Correlation Between Daimler Truck and SOFI TECHNOLOGIES
Can any of the company-specific risk be diversified away by investing in both Daimler Truck 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 Daimler Truck and SOFI TECHNOLOGIES into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Daimler Truck Holding and SOFI TECHNOLOGIES, you can compare the effects of market volatilities on Daimler Truck 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 Daimler Truck with a short position of SOFI TECHNOLOGIES. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daimler Truck and SOFI TECHNOLOGIES.
Diversification Opportunities for Daimler Truck and SOFI TECHNOLOGIES
-0.09 | Correlation Coefficient |
Good diversification
The 3 months correlation between Daimler and SOFI is -0.09. Overlapping area represents the amount of risk that can be diversified away by holding Daimler Truck Holding and SOFI TECHNOLOGIES in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SOFI TECHNOLOGIES and Daimler Truck 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 Daimler Truck Holding 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 Daimler Truck i.e., Daimler Truck and SOFI TECHNOLOGIES go up and down completely randomly.
Pair Corralation between Daimler Truck and SOFI TECHNOLOGIES
Assuming the 90 days trading horizon Daimler Truck is expected to generate 1.48 times less return on investment than SOFI TECHNOLOGIES. But when comparing it to its historical volatility, Daimler Truck Holding is 1.81 times less risky than SOFI TECHNOLOGIES. It trades about 0.19 of its potential returns per unit of risk. SOFI TECHNOLOGIES is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 1,517 in SOFI TECHNOLOGIES on October 26, 2024 and sell it today you would earn a total of 155.00 from holding SOFI TECHNOLOGIES or generate 10.22% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Daimler Truck Holding vs. SOFI TECHNOLOGIES
Performance |
Timeline |
Daimler Truck Holding |
SOFI TECHNOLOGIES |
Daimler Truck and SOFI TECHNOLOGIES Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Daimler Truck and SOFI TECHNOLOGIES
The main advantage of trading using opposite Daimler Truck and SOFI TECHNOLOGIES positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daimler Truck 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's long position.Daimler Truck vs. Infrastrutture Wireless Italiane | Daimler Truck vs. Pembina Pipeline Corp | Daimler Truck vs. Media and Games | Daimler Truck vs. AWILCO DRILLING PLC |
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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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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