Correlation Between Hesai Group and Mullen Automotive
Can any of the company-specific risk be diversified away by investing in both Hesai Group and Mullen Automotive 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 Hesai Group and Mullen Automotive into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hesai Group American and Mullen Automotive, you can compare the effects of market volatilities on Hesai Group and Mullen Automotive 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 Hesai Group with a short position of Mullen Automotive. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hesai Group and Mullen Automotive.
Diversification Opportunities for Hesai Group and Mullen Automotive
-0.55 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Hesai and Mullen is -0.55. Overlapping area represents the amount of risk that can be diversified away by holding Hesai Group American and Mullen Automotive in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mullen Automotive and Hesai Group 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 Hesai Group American are associated (or correlated) with Mullen Automotive. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mullen Automotive has no effect on the direction of Hesai Group i.e., Hesai Group and Mullen Automotive go up and down completely randomly.
Pair Corralation between Hesai Group and Mullen Automotive
Given the investment horizon of 90 days Hesai Group American is expected to generate 0.54 times more return on investment than Mullen Automotive. However, Hesai Group American is 1.84 times less risky than Mullen Automotive. It trades about 0.26 of its potential returns per unit of risk. Mullen Automotive is currently generating about 0.1 per unit of risk. If you would invest 455.00 in Hesai Group American on August 31, 2024 and sell it today you would earn a total of 280.00 from holding Hesai Group American or generate 61.54% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Hesai Group American vs. Mullen Automotive
Performance |
Timeline |
Hesai Group American |
Mullen Automotive |
Hesai Group and Mullen Automotive Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hesai Group and Mullen Automotive
The main advantage of trading using opposite Hesai Group and Mullen Automotive positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hesai Group position performs unexpectedly, Mullen Automotive 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 Mullen Automotive will offset losses from the drop in Mullen Automotive's long position.Hesai Group vs. Proficient Auto Logistics, | Hesai Group vs. Skillful Craftsman Education | Hesai Group vs. Nexstar Broadcasting Group | Hesai Group vs. Bright Scholar Education |
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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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