Correlation Between Suzuki and Li Ning
Can any of the company-specific risk be diversified away by investing in both Suzuki and Li Ning 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 Suzuki and Li Ning into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Suzuki Motor and Li Ning Company, you can compare the effects of market volatilities on Suzuki and Li Ning 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 Suzuki with a short position of Li Ning. Check out your portfolio center. Please also check ongoing floating volatility patterns of Suzuki and Li Ning.
Diversification Opportunities for Suzuki and Li Ning
Excellent diversification
The 3 months correlation between Suzuki and LNNGF is -0.7. Overlapping area represents the amount of risk that can be diversified away by holding Suzuki Motor and Li Ning Company in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Li Ning Company and Suzuki 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 Suzuki Motor are associated (or correlated) with Li Ning. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Li Ning Company has no effect on the direction of Suzuki i.e., Suzuki and Li Ning go up and down completely randomly.
Pair Corralation between Suzuki and Li Ning
Assuming the 90 days horizon Suzuki Motor is expected to generate 0.62 times more return on investment than Li Ning. However, Suzuki Motor is 1.61 times less risky than Li Ning. It trades about 0.13 of its potential returns per unit of risk. Li Ning Company is currently generating about 0.01 per unit of risk. If you would invest 1,000.00 in Suzuki Motor on August 27, 2024 and sell it today you would earn a total of 56.00 from holding Suzuki Motor or generate 5.6% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Suzuki Motor vs. Li Ning Company
Performance |
| Timeline |
| Suzuki Motor |
| Li Ning Company |
Suzuki and Li Ning Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Suzuki and Li Ning
The main advantage of trading using opposite Suzuki and Li Ning positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Suzuki position performs unexpectedly, Li Ning 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 Li Ning will offset losses from the drop in Li Ning's long position.The idea behind Suzuki Motor and Li Ning Company 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.| Li Ning vs. YETI Holdings | Li Ning vs. Callaway Golf | Li Ning vs. Acushnet Holdings Corp | Li Ning vs. Planet Fitness |
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 Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..
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