Correlation Between Li Auto and East Africa
Can any of the company-specific risk be diversified away by investing in both Li Auto and East Africa 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 Li Auto and East Africa into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Li Auto and East Africa Metals, you can compare the effects of market volatilities on Li Auto and East Africa 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 Li Auto with a short position of East Africa. Check out your portfolio center. Please also check ongoing floating volatility patterns of Li Auto and East Africa.
Diversification Opportunities for Li Auto and East Africa
0.2 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Li Auto and East is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding Li Auto and East Africa Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on East Africa Metals and Li Auto 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 Li Auto are associated (or correlated) with East Africa. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of East Africa Metals has no effect on the direction of Li Auto i.e., Li Auto and East Africa go up and down completely randomly.
Pair Corralation between Li Auto and East Africa
Allowing for the 90-day total investment horizon Li Auto is expected to under-perform the East Africa. But the stock apears to be less risky and, when comparing its historical volatility, Li Auto is 5.04 times less risky than East Africa. The stock trades about -0.01 of its potential returns per unit of risk. The East Africa Metals is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 1.41 in East Africa Metals on September 28, 2024 and sell it today you would earn a total of 9.59 from holding East Africa Metals or generate 680.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 99.63% |
Values | Daily Returns |
Li Auto vs. East Africa Metals
Performance |
Timeline |
Li Auto |
East Africa Metals |
Li Auto and East Africa Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Li Auto and East Africa
The main advantage of trading using opposite Li Auto and East Africa positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Li Auto position performs unexpectedly, East Africa 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 East Africa will offset losses from the drop in East Africa's long position.The idea behind Li Auto and East Africa Metals 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.East Africa vs. Puma Exploration | East Africa vs. Sixty North Gold | East Africa vs. Red Pine Exploration | East Africa vs. Altamira Gold Corp |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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