opposite SOFI TECHNOLOGIES and THORNEY TECHS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SOFI TECHNOLOGIES position performs unexpectedly, THORNEY TECHS 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 THORNEY TECHS will offset losses from the drop in THORNEY TECHS's long position.| SOFI TECHNOLOGIES vs. Apple Inc | SOFI TECHNOLOGIES vs. Apple Inc | SOFI TECHNOLOGIES vs. Apple Inc | SOFI TECHNOLOGIES vs. Apple Inc |
| THORNEY TECHS vs. Apple Inc | THORNEY TECHS vs. Apple Inc | THORNEY TECHS vs. Apple Inc | THORNEY TECHS vs. Apple 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 Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
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