Correlation Between Fast Retailing and Hyundai
Can any of the company-specific risk be diversified away by investing in both Fast Retailing and Hyundai 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 Fast Retailing and Hyundai into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fast Retailing Co and Hyundai Motor, you can compare the effects of market volatilities on Fast Retailing and Hyundai 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 Fast Retailing with a short position of Hyundai. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fast Retailing and Hyundai.
Diversification Opportunities for Fast Retailing and Hyundai
0.06 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Fast and Hyundai is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding Fast Retailing Co and Hyundai Motor in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hyundai Motor and Fast Retailing 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 Fast Retailing Co are associated (or correlated) with Hyundai. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hyundai Motor has no effect on the direction of Fast Retailing i.e., Fast Retailing and Hyundai go up and down completely randomly.
Pair Corralation between Fast Retailing and Hyundai
Assuming the 90 days trading horizon Fast Retailing is expected to generate 1.38 times less return on investment than Hyundai. But when comparing it to its historical volatility, Fast Retailing Co is 1.46 times less risky than Hyundai. It trades about 0.08 of its potential returns per unit of risk. Hyundai Motor is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 3,428 in Hyundai Motor on September 2, 2024 and sell it today you would earn a total of 1,772 from holding Hyundai Motor or generate 51.69% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Fast Retailing Co vs. Hyundai Motor
Performance |
| Timeline |
| Fast Retailing |
| Hyundai Motor |
Fast Retailing and Hyundai Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Fast Retailing and Hyundai
The main advantage of trading using opposite Fast Retailing and Hyundai positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fast Retailing position performs unexpectedly, Hyundai 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 Hyundai will offset losses from the drop in Hyundai's long position.| Fast Retailing vs. SIVERS SEMICONDUCTORS AB | Fast Retailing vs. Darden Restaurants | Fast Retailing vs. Reliance Steel Aluminum | Fast Retailing vs. Q2M Managementberatung AG |
| Hyundai vs. NEWELL RUBBERMAID | Hyundai vs. Materialise NV | Hyundai vs. Martin Marietta Materials | Hyundai vs. APPLIED MATERIALS |
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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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