Correlation Between Hyundai and PUMA SE
Can any of the company-specific risk be diversified away by investing in both Hyundai and PUMA SE 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 Hyundai and PUMA SE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hyundai Motor Co and PUMA SE, you can compare the effects of market volatilities on Hyundai and PUMA SE 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 Hyundai with a short position of PUMA SE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hyundai and PUMA SE.
Diversification Opportunities for Hyundai and PUMA SE
Pay attention - limited upside
The 3 months correlation between Hyundai and PUMA is -0.89. Overlapping area represents the amount of risk that can be diversified away by holding Hyundai Motor Co and PUMA SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PUMA SE and Hyundai 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 Hyundai Motor Co are associated (or correlated) with PUMA SE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PUMA SE has no effect on the direction of Hyundai i.e., Hyundai and PUMA SE go up and down completely randomly.
Pair Corralation between Hyundai and PUMA SE
Assuming the 90 days horizon Hyundai Motor Co is expected to generate 0.99 times more return on investment than PUMA SE. However, Hyundai Motor Co is 1.01 times less risky than PUMA SE. It trades about 0.07 of its potential returns per unit of risk. PUMA SE is currently generating about -0.02 per unit of risk. If you would invest 2,854 in Hyundai Motor Co on August 31, 2024 and sell it today you would earn a total of 2,846 from holding Hyundai Motor Co or generate 99.72% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Hyundai Motor Co vs. PUMA SE
Performance |
| Timeline |
| Hyundai Motor |
| PUMA SE |
Hyundai and PUMA SE Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Hyundai and PUMA SE
The main advantage of trading using opposite Hyundai and PUMA SE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hyundai position performs unexpectedly, PUMA SE 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 PUMA SE will offset losses from the drop in PUMA SE's long position.The idea behind Hyundai Motor Co and PUMA SE 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.| PUMA SE vs. Asics Corp ADR | PUMA SE vs. American Rebel Holdings | PUMA SE vs. American Rebel Holdings | PUMA SE vs. Crocs Inc |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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