Correlation Between Eshallgo and Marvell Technology
Can any of the company-specific risk be diversified away by investing in both Eshallgo and Marvell Technology 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 Eshallgo and Marvell Technology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Eshallgo Class A and Marvell Technology Group, you can compare the effects of market volatilities on Eshallgo and Marvell Technology 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 Eshallgo with a short position of Marvell Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Eshallgo and Marvell Technology.
Diversification Opportunities for Eshallgo and Marvell Technology
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Eshallgo and Marvell is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Eshallgo Class A and Marvell Technology Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Marvell Technology and Eshallgo 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 Eshallgo Class A are associated (or correlated) with Marvell Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Marvell Technology has no effect on the direction of Eshallgo i.e., Eshallgo and Marvell Technology go up and down completely randomly.
Pair Corralation between Eshallgo and Marvell Technology
Given the investment horizon of 90 days Eshallgo Class A is expected to generate 3.38 times more return on investment than Marvell Technology. However, Eshallgo is 3.38 times more volatile than Marvell Technology Group. It trades about 0.33 of its potential returns per unit of risk. Marvell Technology Group is currently generating about 0.2 per unit of risk. If you would invest 236.00 in Eshallgo Class A on August 28, 2024 and sell it today you would earn a total of 156.00 from holding Eshallgo Class A or generate 66.1% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Eshallgo Class A vs. Marvell Technology Group
Performance |
Timeline |
Eshallgo Class A |
Marvell Technology |
Eshallgo and Marvell Technology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Eshallgo and Marvell Technology
The main advantage of trading using opposite Eshallgo and Marvell Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Eshallgo position performs unexpectedly, Marvell Technology 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 Marvell Technology will offset losses from the drop in Marvell Technology's long position.Eshallgo vs. Lululemon Athletica | Eshallgo vs. Asbury Automotive Group | Eshallgo vs. SunLink Health Systems | Eshallgo vs. Simon Property Group |
Marvell Technology vs. NVIDIA | Marvell Technology vs. Intel | Marvell Technology vs. Taiwan Semiconductor Manufacturing | Marvell Technology vs. Micron Technology |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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