Correlation Between Li Peng and Zig Sheng
Can any of the company-specific risk be diversified away by investing in both Li Peng and Zig Sheng 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 Peng and Zig Sheng into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Li Peng Enterprise and Zig Sheng Industrial, you can compare the effects of market volatilities on Li Peng and Zig Sheng 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 Peng with a short position of Zig Sheng. Check out your portfolio center. Please also check ongoing floating volatility patterns of Li Peng and Zig Sheng.
Diversification Opportunities for Li Peng and Zig Sheng
Very poor diversification
The 3 months correlation between 1447 and Zig is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Li Peng Enterprise and Zig Sheng Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Zig Sheng Industrial and Li Peng 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 Peng Enterprise are associated (or correlated) with Zig Sheng. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Zig Sheng Industrial has no effect on the direction of Li Peng i.e., Li Peng and Zig Sheng go up and down completely randomly.
Pair Corralation between Li Peng and Zig Sheng
Assuming the 90 days trading horizon Li Peng Enterprise is expected to generate 0.92 times more return on investment than Zig Sheng. However, Li Peng Enterprise is 1.08 times less risky than Zig Sheng. It trades about 0.04 of its potential returns per unit of risk. Zig Sheng Industrial is currently generating about -0.28 per unit of risk. If you would invest 707.00 in Li Peng Enterprise on November 3, 2024 and sell it today you would earn a total of 5.00 from holding Li Peng Enterprise or generate 0.71% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Li Peng Enterprise vs. Zig Sheng Industrial
Performance |
| Timeline |
| Li Peng Enterprise |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
| Zig Sheng Industrial |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Li Peng and Zig Sheng Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Li Peng and Zig Sheng
The main advantage of trading using opposite Li Peng and Zig Sheng positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Li Peng position performs unexpectedly, Zig Sheng 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 Zig Sheng will offset losses from the drop in Zig Sheng's long position.The idea behind Li Peng Enterprise and Zig Sheng Industrial 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.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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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