Correlation Between SOFI TECHNOLOGIES and Kering SA
Can any of the company-specific risk be diversified away by investing in both SOFI TECHNOLOGIES and Kering SA 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 Kering SA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SOFI TECHNOLOGIES and Kering SA, you can compare the effects of market volatilities on SOFI TECHNOLOGIES and Kering SA 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 Kering SA. Check out your portfolio center. Please also check ongoing floating volatility patterns of SOFI TECHNOLOGIES and Kering SA.
Diversification Opportunities for SOFI TECHNOLOGIES and Kering SA
-0.1 | Correlation Coefficient |
Good diversification
The 3 months correlation between SOFI and Kering is -0.1. Overlapping area represents the amount of risk that can be diversified away by holding SOFI TECHNOLOGIES and Kering SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kering SA 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 Kering SA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kering SA has no effect on the direction of SOFI TECHNOLOGIES i.e., SOFI TECHNOLOGIES and Kering SA go up and down completely randomly.
Pair Corralation between SOFI TECHNOLOGIES and Kering SA
Assuming the 90 days horizon SOFI TECHNOLOGIES is expected to generate 1.86 times more return on investment than Kering SA. However, SOFI TECHNOLOGIES is 1.86 times more volatile than Kering SA. It trades about -0.04 of its potential returns per unit of risk. Kering SA is currently generating about -0.18 per unit of risk. If you would invest 1,485 in SOFI TECHNOLOGIES on October 11, 2024 and sell it today you would lose (48.00) from holding SOFI TECHNOLOGIES or give up 3.23% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SOFI TECHNOLOGIES vs. Kering SA
Performance |
Timeline |
SOFI TECHNOLOGIES |
Kering SA |
SOFI TECHNOLOGIES and Kering SA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SOFI TECHNOLOGIES and Kering SA
The main advantage of trading using opposite SOFI TECHNOLOGIES and Kering SA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SOFI TECHNOLOGIES position performs unexpectedly, Kering SA 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 Kering SA will offset losses from the drop in Kering SA's long position.SOFI TECHNOLOGIES vs. CITIC Telecom International | SOFI TECHNOLOGIES vs. Geely Automobile Holdings | SOFI TECHNOLOGIES vs. Calibre Mining Corp | SOFI TECHNOLOGIES vs. SK TELECOM TDADR |
Kering SA vs. Uber Technologies | Kering SA vs. China Resources Beer | Kering SA vs. SOFI TECHNOLOGIES | Kering SA vs. Bio Techne Corp |
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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