Correlation Between Senmiao Technology and Vulcan Materials
Can any of the company-specific risk be diversified away by investing in both Senmiao Technology and Vulcan Materials 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 Senmiao Technology and Vulcan Materials into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Senmiao Technology and Vulcan Materials, you can compare the effects of market volatilities on Senmiao Technology and Vulcan Materials 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 Senmiao Technology with a short position of Vulcan Materials. Check out your portfolio center. Please also check ongoing floating volatility patterns of Senmiao Technology and Vulcan Materials.
Diversification Opportunities for Senmiao Technology and Vulcan Materials
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between Senmiao and Vulcan is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding Senmiao Technology and Vulcan Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vulcan Materials and Senmiao Technology 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 Senmiao Technology are associated (or correlated) with Vulcan Materials. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vulcan Materials has no effect on the direction of Senmiao Technology i.e., Senmiao Technology and Vulcan Materials go up and down completely randomly.
Pair Corralation between Senmiao Technology and Vulcan Materials
Given the investment horizon of 90 days Senmiao Technology is expected to under-perform the Vulcan Materials. In addition to that, Senmiao Technology is 3.14 times more volatile than Vulcan Materials. It trades about -0.09 of its total potential returns per unit of risk. Vulcan Materials is currently generating about 0.12 per unit of volatility. If you would invest 26,287 in Vulcan Materials on October 24, 2024 and sell it today you would earn a total of 723.00 from holding Vulcan Materials or generate 2.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Senmiao Technology vs. Vulcan Materials
Performance |
Timeline |
Senmiao Technology |
Vulcan Materials |
Senmiao Technology and Vulcan Materials Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Senmiao Technology and Vulcan Materials
The main advantage of trading using opposite Senmiao Technology and Vulcan Materials positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Senmiao Technology position performs unexpectedly, Vulcan Materials 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 Vulcan Materials will offset losses from the drop in Vulcan Materials' long position.Senmiao Technology vs. X Financial Class | Senmiao Technology vs. Yirendai | Senmiao Technology vs. Pintec Technology Holdings | Senmiao Technology vs. Qudian Inc |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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