Correlation Between E I and Ganfeng Lithium
Can any of the company-specific risk be diversified away by investing in both E I and Ganfeng Lithium 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 E I and Ganfeng Lithium into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between E I du and Ganfeng Lithium Co, you can compare the effects of market volatilities on E I and Ganfeng Lithium 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 E I with a short position of Ganfeng Lithium. Check out your portfolio center. Please also check ongoing floating volatility patterns of E I and Ganfeng Lithium.
Diversification Opportunities for E I and Ganfeng Lithium
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between CTA-PA and Ganfeng is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding E I du and Ganfeng Lithium Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ganfeng Lithium and E I 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 E I du are associated (or correlated) with Ganfeng Lithium. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ganfeng Lithium has no effect on the direction of E I i.e., E I and Ganfeng Lithium go up and down completely randomly.
Pair Corralation between E I and Ganfeng Lithium
Assuming the 90 days trading horizon E I is expected to generate 1.57 times less return on investment than Ganfeng Lithium. But when comparing it to its historical volatility, E I du is 2.06 times less risky than Ganfeng Lithium. It trades about 0.01 of its potential returns per unit of risk. Ganfeng Lithium Co is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 458.00 in Ganfeng Lithium Co on August 30, 2024 and sell it today you would lose (149.00) from holding Ganfeng Lithium Co or give up 32.53% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Flat |
| Strength | Insignificant |
| Accuracy | 98.99% |
| Values | Daily Returns |
E I du vs. Ganfeng Lithium Co
Performance |
| Timeline |
| E I du |
| Ganfeng Lithium |
E I and Ganfeng Lithium Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with E I and Ganfeng Lithium
The main advantage of trading using opposite E I and Ganfeng Lithium positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if E I position performs unexpectedly, Ganfeng Lithium 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 Ganfeng Lithium will offset losses from the drop in Ganfeng Lithium's long position.The idea behind E I du and Ganfeng Lithium Co pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| Ganfeng Lithium vs. First Graphene | Ganfeng Lithium vs. ASP Isotopes Common | Ganfeng Lithium vs. Black Swan Graphene | Ganfeng Lithium vs. Shin Etsu Chemical Co |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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