Correlation Between SoFi Technologies and Acciona SA
Can any of the company-specific risk be diversified away by investing in both SoFi Technologies and Acciona 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 Acciona 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 Acciona SA, you can compare the effects of market volatilities on SoFi Technologies and Acciona 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 Acciona SA. Check out your portfolio center. Please also check ongoing floating volatility patterns of SoFi Technologies and Acciona SA.
Diversification Opportunities for SoFi Technologies and Acciona SA
-0.89 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between SoFi and Acciona is -0.89. Overlapping area represents the amount of risk that can be diversified away by holding SoFi Technologies and Acciona SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Acciona 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 Acciona SA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Acciona SA has no effect on the direction of SoFi Technologies i.e., SoFi Technologies and Acciona SA go up and down completely randomly.
Pair Corralation between SoFi Technologies and Acciona SA
Given the investment horizon of 90 days SoFi Technologies is expected to generate 1.23 times more return on investment than Acciona SA. However, SoFi Technologies is 1.23 times more volatile than Acciona SA. It trades about 0.41 of its potential returns per unit of risk. Acciona SA is currently generating about -0.07 per unit of risk. If you would invest 1,119 in SoFi Technologies on August 29, 2024 and sell it today you would earn a total of 430.00 from holding SoFi Technologies or generate 38.43% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Significant |
| Accuracy | 95.65% |
| Values | Daily Returns |
SoFi Technologies vs. Acciona SA
Performance |
| Timeline |
| SoFi Technologies |
| Acciona SA |
SoFi Technologies and Acciona SA Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with SoFi Technologies and Acciona SA
The main advantage of trading using opposite SoFi Technologies and Acciona SA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SoFi Technologies position performs unexpectedly, Acciona 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 Acciona SA will offset losses from the drop in Acciona SA's long position.| SoFi Technologies vs. Visa Class A | SoFi Technologies vs. Mastercard | SoFi Technologies vs. Discover Financial Services |
| Acciona SA vs. JGC Corp | Acciona SA vs. ACS Actividades de | Acciona SA vs. Kajima Corp ADR | Acciona SA vs. ACS Actividades De |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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