Correlation Between SMA Solar and Uber Technologies
Can any of the company-specific risk be diversified away by investing in both SMA Solar and Uber 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 SMA Solar and Uber Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SMA Solar Technology and Uber Technologies, you can compare the effects of market volatilities on SMA Solar and Uber 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 SMA Solar with a short position of Uber Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of SMA Solar and Uber Technologies.
Diversification Opportunities for SMA Solar and Uber Technologies
0.29 | Correlation Coefficient |
Modest diversification
The 3 months correlation between SMA and Uber is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding SMA Solar Technology and Uber Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Uber Technologies and SMA Solar 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 SMA Solar Technology are associated (or correlated) with Uber Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Uber Technologies has no effect on the direction of SMA Solar i.e., SMA Solar and Uber Technologies go up and down completely randomly.
Pair Corralation between SMA Solar and Uber Technologies
Assuming the 90 days trading horizon SMA Solar Technology is expected to generate 2.24 times more return on investment than Uber Technologies. However, SMA Solar is 2.24 times more volatile than Uber Technologies. It trades about 0.1 of its potential returns per unit of risk. Uber Technologies is currently generating about 0.12 per unit of risk. If you would invest 1,353 in SMA Solar Technology on December 29, 2024 and sell it today you would earn a total of 411.00 from holding SMA Solar Technology or generate 30.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.46% |
Values | Daily Returns |
SMA Solar Technology vs. Uber Technologies
Performance |
Timeline |
SMA Solar Technology |
Uber Technologies |
SMA Solar and Uber Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SMA Solar and Uber Technologies
The main advantage of trading using opposite SMA Solar and Uber Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SMA Solar position performs unexpectedly, Uber 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 Uber Technologies will offset losses from the drop in Uber Technologies' long position.SMA Solar vs. Samsung Electronics Co | SMA Solar vs. Toyota Motor Corp | SMA Solar vs. State Bank of | SMA Solar vs. SoftBank Group Corp |
Uber Technologies vs. AcadeMedia AB | Uber Technologies vs. Flutter Entertainment PLC | Uber Technologies vs. Universal Display Corp | Uber Technologies vs. X FAB Silicon Foundries |
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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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