Correlation Between Hyster Yale and Sanyo Chemical
Can any of the company-specific risk be diversified away by investing in both Hyster Yale and Sanyo Chemical 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 Hyster Yale and Sanyo Chemical into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hyster Yale Materials Handling and Sanyo Chemical Industries, you can compare the effects of market volatilities on Hyster Yale and Sanyo Chemical 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 Hyster Yale with a short position of Sanyo Chemical. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hyster Yale and Sanyo Chemical.
Diversification Opportunities for Hyster Yale and Sanyo Chemical
-0.11 | Correlation Coefficient |
Good diversification
The 3 months correlation between Hyster and Sanyo is -0.11. Overlapping area represents the amount of risk that can be diversified away by holding Hyster Yale Materials Handling and Sanyo Chemical Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sanyo Chemical Industries and Hyster Yale 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 Hyster Yale Materials Handling are associated (or correlated) with Sanyo Chemical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sanyo Chemical Industries has no effect on the direction of Hyster Yale i.e., Hyster Yale and Sanyo Chemical go up and down completely randomly.
Pair Corralation between Hyster Yale and Sanyo Chemical
Assuming the 90 days trading horizon Hyster Yale Materials Handling is expected to under-perform the Sanyo Chemical. In addition to that, Hyster Yale is 1.69 times more volatile than Sanyo Chemical Industries. It trades about -0.07 of its total potential returns per unit of risk. Sanyo Chemical Industries is currently generating about 0.04 per unit of volatility. If you would invest 2,380 in Sanyo Chemical Industries on December 22, 2024 and sell it today you would earn a total of 60.00 from holding Sanyo Chemical Industries or generate 2.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.36% |
Values | Daily Returns |
Hyster Yale Materials Handling vs. Sanyo Chemical Industries
Performance |
Timeline |
Hyster Yale Materials |
Sanyo Chemical Industries |
Hyster Yale and Sanyo Chemical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hyster Yale and Sanyo Chemical
The main advantage of trading using opposite Hyster Yale and Sanyo Chemical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hyster Yale position performs unexpectedly, Sanyo Chemical 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 Sanyo Chemical will offset losses from the drop in Sanyo Chemical's long position.Hyster Yale vs. Citic Telecom International | Hyster Yale vs. MPH Health Care | Hyster Yale vs. Phibro Animal Health | Hyster Yale vs. EPSILON HEALTHCARE LTD |
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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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